Travel Route Analysis Method, Device, Storage Medium and Device

Abstract

The present invention discloses a travel route analysis method, device, storage medium and apparatus. The method includes: obtaining an initial operation route, adjusting the initial operation route according to passenger characteristic information to obtain a target operation route, analyzing the target operation route through a preset route analysis model to obtain operation data of the target operation route, and generating a travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route; since the present invention obtains a target operation route by adjusting the initial operation route, obtains the operation data of the target operation route from the preset route analysis model and compares it with the operation data of the initial operation route, and judges the effect of the adjustment of the initial operation route according to the comparison result, there is no need to actually trial the operation route to judge whether the adjusted route is reasonable, thus saving a large amount of costs.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and particularly to a travel route analysis method, device, storage medium and apparatus. Background Art

[0002] In the process of urban development, public transportation has always played a crucial role. Reasonable route planning is the primary guarantee for the convenience of residents' travel.

[0003] Currently, the common practice for bus routes is to let the routes be in trial operation for a period of time, and judge whether the route planning of the trial operation is reasonable according to the revenue data during this trial operation period. However, there are high trial-and-error costs in letting the routes be in trial operation for a period of time, the specific effects cannot be seen in the short term, and there may be unreasonable route planning during the trial operation period, resulting in a decrease in passenger satisfaction.

[0004] The above content is only used to assist in understanding the technical solution of the present invention, and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main purpose of the present invention is to provide a travel route analysis method, device, storage medium and apparatus, aiming to solve the technical problem of how to analyze whether the planned route is reasonable.

[0006] To achieve the above purpose, the present invention provides a travel route analysis method, and the travel route analysis method includes the following steps:

[0007] Obtain an initial operation route, and adjust the initial operation route according to passenger characteristic information to obtain a target operation route;

[0008] Analyze the target operation route through a preset route analysis model to obtain the operation data of the target operation route;

[0009] Generate a travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route.

[0010] Further, the step of analyzing the target operation route through a preset route analysis model to obtain the operation data of the target operation route includes:

[0011] Divert the passenger flow according to the weight value of the target operation route;

[0012] Obtain the operation data of the unadjusted operation route, and generate a preset route analysis model according to the operation data of the unadjusted operation route, and the unadjusted operation route is the same as the target operation route;

[0013] Adjust the schedule of the target operation route according to the result of the passenger flow diversion;

[0014] Run the adjusted schedule and obtain the operation data of the target operation route from the preset route analysis model.

[0015] Further, the step of diverting the passenger flow according to the weight of the target operation route includes:

[0016] Determine the weight of the target operation route according to the stations and transfer times of the target operation route;

[0017] Divert the passenger flow according to the weight of the target operation route, the passenger volume of the unadjusted operation route, and the passenger flow sharing formula.

[0018] Among them, the passenger flow sharing formula is:

[0019]

[0020] In the formula, represents the passenger flow diverted to the target operation route, Q a and Q b represent the weights of two routes that can reach the target operation route, and N AB represents the passenger volume of the unadjusted operation route.

[0021] Further, the step of obtaining the operation data of the unadjusted operation route and generating a preset route analysis model according to the operation data includes:

[0022] Obtain the trip duration, arrival running speed, departure running speed, and station information of the unadjusted operation route at different time periods, and determine the arrival information and departure information according to the trip duration, arrival running speed, departure running speed, and station information at different time periods;

[0023] Generate a preset route analysis model according to the arrival information and the departure information.

[0024] Further, the step of adjusting the schedule of the target operation route according to the result of passenger flow diversion includes:

[0025] Determine the full load volume when running on the target operation route according to the result of passenger flow diversion;

[0026] When multiple shifts do not reach the full load volume, adjust the schedule of the target operation route.

[0027] Further, the step of obtaining the initial operation route and adjusting the initial operation route according to the passenger characteristic information to obtain the target operation route includes:

[0028] Obtain the operation data of the initial operation route, and determine whether to adjust the initial operation route according to the operation data of the initial operation route;

[0029] When it is determined to adjust the initial operation route, adjust the initial operation route according to the passenger characteristic information.

[0030] Furthermore, the step of generating the travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route includes:

[0031] Compare the operation data of the target operation route with the operation data of the initial operation route;

[0032] Generate a travel route analysis result according to the comparison result.

[0033] In addition, to achieve the above object, the present invention also proposes a travel route analysis device including: a memory, a processor, and a travel route analysis program stored on the memory and executable on the processor. When the travel route analysis program is executed by the processor, the steps of the travel route analysis method as described above are implemented.

[0034] In addition, to achieve the above object, the present invention also proposes a storage medium on which a travel route analysis program is stored. When the travel route analysis program is executed by a processor, the steps of the travel route analysis method as described above are implemented.

[0035] In addition, to achieve the above object, the present invention also proposes a travel route analysis device, the travel route analysis device includes: a route adjustment module, a data acquisition module, and a result analysis module;

[0036] The route adjustment module is used to obtain the initial operation route and adjust the initial operation route according to the passenger characteristic information to obtain the target operation route;

[0037] The data acquisition module is used to analyze the target operation route through a preset route analysis model to obtain the operation data of the target operation route;

[0038] The result analysis module is used to generate a travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route.

[0039] The present invention obtains an initial operation route, adjusts the initial operation route according to passenger characteristic information to obtain a target operation route, analyzes the target operation route through a preset route analysis model to obtain operation data of the target operation route, and generates a travel route analysis result based on the operation data of the target operation route and the operation data of the initial operation route; since the present invention obtains the target operation route by adjusting the initial operation route, obtains the operation data of the target operation route from the preset route analysis model and compares it with the operation data of the initial operation route, and judges the effect of the adjustment of the initial operation route according to the comparison result, without actually trying the operation route to judge whether the adjusted route is reasonable, thus saving a large amount of costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a schematic structural diagram of a travel route analysis device in the hardware operating environment related to the embodiment solution of the present invention;

[0041] Figure 2 is a schematic flowchart of the first embodiment of the travel route analysis method of the present invention;

[0042] Figure 3 is a schematic flowchart of the second embodiment of the travel route analysis method of the present invention;

[0043] Figure 4 is a schematic flowchart of the third embodiment of the travel route analysis method of the present invention;

[0044] Figure 5 is a structural block diagram of the first embodiment of the travel route analysis device of the present invention.

[0045] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0047] Refer to Figure 1 , Figure 1 is a schematic structural diagram of a travel route analysis device in the hardware operating environment related to the embodiment solution of the present invention.

[0048] Such as Figure 1As shown in the figure, the travel route analysis device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to implement the connection and communication between these components. The user interface 1003 may include a display screen (Display). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. For the wired interface of the user interface 1003, it may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed Random Access Memory (RAM), or a stable memory (Non-volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0049] Those skilled in the art can understand that Figure 1 the structure shown in does not constitute a limitation on the travel route analysis device, and it may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0050] As Figure 1 shown, the memory 1005, which is regarded as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a travel route analysis program.

[0051] In Figure 1 the travel route analysis device shown, the network interface 1004 is mainly used to connect to the background server and perform data communication with the background server; the user interface 1003 is mainly used to connect to the user device; the travel route analysis device calls the travel route analysis program stored in the memory 1005 through the processor 1001 and executes the travel route analysis method provided by the embodiments of the present invention.

[0052] Based on the above hardware structure, an embodiment of the travel route analysis method of the present invention is proposed.

[0053] Referring to Figure 2 , Figure 2 which is a schematic flowchart of the first embodiment of the travel route analysis method of the present invention, the first embodiment of the travel route analysis method of the present invention is proposed.

[0054] Step S10: Obtain an initial operation route, and adjust the initial operation route according to the passenger characteristic information to obtain a target operation route.

[0055] It should be noted that the execution subject of this embodiment can be a computer software device with data processing, network communication, and program running functions, such as a computer, etc., or other electronic devices that can achieve the same or similar functions. This embodiment does not limit this.

[0056] It should be understood that in the process of urban development, public transportation has always played a crucial role. Reasonable route planning is the primary guarantee for the convenience of residents' travel. How to reasonably plan the routes and how to evaluate the effect of route planning are the key points of network optimization. For traditional network planning evaluation, only after the route is trial-operated for a period of time can the effect be seen, and the cost of this method of trial and error is too high. Not only can the specific effect not be seen in the short term, but also the passenger travel satisfaction is likely to decrease due to unreasonable route planning during the trial operation period.

[0057] To overcome the above defects, in this embodiment, the target operation route is obtained by adjusting the initial operation route, the operation data of the target operation route is obtained through a preset route analysis model, the operation data of the target operation route is compared with the operation data of the initial operation route, and it is judged whether the adjustment of the initial operation route is reasonable according to the comparison result. Thus, it is possible to know whether the route planning is reasonable without actually operating the route. Therefore, a large amount of cost does not need to be invested in the early stage and the effect can be seen in the short term.

[0058] It can be understood that the initial operation route is the route that needs to be planned, which can be multiple routes or a single route.

[0059] It should be noted that the passenger characteristic information includes the number of passengers, the boarding and alighting stations of passengers, and the routes selected by passengers, etc. This embodiment does not limit this. Through the passenger characteristic information, it can be judged whether this route needs to be adjusted. For example, if the passenger flow on this route is very small, this route can be cancelled, a route close to this route can be merged with this route, or this route can be redesigned.

[0060] It should be noted that not only the passenger characteristic information needs to be obtained, but also the basic data and dispatching data on this route need to be retrieved. Combining the passenger characteristic information with the basic data and dispatching data on this route to judge whether this route needs to be adjusted together can make the data more accurate so as to better judge whether to make an adjustment.

[0061] It can be understood that the target operation route is the route after adjusting the initial route.

[0062] It should be understood that the adjustment of the initial operation route can be to redesign a route, or to adjust the stations on the initial operation route, or to merge or separate multiple routes. This embodiment does not limit this.

[0063] Further, in order to more accurately determine whether it is necessary to adjust the initial operation route, step S10 of this embodiment includes:

[0064] Obtain the operation data of the initial operation route, and determine whether to adjust the initial operation route according to the operation data of the initial operation route;

[0065] When it is determined to adjust the initial operation route, adjust the initial operation route according to the passenger characteristic information.

[0066] It can be understood that by analyzing the operation data of the initial operation route, it is judged whether to make an adjustment according to the revenue data.

[0067] It should be understood that since the passengers taking the bus are random and there are also seasons, for example, there are more passengers in summer and winter, so the operation data of the initial operation route should be as much as possible for analysis.

[0068] Step S20: Analyze the target operation route through a preset route analysis model to obtain the operation data of the target operation route.

[0069] It should be noted that the preset route analysis model is a time fence model, which can generate arrival information and departure information based on the station information, route, running speed and one-way duration of the target route, and then generate a time fence model through the arrival information and departure information. If the passenger's card swiping information is between the arrival time and the departure time, the time fence model can know the boarding station and the route taken by the passenger. However, sometimes due to a large number of passengers, passengers board the bus first and then swipe the card or scan the QR code. Therefore, there will be cases where the passenger's card swiping data is after the departure time, and the time fence model will extend the time between the arrival time and the departure time so as to correspond the passenger's card swiping data to the specific station and route.

[0070] It can be understood that the preset route analysis model analyzes the target operation route by analyzing the card swiping data on the target operation route.

[0071] It can be understood that the time fence model can correspond the passenger's card swiping data to a specific vehicle, so the number of passengers, total revenue, revenue per 100 kilometers, and revenue per vehicle on a certain bus can be obtained according to the card swiping data.

[0072] Step S30: Generate a travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route.

[0073] It should be noted that the operation data of the initial operation route already exists and can be obtained from the bus company. The operation data type of the initial operation route is the same as the operation data type of the target operation route.

[0074] It should be understood that the operating data of the target operating route are the number of passengers, total revenue, revenue per 100 kilometers, and revenue per vehicle.

[0075] In a specific implementation, the operation data of the target operation route is compared with the operation data of the initial operation route to obtain a comparison result.

[0076] Furthermore, in order to analyze the pros and cons of the target operation route, step S30 of this embodiment includes:

[0077] Comparing the operation data of the target operation route with the operation data of the initial operation route;

[0078] Generate travel route analysis results based on the comparison results.

[0079] It can be understood that by comparing the operating data of the adjusted target operating route with the operating data of the initial operating route, it can be very intuitive to know whether the adjustment of the initial operating route is reasonable.

[0080] It should be understood that the analysis result is whether the target operation route is reasonable and whether the revenue is considerable.

[0081] This embodiment obtains an initial operating route, adjusts the initial operating route according to passenger characteristic information, obtains a target operating route, analyzes the target operating route through a preset route analysis model, obtains operating data of the target operating route, and generates a travel route analysis result based on the operating data of the target operating route and the operating data of the initial operating route. Since the present invention obtains the target operating route by adjusting the initial operating route, obtains the operating data of the target operating route from the preset route analysis model and compares them with the operating data of the initial operating route, and judges the effect of the adjustment of the initial operating route based on the comparison result, there is no need to actually test the operating route to judge whether the adjusted route is reasonable, thereby saving a lot of cost.

[0082] Reference Figure 3 , Figure 3 This is a flow chart of the second embodiment of the travel route analysis method of the present invention. Figure 2 The first embodiment shown provides a second embodiment of the travel route analysis method of the present invention.

[0083] In the second embodiment, the step S20 includes:

[0084] Step S201: Divert passenger flow according to the weight of the target operating route;

[0085] It should be noted that according to the ranking of the weights of the target operating routes, for the same OD that appears, they are arranged in reverse order of weights. The smaller the weight, the greater the probability that passengers will choose to take the vehicle by this plan. And in order to reduce the computational complexity, for the same OD that appears, at most two reachable plans are selected for passenger flow diversion.

[0086] It should be noted that OD survey, that is, origin-destination survey, also known as OD traffic volume survey. OD traffic volume refers to the traffic volume between the origin and the destination. Usually, personal travel surveys and motor vehicle OD surveys are used to obtain OD traffic volume. This can be further divided into passenger flow OD survey and freight flow OD survey. The survey content of the former mainly includes the distribution of origin and destination, travel purpose, travel mode, travel time, travel distance, travel frequency, etc. From this, the distribution law of passengers on the bus network can be determined, providing data for the optimization of the bus network. It can also determine the average riding distance and average riding time of passengers on each line, and establish the conversion relationship between the resident travel volume and the traffic volume. The data obtained through personal travel surveys are the basic data for urban comprehensive transportation system planning and evaluation.

[0087] In the specific implementation, for example, there may be a large passenger flow on the initial operating route, but due to the long route and tight bus resources, the initial operating route is adjusted to obtain the target operating route. Therefore, it is necessary to divert a part of the passenger flow on the initial operating route to the target operating route.

[0088] It should be noted that if none of the initial operating routes is the same as the target operating route, that is, both the starting point and the ending point are different, then the passenger flow of the initial operating route corresponding to the target operating route before adjustment will be lost. If there is more than one initial operating route that is the same as the target operating route, that is, the starting point and the ending point are the same, then the passenger flow of the initial operating route corresponding to the target operating route before adjustment is diverted.

[0089] Furthermore, in order to determine the weight of the target operating route, step S201 of this embodiment may include:

[0090] Determine the weight of the target operating route according to the stations and transfer times of the target operating route;

[0091] Allocate the passenger flow according to the weight of the target operating route, the passenger volume of the unadjusted operating route, and the passenger flow allocation formula;

[0092] Among them, the passenger flow allocation formula is:

[0093]

[0094] In the formula, represents the passenger flow allocated to the target operating route, Q a and Qb represent two weights that can reach the target operation route, N AB represent the passenger flow of the unadjusted operation route.

[0095] It should be noted that, taking two stations on the target operation route as a group, weights are assigned to all reachable schemes according to the number of stations and the number of transfers. For example, in a reachable scheme, the weight of one station is incremented by one, and the weight of one transfer is incremented by three.

[0096] It can be understood that a reachable scheme means that there are multiple ways on the target operation route to reach the end point of the target operation route from the starting point of the target operation route. For example, one can go directly on the target operation route, or get off at one of the stations on the target operation route and choose to transfer to reach the end point of the target operation route.

[0097] Step S202: Obtain the operation data of the unadjusted operation route, and generate a preset route analysis model according to the operation data of the unadjusted operation route. The unadjusted operation route is the same as the target operation route.

[0098] It should be noted that the target operation route has not been simulated yet, so data needs to be obtained according to some unadjusted operation routes.

[0099] It can be understood that the unadjusted operation route is the same as the target operation route, that is, the data of some unadjusted operation routes can be regarded as the data of the target operation route.

[0100] It can be understood that since the data of the unadjusted operation route can represent the data of the target operation route, the preset route analysis model formed by the operation data of the unadjusted operation route can analyze the target operation route.

[0101] Furthermore, in order to obtain the operation data of the target operation route, step S202 of this embodiment may include:

[0102] Obtain the trip duration, arrival running speed, departure running speed, and station information of the unadjusted operation route at different time periods, and determine the arrival information and departure information according to the trip duration, the arrival running speed, the departure running speed, and the station information at different time periods;

[0103] Generate a preset route analysis model according to the arrival information and the departure information.

[0104] It should be noted that after the passenger flow volume on the target operation route is determined, determine the time period during which the vehicle runs on the target operation route, obtain the duration of each trip corresponding to different time periods on the target operation route from the unadjusted operation route according to different time periods on the target operation route, and obtain the operation speed on the unadjusted operation route, so as to simulate the arrival and departure speeds when running on the unadjusted operation route.

[0105] It can be understood that the station information can be the station name, the average time to reach each station, etc., and this embodiment does not limit this.

[0106] It can be understood that the card swiping data of passengers can be corresponded to the corresponding on-vehicle machine according to the preset route analysis model, and the corresponding bus can be found according to the model of the on-vehicle machine, and the card swiping data of passengers can be corresponded to the specific bus, so as to know the revenue situation of the route on which the bus runs.

[0107] Step S203: Adjust the schedule of the target operation route according to the result of passenger flow diversion.

[0108] It should be noted that the full load capacity of each bus on the target operation route can be set according to the result of passenger flow diversion, and the full load capacity can be set according to the passenger flow volume during peak hours.

[0109] It should be noted that the initial schedule is set according to one bus per minute, but such a set schedule will lead to very dense departures, and there may be a situation where the passenger capacity of some trips is zero. Based on this situation, the schedule needs to be adjusted, and the departure time of each trip should be reasonably arranged according to the result of passenger flow diversion.

[0110] It can be understood that in order to ensure that the passenger flow at each station is as balanced as possible for each trip, it is necessary to limit the passenger flow at each station, which can be done manually or by diverting the passenger flow at the station, so as to avoid the situation where the passenger flow at one station is overloaded and the passengers at subsequent stations cannot board the bus.

[0111] Step S204: Run the adjusted schedule and obtain the operation data of the target operation route from the preset route analysis model.

[0112] It can be understood that running according to the adjusted schedule and corresponding the card swiping data to the specific bus according to the preset route analysis model can obtain the revenue data of the bus.

[0113] It should be noted that the revenue data is the total revenue of each trip, the total passenger flow volume, the revenue per 100 kilometers, the revenue per vehicle, etc., and this embodiment does not limit this.

[0114] In this embodiment, the passenger flow is diverted according to the weight of the target operation route, the operation data of the unadjusted operation route is obtained, and a preset route analysis model is generated according to the operation data of the unadjusted operation route. The unadjusted operation route is the same as the target operation route. The schedule of the target operation route is adjusted according to the result of the passenger flow diversion, the adjusted schedule is run, and the operation data of the target operation route is obtained from the preset route analysis model. Since in this embodiment, the schedule is adjusted by diverting the passenger flow and the preset route analysis model is generated according to the operation data of the unadjusted operation route, and the operation data of the target operation route is obtained from the target operation route through the preset route analysis model, the operation data of the obtained target route can be made more accurate, so that the result of comparing with the operation data of the initial operation route is more accurate.

[0115] Referring to Figure 4 , Figure 4 is a schematic flowchart of the third embodiment of the travel route analysis method of the present invention. Based on the above Figure 3 shown in the second embodiment, the third embodiment of the travel route analysis method of the present invention is proposed.

[0116] In the third embodiment, the step S203 includes:

[0117] Step S2031: Determine the full load volume when running on the target operation route according to the result of the passenger flow diversion.

[0118] It can be understood that once the passenger volume on the target operation route is determined, the shifts can be arranged according to the passenger volume, and a suitable full load volume can be determined according to the number of passengers in each shift, which can ensure that there are passengers who can get on the bus at each stop on the target operation route.

[0119] It should be understood that whether a schedule is needed is judged according to whether the number of passengers in each trip reaches the full load volume.

[0120] Step S2032: Adjust the schedule of the target operation route when multiple shifts do not reach the full load volume.

[0121] It can be understood that when multiple shifts do not reach the full load volume, it indicates that these multiple shifts are inefficient and waste resources.

[0122] It should be noted that when multiple shifts do not reach the full load volume, multiple shifts can be selected for optimization. For example, when two consecutive shifts do not reach the full load volume, the latter trip can be selected to replace the former trip to improve the operation efficiency.

[0123] It can be understood that, in order to ensure that the passenger flow at each station is as balanced as possible for each trip, it is necessary to restrict the passenger flow at each station, which can be done manually or by diverting the passenger flow at the station, so as to avoid the situation where the passenger flow at one station is overloaded and the passengers at subsequent stations cannot board the vehicle.

[0124] In this embodiment, the full load capacity during operation on the target operation route is determined according to the result of passenger flow diversion. When the full load capacity is not reached in multiple shifts, the schedule of the target operation route is adjusted; in this embodiment, the schedule of the target operation route is adjusted through the full load capacity, so as to simulate the operation of the bus on the adjusted route relatively realistically, and can prevent the satisfaction of passengers from decreasing due to unreasonable route planning during the actual operation process.

[0125] In addition, to achieve the above object, the present invention also proposes a storage medium, on which a travel route analysis program is stored. When the travel route analysis program is executed by a processor, the steps of the travel route analysis method described above are implemented.

[0126] In addition, referring to Figure 5 , the embodiment of the present invention also proposes a travel route analysis device, which includes: a route adjustment module 10, a data acquisition module 20, and a result analysis module 30;

[0127] The route adjustment module 10 is used to obtain the initial operation route and adjust the initial operation route according to the passenger characteristic information to obtain the target operation route;

[0128] The data acquisition module 20 is used to analyze the target operation route through a preset route analysis model to obtain the operation data of the target operation route;

[0129] The result analysis module 30 is used to generate a travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route.

[0130] In this embodiment, the initial operation route is obtained, and the initial operation route is adjusted according to the passenger characteristic information to obtain the target operation route. The target operation route is analyzed through a preset route analysis model to obtain the operation data of the target operation route. A travel route analysis result is generated according to the operation data of the target operation route and the operation data of the initial operation route; since the present invention obtains the target operation route by adjusting the initial operation route, obtains the operation data of the target operation route from the preset route analysis model and compares it with the operation data of the initial operation route, and judges the effect of the adjustment of the initial operation route according to the comparison result, there is no need to actually try the operation route to judge whether the adjusted route is reasonable, saving a large amount of costs.

[0131] Based on the first embodiment of the above-mentioned travel route analysis device of the present invention, a second embodiment of the travel route analysis device of the present invention is proposed.

[0132] In this embodiment, the data acquisition module 20 is used to divert the passenger flow according to the weight of the target operation route.

[0133] Furthermore, the data acquisition module 20 is further used to acquire the operation data of the unadjusted operation route and generate a preset route analysis model according to the operation data of the unadjusted operation route, and the unadjusted operation route is the same as the target operation route.

[0134] Furthermore, the data acquisition module 20 is further used to adjust the schedule of the target operation route according to the result of the passenger flow diversion.

[0135] Furthermore, the data acquisition module 20 is further used to run the adjusted schedule and obtain the operation data of the target operation route from the preset route analysis model.

[0136] Furthermore, the data acquisition module 20 is further used to determine the weight of the target operation route according to the stations and transfer times of the target operation route.

[0137] Furthermore, the data acquisition module 20 is further used to allocate the passenger flow according to the weight of the target operation route, the passenger volume of the unadjusted operation route and the passenger flow allocation formula.

[0138] Furthermore, the data acquisition module 20 is further used to acquire the trip duration, arrival running speed, departure running speed and station information of the unadjusted operation route at different time periods, and determine the arrival information and departure information according to the trip duration, the arrival running speed, the departure running speed and the station information at different time periods.

[0139] Furthermore, the data acquisition module 20 is further used to generate a preset route analysis model according to the arrival information and the departure information.

[0140] Furthermore, the data acquisition module 20 is further used to determine the full load volume when running on the target operation route according to the result of the passenger flow diversion.

[0141] Furthermore, the data acquisition module 20 is further used to adjust the schedule of the target operation route when the full load volume is not reached in multiple shifts.

[0142] Furthermore, the route adjustment module 10 is further used to acquire the operation data of the initial operation route and determine whether to adjust the initial operation route according to the operation data of the initial operation route.

[0143] Further, the route adjustment module 10 is further configured to adjust the initial operation route according to the passenger characteristic information when it is determined to adjust the initial operation route.

[0144] Further, the result analysis module 30 is further configured to compare the operation data of the target operation route with the operation data of the initial operation route.

[0145] Further, the result analysis module 30 is further configured to generate a travel route analysis result according to the comparison result.

[0146] For other embodiments or specific implementation manners of the travel route analysis device of the present invention, reference may be made to the above method embodiments, which will not be elaborated herein.

[0147] It should be noted that in this article, the terms "including", "comprising" or any other variation thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or system including the element.

[0148] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0149] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation manner. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a Read Only Memory image (ROM) / Random Access Memory (RAM), magnetic disk, optical disk), and includes several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0150] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the description of the present invention and the content of the drawings, or directly or indirectly applied to other related technical fields, shall be included in the patent protection scope of the present invention in the same way.

Claims

1. A travel route analysis method, characterized in that, The travel route analysis method comprises the following steps: Acquire an initial operating route, and adjust the initial operating route according to passenger characteristic information to obtain a target operating route; Analyze the target operation route through a preset route analysis model to obtain operation data of the target operation route; Generating a travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route; The step of analyzing the target operation route by using a preset route analysis model to obtain the operation data of the target operation route includes: When there is more than one route in the initial operation route that is the same as the target operation route, passenger flow is divided according to the weight of the target operation route; Acquiring operation data of an unadjusted operation route, and generating a preset route analysis model according to the operation data of the unadjusted operation route, wherein the unadjusted operation route is the same as the target operation route; Adjust the schedule of the target operating route according to the results of passenger flow diversion; Running the adjusted shift schedule and obtaining operation data of the target operation route from the preset route analysis model; The step of diverting passenger flow according to the weight of the target operating route includes: Determining the weight of the target operating route according to the stations and the number of transfers of the target operating route; Allocate the passenger flow according to the weight of the target operating route, the passenger flow of the unadjusted operating route and the passenger flow allocation formula; The passenger flow allocation formula is: In the formula, represents the passenger flow allocated to the target operation route, Q a and Q b represent the weights of two routes that can reach the target operation route, N AB represents the passenger flow of the unadjusted operation route.

2. The travel route analysis method according to claim 1, wherein, The step of obtaining the operation data of the unadjusted operation route and generating a preset route analysis model according to the operation data comprises: Obtaining the trip duration, arrival speed, departure speed and station information of the unadjusted operation route in different time periods, and determining the arrival information and departure information according to the trip duration, arrival speed, departure speed and station information of the different time periods; A preset route analysis model is generated according to the arrival information and the departure information.

3. The travel route analysis method according to claim 1, wherein The step of adjusting the schedule of the target operating route according to the result of passenger flow diversion includes: Determine the full load when operating on the target operation route according to the result of passenger flow diversion; When multiple shifts do not reach the full load, the shift schedule of the target operating route is adjusted.

4. The travel route analysis method according to any one of claims 1 to 3, characterized in that The step of obtaining an initial operating route and adjusting the initial operating route according to passenger characteristic information to obtain a target operating route includes: Acquiring operation data of the initial operation route, and determining whether to adjust the initial operation route according to the operation data of the initial operation route; When determining to adjust the initial operation route, the initial operation route is adjusted according to the passenger characteristic information.

5. The travel route analysis method according to any one of claims 1 to 3, characterized in that The step of generating a travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route comprises: Comparing the operation data of the target operation route with the operation data of the initial operation route; Generate travel route analysis results based on the comparison results.

6. A travel route analysis device, characterized in that, The travel route analysis device includes: a memory, a processor, and a travel route analysis program stored on the memory and executable on the processor. When the travel route analysis program is executed by the processor, it implements the steps of the travel route analysis method according to any one of claims 1 to 5.

7. A storage medium, characterized in that, A travel route analysis program is stored on the storage medium. When the travel route analysis program is executed by a processor, it implements the steps of the travel route analysis method according to any one of claims 1 to 5.

8. An itinerary analysis device, characterized in that, The travel route analysis device includes: a route adjustment module, a data acquisition module, and a result analysis module; The route adjustment module is configured to obtain an initial operation route and adjust the initial operation route according to passenger characteristic information to obtain a target operation route; The data acquisition module is configured to analyze the target operation route through a preset route analysis model to obtain operation data of the target operation route; The result analysis module is configured to generate a travel route analysis result according to the operation data of the target operation route and the operation data of the initial operation route; The data acquisition module is further configured to, when there are more than one route in the initial operation route that is the same as the target operation route, divert the passenger flow according to the weight value of the target operation route; acquire operation data of the unadjusted operation route, and generate a preset route analysis model according to the operation data of the unadjusted operation route, where the unadjusted operation route is the same as the target operation route; adjust the schedule of the target operation route according to the result of the passenger flow diversion; run the adjusted schedule, and obtain the operation data of the target operation route from the preset route analysis model; determine the weight value of the target operation route according to the stations and transfer times of the target operation route; allocate the passenger flow according to the weight value of the target operation route, the passenger volume of the unadjusted operation route, and the passenger flow allocation formula; where the passenger flow allocation formula is: In the formula, represents the passenger flow allocated to the target operation route, Q a and Q b represent the weights of two routes that can reach the target operation route, N AB represents the passenger flow of the unadjusted operation route.

Images