A method and device for calculating green travel ratio index

Abstract

The present invention discloses a method and device for calculating a green travel ratio index, which relates to the technical field of transportation travel, and automatically calculates the green travel ratio index, which is efficient and accurate. The main technical scheme of the present invention is as follows: the present invention first constructs a transportation travel structure, including a target green travel mode, a target non-green travel mode and other travel modes, and under the transportation travel structure, uses the acquired traffic operation monitoring data and a preset calculation method to calculate the rail transit travel volume and the ground bus travel volume, and calculates the bicycle travel volume, the walking travel volume and the total travel volume within the research scope, so as to calculate the ratio between the target green travel mode travel volume and the total travel volume, and then uses the green travel ratio fed back by the preset survey method to verify, so as to ensure that the green travel ratio index corresponding to the final target green travel mode calculated is accurate. The present invention is mainly used to realize the automatic calculation of the green travel ratio index.

Description

Technical Field

[0001] The present invention relates to the field of transportation technology, and in particular to a method and device for calculating a green travel ratio index. Background Art

[0002] As an important indicator for measuring urban transportation, the green travel ratio index is in line with the general trend of low-carbon, green, energy-saving and environmental protection in my country. Many cities in China have listed it as a planning indicator. The green travel ratio is defined as the proportion of green travel modes (generally referring to rail transit, ground public transportation, bicycles, and walking) chosen by the public. Regularly measuring and monitoring the green travel ratio index and timely warning of the trend of indicator changes are very important for the indicator to reach the target value.

[0003] At present, the following two methods are generally used to calculate the green travel proportion index: one method is to conduct a sampling survey and publish the results after the sampling survey is expanded; the other method is to calculate the index through traffic operation monitoring data.

[0004] However, for the above two methods currently used: as for the former method, if a large-scale sampling survey is required, although relatively accurate results can be obtained, its cost is too high and the data processing time is slow. It usually takes more than one year to implement the survey and process the data, and it is impossible to achieve regular monitoring indicators on an annual or even smaller granularity basis. However, if it is a small-scale sampling survey with a small sample size, even if the sample is expanded according to relevant parameters, the accuracy is still not high; as for the latter method, the only monitoring data available are passenger volume of buses, subways, and taxis. It is impossible to directly obtain travel volume data for private cars, walking, and bicycles, and thus it is impossible to calculate an accurate green travel ratio indicator. Summary of the invention

[0005] In view of this, the present invention provides a method and device for calculating the green travel proportion index. The main purpose is to integrate traffic operation monitoring data, a preset calculation method, and multi-source data obtained by a preset survey method to realize automatic calculation of the green travel proportion index. The operation is simple and efficient, and the accuracy of the calculation is also improved.

[0006] In order to achieve the above object, the present invention mainly provides the following technical solutions:

[0007] The first aspect of the present application provides a method for calculating a green travel ratio index, the method comprising:

[0008] Constructing a transportation travel structure, wherein the transportation travel structure includes: a target green travel mode, a target non-green travel mode, and other travel modes, wherein the target green travel mode includes a rail transit mode, a ground bus mode, a bicycle mode, and a walking mode;

[0009] Using the acquired traffic operation monitoring data, calculating a first travel volume corresponding to the rail transit mode and a second travel volume corresponding to the ground public transportation mode;

[0010] Calculate the third travel volume corresponding to the bicycle mode by using the first preset calculation method;

[0011] Using a second preset calculation method, calculating a fourth travel volume corresponding to the walking mode;

[0012] Using a third preset calculation method, the total travel volume corresponding to the traffic travel structure is calculated;

[0013] According to the first travel volume, the second travel volume, the third travel volume, the fourth travel volume and the total travel volume, a ratio between the travel volume of the target green travel mode and the total travel volume is calculated and marked as a first indicator value;

[0014] Receive the ratio between the travel volume obtained by the investigation of the target green travel mode and the total travel volume of the traffic travel structure obtained by the investigation, which is marked as a second indicator value;

[0015] If the error between the first index value and the second index value is less than a preset threshold, the first index value is used as the green travel proportion index corresponding to the target green travel mode.

[0016] In some modified implementations of the first aspect of the present application, using the acquired traffic operation monitoring data to calculate the first travel volume corresponding to the rail transit mode includes:

[0017] Utilize the AFC card entry data of rail transit to calculate the corresponding travel volume of rail transit mode within the preset time range and geographical range.

[0018] In some modified implementations of the first aspect of the present application, using the acquired traffic operation monitoring data to calculate the second travel volume corresponding to the ground public transportation mode includes:

[0019] Configure ground bus transfer coefficients and rail transit ground bus transfer coefficients;

[0020] Counting the AFC card riding data of ground public transportation within the preset time range and geographical range as the ground public transportation passenger volume;

[0021] The connecting rail transit passenger volume is calculated by multiplying the rail transit ground bus transfer coefficient by the first travel volume;

[0022] The travel volume corresponding to the ground public transportation mode is calculated based on the difference between the ground public transportation passenger volume and the connecting rail transit passenger volume, divided by the ground public transportation transfer coefficient.

[0023] In some modified implementations of the first aspect of the present application, the calculating of the third travel volume corresponding to the bicycle mode by using the first preset calculation method includes:

[0024] Calculate the travel volume corresponding to the bicycle mode by using the shared one-way riding data monitored within the preset time range and geographical range;

[0025] Receive the corresponding bicycle travel volume within the preset time range and geographical range according to the survey feedback;

[0026] Obtaining the historical bicycle travel volume corresponding to the preset time range and geographical range;

[0027] Calculate a year-on-year change rate based on the bicycle travel volume obtained through the survey and the historical bicycle travel volume, and mark it as a first change rate value;

[0028] Calculate a year-on-year change rate based on the calculated travel volume corresponding to the bicycle mode and the historical bicycle travel volume, and mark it as a second change rate value;

[0029] If it is determined that the error between the first change rate value and the second change rate value falls within a preset error interval, weights are assigned to the first change rate value and the second change rate value respectively;

[0030] The travel volume corresponding to the bicycle travel mode is recalculated based on the calculated travel volume corresponding to the bicycle travel mode, the weight corresponding to the first change rate value, and the weight corresponding to the second change rate value.

[0031] In some modified implementations of the first aspect of the present application, the target non-green travel mode includes a taxi mode and a car mode, and before using the third preset calculation method to measure the total travel volume corresponding to the traffic travel structure, the method further includes:

[0032] The fifth travel volume corresponding to the taxi mode and the sixth travel volume corresponding to the car mode are calculated using the acquired traffic operation monitoring data.

[0033] In some modified implementations of the first aspect of the present application, the third preset calculation method is used to calculate the total travel volume corresponding to the traffic travel structure, including:

[0034] Using the mobile phone signaling data acquired within the preset time range and geographical range, a total travel volume interval corresponding to the traffic travel structure is estimated and marked as a first total travel volume interval;

[0035] Using the first total travel volume interval, the travel volume corresponding to the target green travel mode, and the travel volume corresponding to the target non-green travel mode, the travel volume interval corresponding to other travel modes is calculated;

[0036] Receive travel ratio intervals corresponding to other travel modes as reported in the survey;

[0037] Using the travel volume interval corresponding to the other travel modes and the travel proportion interval corresponding to the other travel modes, a total travel interval corresponding to the traffic travel structure is calculated and marked as a second total travel volume interval;

[0038] Taking the interval intersection according to the first total travel volume interval and the second total travel volume interval;

[0039] The middle value is selected from the intersection of the intervals as the target total travel volume.

[0040] In some modified implementations of the first aspect of the present application, the method further includes:

[0041] Verify the travel volume corresponding to the travel modes in the transportation travel structure;

[0042] Based on the verification results, determine whether the travel volume needs to be corrected.

[0043] The second aspect of the present application provides a green travel ratio index calculation device, which includes:

[0044] A construction unit is used to construct a transportation travel structure, wherein the transportation travel structure includes: a target green travel mode, a target non-green travel mode, and other travel modes, wherein the target green travel mode includes a rail transit mode, a ground bus mode, a bicycle mode, and a walking mode;

[0045] A calculation unit, used to calculate a first travel volume corresponding to the rail transit mode and a second travel volume corresponding to the ground public transportation mode by using the acquired traffic operation monitoring data;

[0046] A calculation unit, used to calculate a third travel volume corresponding to the bicycle mode by using a first preset calculation method;

[0047] The calculation unit is further used to calculate a fourth travel volume corresponding to the walking mode using a second preset calculation method;

[0048] The calculation unit is further used to calculate the total travel volume corresponding to the traffic travel structure using a third preset calculation method;

[0049] a calculation unit, configured to calculate a ratio between the travel volume of the target green travel mode and the total travel volume according to the first travel volume, the second travel volume, the third travel volume, the fourth travel volume and the total travel volume, and mark the ratio as a first indicator value;

[0050] A receiving unit, configured to receive a ratio between the travel volume corresponding to the target green travel mode obtained through a survey and the total travel volume of the traffic travel structure obtained through a survey, and mark the ratio as a second indicator value;

[0051] A determination unit is configured to use the first index value as a green travel proportion index corresponding to the target green travel mode if an error between the first index value and the second index value is less than a preset threshold.

[0052] In some modified implementations of the second aspect of the present application, the accounting unit includes:

[0053] The calculation module is used to calculate the travel volume corresponding to the rail transit mode within a preset time range and geographical range by using the AFC card swiping entry data of the rail transit.

[0054] In some modified implementations of the second aspect of the present application, the accounting unit includes:

[0055] Configuration module, used to configure ground bus transfer coefficients and rail transit ground bus transfer coefficients;

[0056] A statistics module, used to count the AFC card riding data of ground public transportation within the preset time range and geographical range as the ground public transportation passenger volume;

[0057] The calculation module is used to calculate the connecting rail transit passenger volume by multiplying the rail transit ground bus transfer coefficient by the first travel volume;

[0058] The calculation module is used to calculate the travel volume corresponding to the ground public transportation mode based on the difference between the ground public transportation passenger volume and the connecting rail transportation passenger volume, divided by the ground public transportation transfer coefficient.

[0059] In some modified implementations of the second aspect of the present application, the measuring unit includes:

[0060] A first calculation module is used to calculate the travel volume corresponding to the bicycle mode by using the shared one-way riding data monitored within the preset time range and geographical range;

[0061] A receiving module, used for receiving the bicycle travel volume corresponding to the preset time range and geographical range according to the survey feedback;

[0062] An acquisition module, used to acquire the historical bicycle travel volume corresponding to the preset time range and geographical range;

[0063] A second calculation module is used to calculate a year-on-year change rate based on the bicycle travel volume obtained through the survey and the historical bicycle travel volume, and mark it as a first change rate value;

[0064] The second calculation module is used to calculate the year-on-year change rate according to the calculated travel volume corresponding to the bicycle mode and the historical bicycle travel volume, and mark it as a second change rate value;

[0065] an allocating module, configured to allocate weights to the first change rate value and the second change rate value respectively if it is determined that the error between the first change rate value and the second change rate value falls within a preset error interval;

[0066] The correction module is used to re-correct the travel volume corresponding to the bicycle travel mode according to the calculated travel volume corresponding to the bicycle travel mode, the weight corresponding to the first change rate value, and the weight corresponding to the second change rate value.

[0067] In some modified implementations of the second aspect of the present application, the target non-green travel mode includes a taxi mode and a car mode, and the device further includes:

[0068] The calculation unit is also used to calculate the fifth travel volume corresponding to the taxi mode and the sixth travel volume corresponding to the car mode using the acquired traffic operation monitoring data before using the third preset calculation method to calculate the total travel volume corresponding to the traffic travel structure.

[0069] In some modified implementations of the second aspect of the present application, the measuring unit further includes:

[0070] A calculation module, used to calculate a total travel volume interval corresponding to the traffic travel structure by using the mobile phone signaling data acquired within the preset time range and geographical range, marked as a first total travel volume interval;

[0071] The third calculation module is further used to calculate the sum of two travel volumes by using the travel volume corresponding to the target green travel mode and the travel volume corresponding to the target non-green travel mode;

[0072] The receiving module is used to receive the travel proportion intervals corresponding to other travel modes fed back from the survey;

[0073] The calculation module is further used to calculate the two travel volumes and corresponding travel proportion intervals according to the travel proportion intervals corresponding to the other travel modes;

[0074] The third calculation module is further used to calculate the total travel interval corresponding to the traffic travel structure according to the two travel volumes and the travel proportion intervals corresponding to the two travel volumes and, which is marked as the second total travel volume interval;

[0075] An intersection module, configured to obtain an interval intersection according to the first total travel volume interval and the second total travel volume interval;

[0076] A determination module is used to select an intermediate value from the intersection of the intervals as the target total travel volume.

[0077] In some modified implementations of the second aspect of the present application, the device further includes:

[0078] A verification unit, used to verify the travel volume corresponding to the travel mode in the traffic travel structure;

[0079] The correction unit is used to determine whether the travel volume needs to be corrected according to the verification result.

[0080] A third aspect of the present application provides a storage medium, which includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the green travel proportion index calculation method as mentioned above.

[0081] A fourth aspect of the present application provides an electronic device, the device comprising at least one processor, and at least one memory and a bus connected to the processor;

[0082] Wherein, the processor and the memory communicate with each other through the bus;

[0083] The processor is used to call the program instructions in the memory to execute the green travel ratio index calculation method as described above.

[0084] By means of the above technical solution, the technical solution provided by the present invention has at least the following advantages:

[0085] The present invention provides a method and device for calculating a green travel ratio index. The present invention first constructs a traffic travel structure including a target green travel mode, a target non-green travel mode and other travel modes, and then calculates the rail transit mode travel volume and the ground bus mode travel volume under the traffic travel structure using the acquired traffic operation monitoring data and the preset calculation method, and calculates the bicycle mode travel volume, the walking mode travel volume and the total travel volume of the traffic travel structure, thereby calculating the ratio between the target green travel mode travel volume and the total travel volume, and then verifies the green travel ratio feedback by the preset survey method, thereby ensuring that the green travel ratio index corresponding to the final target green travel mode is calculated accurately. Compared with the prior art, the technical problems of high cost, low efficiency and inaccuracy of the two existing methods are solved. The present invention integrates traffic operation monitoring data, preset calculation methods and multi-source data obtained by receiving preset survey methods to realize automatic calculation of green travel ratio indicators, which is simple and efficient to operate and also improves the accuracy of calculation.

[0086] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0087] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0088] Figure 1 A flow chart of a method for calculating a green travel ratio index provided by an embodiment of the present invention;

[0089] Figure 2 A flow chart of another method for calculating a green travel ratio index provided by an embodiment of the present invention;

[0090] Figure 3 A schematic diagram of a simplified data calculation process for calculating the green travel ratio index according to an embodiment of the present invention;

[0091] Figure 4 A block diagram of a green travel ratio index calculation device provided by an embodiment of the present invention;

[0092] Figure 5 A block diagram of another green travel ratio index calculation device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0093] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0094] The embodiment of the present invention provides a method for calculating a green travel ratio index. Figure 1 As shown, the method integrates traffic operation monitoring data, a preset calculation method, and multi-source data obtained by receiving a preset survey method to automatically calculate the green travel ratio index. For this, the embodiment of the present invention provides the following specific steps:

[0095] 101. Construct a transportation travel structure, which includes: target green travel modes, target non-green travel modes and other travel modes. Target green travel modes include rail transit modes, ground public transportation modes, bicycle modes and walking modes.

[0096] It should be noted that the target green travel mode is the currently identifiable green travel mode, the target non-green travel mode is the currently identifiable non-green travel mode, and other travel modes are other parts of the current traffic travel structure except the target green travel structure and the non-green travel structure. As technology develops, more other travel modes will be presented in the future, so the several travel modes listed in this embodiment of the present invention are all currently determined green or non-green travel modes.

[0097] In the embodiment of the present invention, the green travel ratio is mainly defined as the proportion of green travel modes (generally referring to the four modes of rail transit, ground public transportation, bicycle, and walking) chosen by the public to all modes. Based on this, the target green travel mode in the transportation travel structure can include: rail transit mode, ground public transportation mode, bicycle mode, and walking mode. The target green travel mode is also the object that needs to be measured in the embodiment of the present invention. The target non-green travel structure can be a taxi mode or a car mode.

[0098] It should be noted that other travel modes may be power-assisted vehicles, travel tools for special groups (disabled persons), etc. Since the proportion of green travel modes in other travel modes is relatively small, it can be ignored for the total travel volume of the huge travel mode. That is, even if the green travel ratio index finally calculated does not include the green travel modes existing in the other travel modes, the final calculation result is not much deviated and has no adverse effects. Therefore, the green travel ratio index mainly calculated in the embodiment of the present invention refers to the ratio index of the above-mentioned target green travel mode to the total travel volume.

[0099] Furthermore, it should be noted that the embodiment of the present invention requires the pre-construction of an automated execution tool, and the automated execution tool is used to execute the following steps 101-108 to complete the automated calculation of the green travel ratio index.

[0100] 102. Utilize the acquired traffic operation monitoring data to calculate the first travel volume corresponding to the rail transit mode and the second travel volume corresponding to the ground public transportation mode.

[0101] Among them, traffic operation monitoring data can be the travel data generated by the traffic monitoring system when monitoring people’s daily travel. For example, taking the subway or bus requires swiping a card. During people’s daily travel, the card swiping data monitored belongs to the traffic operation monitoring data.

[0102] In an embodiment of the present invention, the volume of rail transit travel can be calculated from the third-party server through Internet communication using the traffic operation monitoring data collected from rail transit, and the volume of ground public transportation travel can be calculated using the traffic operation monitoring data from ground public transportation. Specifically, for the collected data, it is necessary to preset a time range and a geographical range, and then subsequently ensure that the travel volume corresponding to each travel mode obtained belongs to the same time range and geographical range, so as to facilitate the subsequent final calculation of the green travel ratio index corresponding to the preset time range and geographical range.

[0103] It should be noted that the "first", "second" and the "third, fourth, fifth, sixth" in the embodiment of the present invention do not have a sequence, but are only used to distinguish and identify the travel volume corresponding to different travel modes. For the embodiment of the present invention, the rail transit travel volume is marked as the "first travel volume", and the ground bus travel volume is marked as the "second travel volume".

[0104] 103. Calculate the third travel volume corresponding to the bicycle mode by using the first preset calculation method.

[0105] In the embodiment of the present invention, in order to distinguish it from other travel modes, the bicycle travel volume is marked as the "third travel volume". In order to measure the bicycle travel volume, the first preset calculation method mainly integrates two parts: formula calculation of bicycle appearance volume and use of survey feedback data to verify the formula calculation results.

[0106] Specifically, the formula for calculating bicycle travel volume is mainly achieved by using the shared bicycles that are generally applicable to the public, and the bicycle travel volume within a preset time range and geographical range is obtained. As for the survey method, it is mainly combined with the survey to obtain the change trend and repeatedly verify the results, which is not limited in the embodiment of the present invention. The purpose of the embodiment of the present invention is to obtain more accurate bicycle travel volume data by combining formula calculation and offline survey.

[0107] 104. Calculate the fourth travel volume corresponding to the walking mode by using the second preset calculation method.

[0108] In the embodiment of the present invention, in order to distinguish it from other travel modes, the walking travel volume is marked as the "fourth travel volume". In order to measure the walking travel volume, the second preset calculation method mainly integrates two parts: formula calculation of walking volume and use of survey feedback data to verify the formula calculation results.

[0109] Specifically, the formula for calculating the walking trip volume is mainly calculated with the help of monitoring data. For example: monitoring points are selected on different road types, including expressways, main roads, secondary roads, and branch roads. The point selections include residential areas, commercial streets, office buildings, supermarkets, parks and other types. Two working days are selected each month, and the walking flow data of the monitoring points are monitored throughout the day. Finally, the walking trip volume within the preset time range and region is obtained by statistics.

[0110] As for the survey method, it is mainly to combine the survey to obtain the change trend and repeatedly verify the result, which is not limited in the embodiment of the present invention. The purpose of the embodiment of the present invention is to obtain more accurate walking volume data by combining formula calculation and offline survey.

[0111] 105. Use the third preset calculation method to calculate the total travel volume corresponding to the traffic travel structure.

[0112] In the embodiment of the present invention, the total travel volume is the total travel volume of the traffic travel structure corresponding to step 101. Specifically, the third preset calculation method can be a method of obtaining using traffic monitoring data, a survey method, etc., which is not specifically limited here.

[0113] 106. Based on the first travel volume, the second travel volume, the third travel volume, the fourth travel volume and the total travel volume, calculate the ratio between the travel volume of the target green travel mode and the total travel volume, and mark it as the first indicator value.

[0114] In an embodiment of the present invention, the target green travel volume (i.e., rail transit, ground bus, bicycle and walking) is obtained according to the sum of the first travel volume, the second travel volume, the third travel volume and the fourth travel volume. The ratio obtained by dividing the target green travel volume by the total travel volume is marked as the first indicator value, which represents the proportion of the target green travel mode.

[0115] 107. The ratio between the travel volume corresponding to the target green travel mode received from the preset survey method and the total travel volume of the traffic travel structure obtained from the survey is marked as the second indicator value.

[0116] In an embodiment of the present invention, this step is used to calibrate the first index value obtained in step 106. Specifically, the proportion of green travel modes (i.e., the second index value) obtained by a preset survey method is received, and the second index value is used to perform the calibration operation of step 108.

[0117] 108. If the error between the first index value and the second index value is less than a preset threshold, the first index value is used as a green travel ratio index corresponding to the target green travel mode.

[0118] In the embodiment of the present invention, the error between the first index value and the second index value is mainly compared. Specifically, a preset threshold is used to measure whether the error between the two is large or small. If the error is less than the preset threshold, it is confirmed that the first index value is sufficient to accurately represent the target green travel ratio. Otherwise, it is necessary to recalculate the travel volume of each travel mode and then recalculate the target green travel ratio index.

[0119] The embodiment of the present invention provides a method for calculating the green travel ratio index. The embodiment of the present invention first constructs a traffic travel structure including a target green travel mode, a target non-green travel mode and other travel modes, and then calculates the rail transit mode travel volume and the ground bus mode travel volume under the traffic travel structure by using the acquired traffic operation monitoring data and the preset calculation method, and calculates the bicycle mode travel volume, the walking mode travel volume and the total travel volume of the traffic travel structure, so as to calculate the ratio between the target green travel mode travel volume and the total travel volume, and then uses the green travel ratio feedback from the preset survey method for verification, so as to ensure that the green travel ratio index corresponding to the final target green travel mode calculated is accurate. Compared with the prior art, the technical problems of high cost, low efficiency and inaccuracy of the two existing methods are solved. The embodiment of the present invention integrates the traffic operation monitoring data, the preset calculation method and the multi-source data obtained by the preset survey method to realize automatic calculation of the green travel ratio index, which is simple and efficient to operate and also improves the accuracy of the calculation.

[0120] In order to explain the above embodiment in more detail, the embodiment of the present invention also provides another method for calculating the green travel ratio index, such as Figure 2 As shown, the embodiment of the present invention provides the following specific steps:

[0121] 201. Construct a transportation travel structure, which includes: target green travel modes, target non-green travel modes and other travel modes. Target green travel modes include rail transit modes, ground public transportation modes, bicycle modes and walking modes.

[0122] In the embodiment of the present invention, for the description of this step, please refer to step 101, which will not be repeated here.

[0123] 202. Calculate the first travel volume corresponding to the rail transit mode and the second travel volume corresponding to the ground public transportation mode by using the acquired traffic operation monitoring data.

[0124] In the embodiment of the present invention, the calculation of rail transit travel volume mainly uses the card entry data of the rail transit automatic ticket collection (Auto Fare Collection, AFC) system. AFC is an automated ticketing and ticket checking system that integrates computer technology, information collection and processing technology, and mechanical manufacturing, and has strong intelligent functions. The convenience and accuracy of the automatic ticketing and ticket checking system are much better than the traditional paper ticketing method. It can overcome the inherent shortcomings of the manual ticketing and ticketing mode, such as slow speed, many financial loopholes, high error rate, and high labor intensity. It can prevent fake tickets, eliminate personal tickets, prevent staff from cheating, improve management level, and reduce labor intensity. It is not only a trend in the development of subways and transportation systems, but also an important embodiment of urban informatization.

[0125] According to the AFC card entry data, the entry and exit stations of travelers can be obtained, and the entry volume within the indicator measurement range can be counted, so as to calculate the travel volume corresponding to the rail transit mode within the preset time range and geographical range. Specifically, the following formula 1 can be used:

[0126] Rail transit trip volume = rail transit station entry volume;

[0127] In the embodiment of the present invention, the specific implementation steps of calculating the travel volume corresponding to the ground public transportation mode include the following:

[0128] First, configure the ground bus transfer coefficient and the rail transit ground bus transfer coefficient. Specifically, during the implementation process, the two coefficients can be pre-configured as interval values.

[0129] Secondly, the AFC card swiping data of ground public transportation within the preset time range and geographical range is counted as the ground public transportation passenger volume. The rail transit ground public transportation transfer coefficient is multiplied by the first trip volume to calculate the connecting rail transit passenger volume. Specifically, the following formula 2 can be used:

[0130] Passenger volume of connecting rail transit = rail transit ground bus transfer coefficient × rail transit travel volume;

[0131] Finally, the difference between the ground bus passenger volume and the connecting rail transit passenger volume is divided by the ground bus transfer coefficient to calculate the corresponding travel volume of the ground bus mode. Specifically, the following formula 3 can be used:

[0132] Ground bus trip volume = (ground bus passenger volume - connecting rail transit passenger volume) / ground bus transfer coefficient;

[0133] It should be noted that, in combination with the analysis of Formula 2 and Formula 3 above, the process of calculating the ground bus travel volume involves taking into account the existence of transfers between rail transit and ground bus, thereby obtaining a more accurate ground bus travel volume.

[0134] 203. Calculate the third travel volume corresponding to the bicycle mode by using the first preset calculation method.

[0135] In the embodiment of the present invention, in order to calculate the bicycle travel volume, the first preset calculation method mainly integrates two parts: calculating the bicycle appearance volume by formula and verifying the formula calculation result by using survey feedback data.

[0136] The specific implementation steps for the formula to calculate bicycle travel volume may include the following:

[0137] First, the shared one-way riding data monitored within the preset time range and geographical range is used to calculate the travel volume corresponding to the bicycle mode. Specifically, the following formula 4 can be used:

[0138] Bicycle travel volume 1 = (shared bicycle riding volume / shared bicycle proportion) × (1-bicycle connection coefficient);

[0139] Among them, the proportion of shared bicycles and the bicycle connection coefficient are pre-configured. The bicycle connection coefficient can be configured as an interval value. The proportion of shared bicycles is greatly affected by different time and different spatial ranges, and needs to be configured based on reference values ​​given by field surveys.

[0140] The specific implementation steps for using survey feedback data to verify the formula calculation results may include the following:

[0141] First, receive the bicycle travel volume within the preset time range and geographical range according to the survey feedback; obtain the historical bicycle travel volume within the preset time range and geographical range. According to the bicycle travel volume obtained through the survey and the historical bicycle travel volume, calculate the year-on-year change rate and mark it as the first change rate value.

[0142] It should be noted that the first change rate value is equivalent to being calculated using known data (bicycle travel volume and historical bicycle travel volume) obtained by a survey method.

[0143] Secondly, according to the calculated bicycle mode corresponding travel volume and historical bicycle travel volume, the year-on-year change rate is calculated and marked as the second change rate value. It should be noted that the calculated bicycle mode corresponding travel volume is obtained by the above part (i.e., the formula for calculating bicycle travel volume).

[0144] Finally, if it is determined that the error between the first change rate value and the second change rate value falls within the preset error range, weights are assigned to the first change rate value and the second change rate value respectively; based on the calculated travel volume corresponding to the bicycle mode, the weight corresponding to the first change rate value, and the weight corresponding to the second change rate value, the travel volume corresponding to the bicycle travel mode is recalculated.

[0145] Specifically, to explain this step clearly and concisely, the first change rate value is marked as a%, and the second change rate value is marked as b%. If |ab|≤3, the formula is directly used to calculate the result. If |ab|≥10, the formula parameter or survey result error is considered too large and needs to be recalculated. If 3<|ab|<10, the result is corrected, and the bicycle travel volume is recalculated with the formula result and survey result weights of 0.3 and 0.7 respectively. For example, the following formula 5 is used:

[0146] Bicycle trip volume 2 = Bicycle trip volume 1*(1+0.3*a%+0.7*b%);

[0147] It should be noted that the above numerical values ​​3, 10, 0.3, and 0.7 are merely examples, and the embodiment of the present invention does not specifically limit how to set the preset error interval and the assigned weight.

[0148] 204. Calculate the fourth travel volume corresponding to the walking mode by using the second preset calculation method.

[0149] In the embodiment of the present invention, in order to calculate the walking volume, the second preset calculation method mainly integrates two parts: calculating the walking volume by formula and verifying the calculation result of the formula by using the survey feedback data.

[0150] The specific implementation steps for the formula to calculate the walking volume can be as follows:

[0151] Monitoring points are selected on different types of roads, including expressways, main roads, secondary roads, and branch roads. Point selections include residential areas, commercial streets, office buildings, supermarkets, parks, etc. Two working days are selected each month to monitor the pedestrian flow data at the monitoring points throughout the day.

[0152] The specific implementation steps for using survey feedback data to verify the formula calculation results can be as follows:

[0153] First, in the survey, since the survey is conducted in consecutive years, the change values ​​of consecutive years can be compared, and the corresponding walking trip volume within the preset time range and geographical range can be received through the survey feedback; the corresponding historical walking trip volume within the preset time range and geographical range can be obtained. According to the walking trip volume and historical walking trip volume obtained through the survey, the year-on-year change rate is calculated and marked as the third change rate value.

[0154] It should be noted that the third change rate value is equivalent to being calculated using known data (walking travel volume and historical walking travel volume) obtained by a survey method.

[0155] Secondly, according to the calculated walking mode corresponding travel volume and historical walking travel volume, the year-on-year change rate is calculated and marked as the fourth change rate value. It should be noted that the calculated walking mode corresponding travel volume is obtained by the above part (i.e., the formula for calculating walking travel volume).

[0156] Finally, if it is determined that the error between the third change rate value and the fourth change rate value falls within the preset error interval, weights are assigned to the third change rate value and the fourth change rate value respectively; the travel volume corresponding to the walking mode is recalculated based on the calculated travel volume corresponding to the walking mode, the weight corresponding to the third change rate value, and the weight corresponding to the fourth change rate value.

[0157] For the convenience of concise and clear statement, in order to explain this step concisely and clearly, the third change rate value is marked as a%, and the fourth change rate value is marked as b%. If 5≤|ab|, the formula is directly used to calculate the result b%. If |ab|≥15, it is considered that the formula parameters or the survey results have too large errors and need to be recalculated. If 5<|ab|<15, the result is corrected, and the weights of the formula result and the survey result are 0.2 and 0.8 respectively, and c=0.2*a+0.8*b is calculated. For example, the following formula 6 is used:

[0158] Walking trip volume = historical walking trip volume × (1 + c%);

[0159] It should be noted that the above numerical values ​​of 5, 15, 0.2, and 0.8 are merely examples, and the embodiment of the present invention does not specifically limit how to set the preset error interval and the assigned weight.

[0160] 205. Utilize the third preset calculation method to calculate the total travel volume corresponding to the traffic travel structure.

[0161] In an embodiment of the present invention, the third preset calculation method adopted is mainly: firstly, a first total travel volume interval is obtained by using traffic monitoring data, and then a second total travel volume interval obtained by combining the survey method is verified, and finally the total travel volume corresponding to the traffic travel structure is calculated.

[0162] In this step 205, first, the specific implementation steps for obtaining a total travel volume interval using traffic monitoring data can be as follows: using the mobile phone signaling data obtained within a preset time range and geographical range, the total travel volume interval corresponding to the traffic travel structure is calculated and marked as the first total travel volume interval.

[0163] Among them, mobile phone signaling data refers to: with the popularization of informatization and big data technology, technical means such as obtaining residents' travel conditions through mobile phone signaling data have begun to appear. In the wireless communication system, signaling is a control signal required to ensure normal communication in order to make the entire network work in an orderly manner in addition to transmitting user information. The main processes triggered by signaling include mobile phone shutdown, calling, being called, sending and receiving text messages, service requests, location area switching, etc.

[0164] In an embodiment of the present invention, the main method of using mobile phone signaling data to obtain traffic travel behavior is: based on the location area switching record of the mobile terminal (mobile phone) between mobile networks, a personal travel location-time series is formed, and a travel record of the starting point-stop point-end point is formed through time difference and simulated path distance difference, and a preliminary judgment of traffic travel is made through large-scale statistics and classification.

[0165] As described above, for the embodiments of the present invention, the user's travel behavior is mainly analyzed with the help of mobile phone signaling data. The travel behavior includes target green travel modes and target non-green travel modes, and then the total travel volume of the travel behaviors occurring within a preset time range and geographical range is obtained through statistics.

[0166] In this step 205, secondly, specific implementation steps of the second total travel volume interval obtained by combining the survey method may include the following:

[0167] In the first step, the travel volume corresponding to the target green travel mode and the travel volume corresponding to the target non-green travel mode are used to calculate the sum of the two travel volumes.

[0168] In this step, the target green travel modes are: rail transit, ground public transportation, bicycle, and walking; the target non-green travel modes are: taxi and car.

[0169] For the target green travel mode, the first travel volume, the second travel volume, the third travel volume and the fourth travel volume obtained in steps 202-204 can be combined and summed. The taxi mode and the car mode are marked as the fifth travel volume and the sixth travel volume respectively. The acquisition method is specifically stated as follows:

[0170] First, the acquired traffic operation monitoring data is used to calculate the fifth travel volume corresponding to the taxi mode. Specifically, the travel volume can be calculated based on the industry statistics of taxi trips using the following formula 7:

[0171] Taxi trip volume = taxi trips * load factor;

[0172] The load rate is a pre-configured parameter, and the threshold of the parameter is [1.3, 1.5].

[0173] Secondly, the acquired traffic operation monitoring data is used to calculate the sixth travel volume corresponding to the car mode, specifically, including the following:

[0174] The existing vehicle status tracking device installed on the car can track the vehicle's driving location, ignition status, time, mileage and other information. For example, the device currently covers about 30,000 cars in Beijing. The sample data is used to determine the trend of car travel volume, and formula 8 is used to calculate the car travel volume:

[0175] Car travel volume = last year's travel volume × change in ownership × change in vehicle use rate × change in travel frequency × change in passenger load rate;

[0176] Among them, the change range of ownership comes from the statistical data of car ownership, and the change range of vehicle utilization rate, the change range of travel times and the change range of occupancy rate all come from sample data.

[0177] Three parameters, vehicle dispatch rate, number of trips and occupancy rate are pre-configured, and their parameter reference ranges are [50%, 65%], [2.6, 3.7], and [1.1, 1.35] respectively. This threshold range is applicable to the central urban areas of megacities and large cities.

[0178] As described above, in the embodiment of the present invention, the travel volume corresponding to the target green travel mode and the travel volume corresponding to the target non-green travel mode are used to calculate the sum of the two travel volumes.

[0179] The second step is to receive the travel ratio intervals corresponding to other travel modes fed back from the survey, and calculate the two travel volumes and corresponding travel ratio intervals according to the travel ratio intervals corresponding to other travel modes, and calculate the total travel interval corresponding to the traffic travel structure according to the two travel volumes and (target green travel volume and target non-green travel volume) and the two travel volumes and corresponding travel ratio intervals, which is marked as the second total travel volume interval. The specific implementation steps are stated as follows:

[0180] First, receive the travel proportion intervals corresponding to other travel modes fed back from the survey. Since the transportation travel structure includes: target green travel mode, target non-green travel mode and other travel modes, it is possible to subtract "the travel proportion interval corresponding to other travel modes" from 1, and accordingly, calculate the travel proportion intervals corresponding to these two travel modes (i.e., the target green travel mode and the target non-green travel mode).

[0181] Then, further, the total travel interval corresponding to the traffic travel structure is calculated by dividing the "sum of the two travel volumes" by the "travel proportion interval corresponding to the two travel modes", which is marked as the second total travel volume interval.

[0182] The third step is to obtain an interval intersection according to the first total travel volume interval and the second total travel volume interval, and select an intermediate value from the interval intersection as the target total travel volume. The specific implementation steps may include: obtaining an interval intersection according to the first total travel volume interval and the second total travel volume interval, and selecting an intermediate value from the interval intersection as the final target total travel volume.

[0183] It should be noted that, in the embodiment of the present invention, further reverse verification operation can be performed using the target total travel volume and the six travel modes corresponding to the target green travel mode and the target non-green travel mode. The specific implementation method is as follows:

[0184] The target total travel volume is subtracted from the sum of the travel volumes of the six travel modes to obtain the travel volume of other travel modes. Then the travel volume of other travel modes is divided by the target total travel volume to obtain the target proportion of other travel modes. Then, it is verified whether the target proportion of other travel modes falls into the previously received "travel proportion range corresponding to other travel modes based on survey feedback". If so, the verification operation is successful, and it is confirmed that the target total travel volume is accurate.

[0185] But if not, then readjust the "travel ratio interval corresponding to other travel modes fed back by the survey", re-execute the "second step" in step 205, and then re-output a second total travel volume interval, recalculate a target total travel volume, and then continue the above verification operation to see whether the proportion of other travel modes falls into the "travel ratio interval corresponding to other travel modes fed back by the survey" adjusted this time. If so, the verification operation passes, and confirms that the target total travel volume of this round is accurate. But if not, then repeat the operation of obtaining the target total travel volume until the verification operation passes, and then the final target total travel volume can be confirmed.

[0186] 206. Calculate the ratio between the travel volume of the target green travel mode and the total travel volume based on the first travel volume, the second travel volume, the third travel volume, the fourth travel volume and the total travel volume, and mark it as the first indicator value.

[0187] In the embodiment of the present invention, Formula 9 is mainly used to calculate the target green travel ratio index:

[0188] Green travel ratio = (rail transit travel volume + ground bus travel volume + walking travel volume + bicycle travel volume) / total travel volume.

[0189] 207. The ratio between the travel volume corresponding to the target green travel mode obtained by receiving feedback from the preset survey method and the total travel volume of the traffic travel structure obtained by the survey is marked as the second indicator value.

[0190] 208. If the error between the first index value and the second index value is less than a preset threshold, the first index value is used as a green travel ratio index corresponding to the target green travel mode.

[0191] In an embodiment of the present invention, for the statements of steps 206-208, refer to steps 106-108, which will not be repeated here. However, it should be noted here that if the error between the first index value and the second index value is greater than the preset threshold, the target green travel proportion index is recalculated. Specifically, for example, in an embodiment of the present invention, the configured correlation coefficients or parameters are applied when calculating the travel volume of different travel modes. Therefore, in the process of recalculating the target green travel proportion index, these correlation coefficients or parameters should also be reasonably modified to obtain a more accurate travel volume for each travel mode, which is then used to calculate the final target green travel proportion index.

[0192] For example, in the process of calculating the target green travel ratio index, the following correlation coefficients or parameters are involved, as shown in Table 1:

[0193]

[0194] 209. Verify the travel volume corresponding to the travel mode in the traffic travel structure, and determine whether the travel volume needs to be corrected based on the verification result.

[0195] In the embodiment of the present invention, the verification operation is mainly performed by receiving data feedback provided by relevant survey methods. Specifically, it can be to verify the numerical change trend of the travel volume of each travel mode, and then determine whether it is necessary to correct the travel volume in the above steps 201-208, so as to further calibrate the final calculated target green travel ratio indicator.

[0196] Specifically, the indicator accuracy verification may include the following:

[0197] 1. Traffic index verifies the trend of changes in motorized travel volume

[0198] The traffic index reflects the traffic congestion situation on urban roads, and its value is consistent with the changing trend of motorized travel volume.

[0199] 2. Verify the trend of travel volume changes by mode by checking the line survey data

[0200] The verification line survey data can obtain the traffic flow data of various modes on the main roads in the city. The changing trend of the traffic flow data of various modes should be consistent with the changing trend of the travel volume of each mode.

[0201] 3. Checkpoint data verifies the trend of car travel volume changes

[0202] The high-definition camera system can take images of passing cars, identify vehicle license plates, and collect vehicle information data. The camera data can be used to obtain data on passenger cars on the road and compare it with the trend of car travel volume.

[0203] In the embodiment of the present invention, in combination with steps 201-209, the embodiment of the present invention also provides a simplified data calculation process diagram for green travel ratio index measurement, such as Figure 3 , which is convenient to help clearly demonstrate the above steps.

[0204] Furthermore, as a response to the above Figure 1 , Figure 2 The embodiment of the present invention provides a device for calculating the green travel ratio index. The device embodiment corresponds to the aforementioned method embodiment. For ease of reading, the device embodiment will not repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can correspond to all the contents of the aforementioned method embodiment. The device is used to automatically calculate the green travel ratio index, specifically as follows Figure 4 As shown, the device comprises:

[0205] A construction unit 31 is used to construct a traffic travel structure, wherein the traffic travel structure includes: a target green travel mode, a target non-green travel mode, and other travel modes, wherein the target green travel mode includes a rail transit mode, a ground bus mode, a bicycle mode, and a walking mode;

[0206] A calculation unit 32, configured to calculate a first travel volume corresponding to the rail transit mode and a second travel volume corresponding to the ground public transportation mode by using the acquired traffic operation monitoring data;

[0207] A calculation unit 33, configured to calculate a third travel volume corresponding to the bicycle mode by using a first preset calculation method;

[0208] The calculation unit 33 is further used to calculate a fourth travel volume corresponding to the walking mode using a second preset calculation method;

[0209] The calculation unit 33 is further used to calculate the total travel volume corresponding to the traffic travel structure using a third preset calculation method;

[0210] a calculation unit 34, configured to calculate a ratio between the travel volume of the target green travel mode and the total travel volume according to the first travel volume, the second travel volume, the third travel volume, the fourth travel volume and the total travel volume, and mark the ratio as a first indicator value;

[0211] A receiving unit 35 is used to receive the ratio between the travel volume corresponding to the target green travel mode obtained by the preset survey method and the total travel volume of the traffic travel structure obtained by the survey, and mark it as a second indicator value;

[0212] The determination unit 36 ​​is configured to use the first index value as the green travel proportion index corresponding to the target green travel mode if the error between the first index value and the second index value is less than a preset threshold.

[0213] Further, if Figure 5 As shown, the accounting unit 32 includes:

[0214] The calculation module 321 is used to calculate the travel volume corresponding to the rail transit mode within a preset time range and geographical range by using the AFC card entry data of the rail transit.

[0215] Further, if Figure 4 As shown, the accounting unit 32 includes:

[0216] Configuration module 322, used to configure ground bus transfer coefficients and rail transit ground bus transfer coefficients;

[0217] A statistics module 323 is used to count the AFC card riding data of ground public transportation within the preset time range and geographical range as the ground public transportation passenger volume;

[0218] The calculation module 321 is used to calculate the connecting rail transit passenger volume by multiplying the rail transit ground bus transfer coefficient with the first travel volume;

[0219] The calculation module 321 is used to calculate the travel volume corresponding to the ground public transportation mode according to the difference between the ground public transportation passenger volume and the connecting rail transportation passenger volume, divided by the ground public transportation transfer coefficient.

[0220] Further, if Figure 5 As shown, the measuring unit 33 includes:

[0221] The first calculation module 3301 is used to calculate the travel volume corresponding to the bicycle mode by using the shared one-way riding data monitored within the preset time range and geographical range;

[0222] The receiving module 3302 is used to receive the bicycle travel volume corresponding to the preset time range and geographical range according to the survey feedback;

[0223] An acquisition module 3303 is used to acquire the historical bicycle travel volume corresponding to the preset time range and geographical range;

[0224] The second calculation module 3304 is used to calculate the year-on-year change rate according to the bicycle travel volume obtained through the survey and the historical bicycle travel volume, and mark it as a first change rate value;

[0225] The second calculation module 3304 is used to calculate the year-on-year change rate according to the calculated travel volume corresponding to the bicycle mode and the historical bicycle travel volume, and mark it as a second change rate value;

[0226] an allocating module 3305, configured to allocate weights to the first change rate value and the second change rate value respectively if it is determined that the error between the first change rate value and the second change rate value falls within a preset error interval;

[0227] The correction module 3306 is used to re-correct the travel volume corresponding to the bicycle travel mode according to the calculated travel volume corresponding to the bicycle travel mode, the weight corresponding to the first change rate value, and the weight corresponding to the second change rate value.

[0228] Further, if Figure 5 As shown, the target non-green travel mode includes a taxi mode and a car mode, and the device further includes:

[0229] The calculation unit 32 is also used to calculate the fifth travel volume corresponding to the taxi mode and the sixth travel volume corresponding to the car mode using the acquired traffic operation monitoring data before using the third preset calculation method to calculate the total travel volume corresponding to the traffic travel structure.

[0230] Further, if Figure 4 As shown, the measuring unit 33 also includes:

[0231] The calculation module 3307 is used to calculate the total travel volume interval corresponding to the traffic travel structure by using the mobile phone signaling data obtained within the preset time range and geographical range, and mark it as the first total travel volume interval;

[0232] The third calculation module 3308 is further used to calculate the sum of two travel volumes by using the travel volume corresponding to the target green travel mode and the travel volume corresponding to the target non-green travel mode;

[0233] The receiving module 3302 is further used to receive travel ratio intervals corresponding to other travel modes fed back from the survey;

[0234] The calculation module 3307 is further used to calculate the two travel volumes and corresponding travel proportion intervals according to the travel proportion intervals corresponding to the other travel modes;

[0235] A third calculation module 3308 is used to calculate a total travel interval corresponding to the traffic travel structure according to the two travel volumes and the travel proportion intervals corresponding to the two travel volumes and, which is marked as a second total travel volume interval;

[0236] An intersection module 3309, configured to obtain an interval intersection according to the first total travel volume interval and the second total travel volume interval;

[0237] The determination module 3310 is used to select a middle value from the intersection of the intervals as the target total travel volume.

[0238] Further, if Figure 5 As shown, the device also includes:

[0239] A verification unit 37, used to verify the travel volume corresponding to the travel mode in the traffic travel structure;

[0240] The correction unit 38 is used to determine whether the travel volume needs to be corrected according to the verification result.

[0241] In summary, the embodiment of the present invention provides a method and device for calculating the green travel ratio index. The embodiment of the present invention first constructs a traffic travel structure including a target green travel mode, a target non-green travel mode and other travel modes, and then, under the traffic travel structure, uses the acquired traffic operation monitoring data and the preset calculation method to calculate the rail transit mode travel volume and the ground bus mode travel volume, as well as the bicycle mode travel volume, the walking mode travel volume and the total travel volume of the traffic travel structure, thereby calculating the ratio between the target green travel mode travel volume and the total travel volume, and then uses the green travel ratio feedback received by the preset survey method for verification, thereby ensuring that the green travel ratio index corresponding to the final target green travel mode calculated is accurate. Compared with the prior art, the technical problems of high cost, low efficiency and inaccuracy of the two existing methods are solved. The embodiment of the present invention integrates the traffic operation monitoring data, the preset calculation method and the multi-source data obtained by the preset survey method to realize automatic calculation of the green travel ratio index, which is simple and efficient to operate and also improves the accuracy of the calculation.

[0242] The green travel ratio index calculation device includes a processor and a memory. The above-mentioned construction unit, accounting unit, measurement unit, calculation unit, receiving unit and determination unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0243] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters can be adjusted to integrate traffic operation monitoring data, preset calculation methods, and multi-source data obtained by receiving preset survey methods to achieve automatic calculation of green travel ratio indicators. The operation is simple and efficient, and the accuracy of the calculation is also improved.

[0244] An embodiment of the present invention provides a storage medium on which a program is stored. When the program is executed by a processor, the green travel ratio index calculation method is implemented.

[0245] An embodiment of the present invention provides a processor, which is used to run a program, wherein the green travel proportion index calculation method is executed when the program is running.

[0246] An embodiment of the present invention provides an electronic device, which includes at least one processor, and at least one memory and a bus connected to the processor; wherein the processor and the memory communicate with each other through the bus; the processor is used to call program instructions in the memory to execute the above-mentioned green travel proportion index calculation method.

[0247] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0248] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing the following method steps:

[0249] A method for calculating a green travel ratio index, the method comprising: constructing a traffic travel structure, the traffic travel structure comprising: a target green travel mode, a target non-green travel mode and other travel modes, the target green travel mode comprising a rail transit mode, a ground public transportation mode, a bicycle mode and a walking mode; using the acquired traffic operation monitoring data, calculating a first travel volume corresponding to the rail transit mode and a second travel volume corresponding to the ground public transportation mode; using a first preset calculation method, calculating a third travel volume corresponding to the bicycle mode; using a second preset calculation method, calculating a fourth travel volume corresponding to the walking mode; using a third preset calculation method, calculating a fourth travel volume corresponding to the walking mode; using a third preset calculation method, calculating a fifth travel volume corresponding to the walking mode. A calculation method is used to calculate the total travel volume corresponding to the traffic travel structure; according to the first travel volume, the second travel volume, the third travel volume, the fourth travel volume and the total travel volume, the ratio between the travel volume of the target green travel mode and the total travel volume is calculated, and marked as a first indicator value; the ratio between the travel volume corresponding to the target green travel mode obtained by the survey and the total travel volume of the traffic travel structure obtained by the survey is received as a second indicator value; if the error between the first indicator value and the second indicator value is less than a preset threshold value, the first indicator value is used as the green travel ratio indicator corresponding to the target green travel mode.

[0250] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0251] In a typical configuration, the device includes one or more processors (CPU), memory and bus. The device may also include input / output interface, network interface and the like.

[0252] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.

[0253] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0254] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0255] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0256] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for calculating the green travel ratio index, characterized in that: The method comprises: Constructing a transportation travel structure, wherein the transportation travel structure includes: a target green travel mode, a target non-green travel mode, and other travel modes, wherein the target green travel mode includes a rail transit mode, a ground bus mode, a bicycle mode, and a walking mode; Using the acquired traffic operation monitoring data, calculating a first travel volume corresponding to the rail transit mode and a second travel volume corresponding to the ground public transportation mode; Calculate the third travel volume corresponding to the bicycle mode by using the first preset calculation method; Using a second preset calculation method, calculating a fourth travel volume corresponding to the walking mode; Utilize the third preset calculation method to calculate the total travel volume corresponding to the traffic travel structure, including: utilize the mobile phone signaling data acquired within the preset time range and geographical range to estimate the total travel volume interval corresponding to the traffic travel structure, marked as the first total travel volume interval; utilize the travel volume corresponding to the target green travel mode and the travel volume corresponding to the target non-green travel mode to calculate the sum of the two travel volumes; receive the travel proportion interval corresponding to other travel modes fed back from the survey; calculate the travel proportion interval corresponding to the sum of the two travel volumes according to the travel proportion interval corresponding to the other travel modes; calculate the total travel interval corresponding to the traffic travel structure according to the sum of the two travel volumes and the travel proportion interval corresponding to the two travel volumes, marked as the second total travel volume interval; obtain the interval intersection according to the first total travel volume interval and the second total travel volume interval; select the middle value from the interval intersection as the target total travel volume; According to the first travel volume, the second travel volume, the third travel volume, the fourth travel volume and the total travel volume, a ratio between the travel volume of the target green travel mode and the total travel volume is calculated and marked as a first indicator value; Receive the ratio between the travel volume obtained by the investigation of the target green travel mode and the total travel volume of the traffic travel structure obtained by the investigation, which is marked as a second indicator value; If the error between the first index value and the second index value is less than a preset threshold, the first index value is used as the green travel proportion index corresponding to the target green travel mode.

2. The method according to claim 1, characterized in that Using the acquired traffic operation monitoring data, calculating the first travel volume corresponding to the rail transit mode, including: The AFC card entry data of rail transit is used to calculate the travel volume corresponding to the rail transit mode within the preset time range and geographical range.

3. The method according to claim 1, characterized in that Using the acquired traffic operation monitoring data, calculating the second travel volume corresponding to the ground public transportation mode, including: Configure ground bus transfer coefficients and rail transit ground bus transfer coefficients; Counting the AFC card riding data of ground public transportation within the preset time range and geographical range as the ground public transportation passenger volume; The connecting rail transit passenger volume is calculated by multiplying the rail transit ground bus transfer coefficient by the first travel volume; The travel volume corresponding to the ground public transportation mode is calculated based on the difference between the ground public transportation passenger volume and the connecting rail transit passenger volume, divided by the ground public transportation transfer coefficient.

4. The method according to claim 1, characterized in that: The calculating of the third travel volume corresponding to the bicycle mode by using the first preset calculation method includes: Calculate the travel volume corresponding to the bicycle mode by using the shared one-way riding data monitored within the preset time range and geographical range; Receive the corresponding bicycle travel volume within the preset time range and geographical range according to the survey feedback; Obtaining the historical bicycle travel volume corresponding to the preset time range and geographical range; Calculate a year-on-year change rate based on the bicycle travel volume obtained through the survey and the historical bicycle travel volume, and mark it as a first change rate value; Calculate a year-on-year change rate based on the calculated travel volume corresponding to the bicycle mode and the historical bicycle travel volume, and mark it as a second change rate value; If it is determined that the error between the first change rate value and the second change rate value falls within a preset error interval, weights are assigned to the first change rate value and the second change rate value respectively; The travel volume corresponding to the bicycle travel mode is recalculated based on the calculated travel volume corresponding to the bicycle travel mode, the weight corresponding to the first change rate value, and the weight corresponding to the second change rate value.

5. The method according to claim 1, characterized in that The target non-green travel mode includes a taxi mode and a car mode. Before using the third preset calculation method to calculate the total travel volume corresponding to the traffic travel structure, the method further includes: The fifth travel volume corresponding to the taxi mode and the sixth travel volume corresponding to the car mode are calculated using the acquired traffic operation monitoring data.

6. The method according to claim 1, characterized in that The method further comprises: Verify the travel volume corresponding to the travel modes in the transportation travel structure; Based on the verification results, determine whether the travel volume needs to be corrected.

7. A green travel ratio index calculation device, characterized in that: The device comprises: A construction unit is used to construct a transportation travel structure, wherein the transportation travel structure includes: a target green travel mode, a target non-green travel mode, and other travel modes, wherein the target green travel mode includes a rail transit mode, a ground bus mode, a bicycle mode, and a walking mode; A calculation unit, used to calculate a first travel volume corresponding to the rail transit mode and a second travel volume corresponding to the ground public transportation mode by using the acquired traffic operation monitoring data; A calculation unit, used to calculate a third travel volume corresponding to the bicycle mode by using a first preset calculation method; The calculation unit is further used to calculate a fourth travel volume corresponding to the walking mode using a second preset calculation method; The calculation unit is further used to calculate the total travel volume corresponding to the traffic travel structure using a third preset calculation method; The measuring unit further comprises: A calculation module, used to calculate the total travel volume interval corresponding to the traffic travel structure by using the mobile phone signaling data obtained within a preset time range and geographical range, marked as the first total travel volume interval; A third calculation module is used to calculate the sum of two travel volumes by using the travel volume corresponding to the target green travel mode and the travel volume corresponding to the target non-green travel mode; A receiving module, used for receiving travel proportion intervals corresponding to other travel modes fed back from the survey; The calculation module is further used to calculate the two travel volumes and corresponding travel proportion intervals according to the travel proportion intervals corresponding to the other travel modes; The third calculation module is further used to calculate the total travel interval corresponding to the traffic travel structure according to the two travel volumes and the travel proportion intervals corresponding to the two travel volumes and, which is marked as the second total travel volume interval; An intersection module, configured to obtain an interval intersection according to the first total travel volume interval and the second total travel volume interval; A determination module, used for selecting a middle value from the intersection of the intervals as a target total travel volume; a calculation unit, configured to calculate a ratio between the travel volume of the target green travel mode and the total travel volume according to the first travel volume, the second travel volume, the third travel volume, the fourth travel volume and the total travel volume, and mark the ratio as a first indicator value; A receiving unit, configured to receive a ratio between the travel volume corresponding to the target green travel mode obtained through a survey and the total travel volume of the traffic travel structure obtained through a survey, and mark the ratio as a second indicator value; A determination unit is configured to use the first index value as a green travel proportion index corresponding to the target green travel mode if an error between the first index value and the second index value is less than a preset threshold.

8. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the green travel proportion index calculation method according to any one of claims 1 to 6.

9. An electronic device, characterized in that: The device includes at least one processor, and at least one memory and a bus connected to the processor; Wherein, the processor and the memory communicate with each other through the bus; The processor is used to call the program instructions in the memory to execute the green travel proportion index calculation method according to any one of claims 1-6.

Images