A bus operation planning method, a bus operation status evaluation method and a device thereof

By calculating the static and dynamic indicators of bus lines, evaluating the operation status of ground buses, discovering congested sections and modifying the operation plan, the problem of insufficient evaluation accuracy and practicality in the existing technology is solved, and operation efficiency and refined management are improved.

CN113822502BActive Publication Date: 2024-12-24ALIBABA GROUP HOLDING LTD
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Patent Information

Application Number
CN202010557884.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-06-18
Publication Date
2024-12-24
Estimated Expiration
2040-06-18

AI Technical Summary

Technical Problem

The methods used in the prior art to evaluate the operating status of ground buses have poor accuracy and practicality, making it difficult to efficiently detect traffic bottlenecks and improve operational efficiency.

Method used

By receiving planning requests, determine the operation site and line data of the bus line, calculate static and dynamic indicators, evaluate the operation status, discover congested sections and modify the operation planning information.

Benefits of technology

It improves the granularity and practicality of bus operation evaluation, can more refinedly identify operational convenience, efficiency and smoothness, discover bus congested sections, and improve operation management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a bus operation planning method, a bus operation status evaluation method and equipment thereof. The planning method obtains the operation site data and operation line data of the bus lines in the planning area, determines the bus static indicators in the area according to the operation site data and the operation line data, and then preliminarily judges the supply status of the bus network in the area. For areas with sufficient supply status, the bus dynamic indicators in the area are determined according to the operation line data; finally, the bus operation status in the area is evaluated according to the bus static indicators and the bus dynamic indicators, the bus congested sections of the area or road are found, and the planning information of the operation sites and / or operation lines of the corresponding bus lines is modified. The present invention combines overall multi-dimensional, static and dynamic, so that the evaluation parameters involve different dimensions related to the convenience, efficiency, smoothness and punctuality of bus operation, which greatly enriches the granularity of bus evaluation and improves practicality.
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Description

Technical Field

[0001] The present invention relates to the technical field of public transportation, and in particular to a method for planning public transportation operations, a method for evaluating public transportation operation status, and equipment thereof. Background Art

[0002] With the improvement of urban infrastructure, most cities have established public transportation systems. Ground public transportation systems can maximize the advantages of public transportation to alleviate urban traffic congestion, but how to find the bottlenecks in public transportation sections and how to improve the operational efficiency of ground public transportation are technical challenges in this field.

[0003] In the prior art, reference Figure 1 As shown in the figure, the running status of ground buses is evaluated by calculating the total length of a single ground bus line, the total running time from the starting station to the terminal station of a single line, the average running speed of a single line, the total length of urban ground bus routes, the average running speed of urban ground buses, etc. This coarse-grained evaluation method often has poor accuracy and practicality. Therefore, how to achieve high-precision and high-efficiency evaluation, improve the operating efficiency of ground transportation, alleviate traffic congestion, and thus better provide refined management solutions for bus companies, etc. is a problem that technicians in this field need to solve urgently. Summary of the invention

[0004] In view of the technical defects and technical drawbacks existing in the prior art, the embodiments of the present invention provide a bus operation planning method, a bus operation status evaluation method and a device thereof that overcome the above problems or at least partially solve the above problems.

[0005] As one aspect of an embodiment of the present invention, a method for public transportation operation planning is provided, which may include:

[0006] When a planning request is received, the operating station data and operating route data of the bus routes in the area are determined according to the area to be planned contained in the planning request;

[0007] Determine the public transportation static index in the area according to the operation site data and the operation route data;

[0008] Determine the public transportation dynamic index in the area according to the operating route data;

[0009] The public transportation operation status in the area is evaluated according to the public transportation static index and the public transportation dynamic index.

[0010] Optionally, the evaluating the public transportation operation status in the area according to the public transportation static index and the public transportation dynamic index may include:

[0011] Determine the bus line network supply parameters in the area according to the bus static indicators;

[0012] When the bus network supply parameter is higher than a predetermined threshold, the bus congestion section in the area is determined according to the bus dynamic index.

[0013] Optionally, the public transportation dynamic index includes at least one of the following indicators:

[0014] The headway time of public transportation vehicles at each station on the route, the average speed of public transportation vehicles between each station on the route, the variance of the average speed of public transportation vehicles at each station on the route, and the travel efficiency ratio between public transportation vehicles and non-public transportation vehicles between two stations in the area.

[0015] Optionally, determining the travel efficiency ratio may include:

[0016] Determine the average speed of the public transportation vehicle between the two stations according to the operating route data;

[0017] determining an average speed of the non-public transport between the two sites based on the navigation map data;

[0018] The travel efficiency ratio is determined according to an average speed of the public transportation vehicle and an average speed of the non-public transportation vehicle.

[0019] Optionally, the bus static indicators include at least one of the following indicators: station coverage area, station coverage rate, rail transit station connection rate, total number of bus lines, total length of bus lines, total length of bus line network, bus line repetition coefficient, bus line network coverage rate, bus line non-linear coefficient, average distance between bus stations, and total mileage of bus lanes.

[0020] As a second aspect of an embodiment of the present invention, a method for evaluating a public transportation operation status may include:

[0021] Determine the static indicators of public transportation in the area based on the operation station data and operation line data of the public transportation routes in the area;

[0022] Determine the public transportation dynamic index in the area according to the operating route data;

[0023] The public transportation operation status in the area is evaluated according to the public transportation static index and the public transportation dynamic index.

[0024] As a third aspect of an embodiment of the present invention, a bus operation planning server is provided, which may include:

[0025] A data determination module is used to determine the operation station data and operation route data of the bus lines in the area according to the area to be planned included in the planning request after receiving the planning request;

[0026] A static index determination module, used to determine the public transportation static index in the area according to the operation site data and the operation line data;

[0027] A dynamic index determination module, used to determine the public transportation dynamic index in the area according to the operating line data;

[0028] An operation status evaluation module, used for evaluating the operation status of the public transportation in the area according to the public transportation static index and the public transportation dynamic index;

[0029] The planning information modification module is used to modify the planning information of the operating sites and / or operating routes of the corresponding bus routes in the area according to the evaluation result of the bus operating status in the area.

[0030] As a fourth aspect of an embodiment of the present invention, a bus operation status evaluation server is provided, which may include:

[0031] A first determination module is used to determine the static indicators of public transportation in the area according to the operation station data and operation line data of the public transportation lines in the area;

[0032] A second determination module is used to determine the public transportation dynamic index in the area according to the operating line data;

[0033] An evaluation module is used to evaluate the public transportation operation status in the area according to the public transportation static index and the public transportation dynamic index.

[0034] As a fifth aspect of an embodiment of the present invention, it relates to a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned bus operation status evaluation method and the above-mentioned bus operation planning method are implemented.

[0035] As a sixth aspect of an embodiment of the present invention, it relates to a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned bus operation status evaluation method and the above-mentioned bus operation planning method when executing the program.

[0036] The embodiments of the present invention achieve at least the following technical effects:

[0037] The above-mentioned bus operation planning method, bus operation status evaluation method and device provided by the embodiment of the present invention, the planning method determines the bus static index in the area through the operation station data and operation line data of the bus lines in the area, and preliminarily judges the supply status of the bus network in the area through the bus static index. The area with low station coverage and low bus line repetition coefficient indicates that the line may be insufficient, and the area with large non-linear coefficient indicates that the bus may not be convenient enough; and for the area or road with sufficient supply status, the bus dynamic index in the area is further determined according to the operation line data; finally, the bus operation status in the area is evaluated according to the bus static index and the bus dynamic index, and then the bus congested section of the area or road is found; further, the operation station and / or operation line planning information of the corresponding bus line in the area can be modified according to the evaluation result of the bus operation status. The embodiment of the present invention combines the overall multi-dimensional, static and dynamic, so that the evaluation parameters involve different dimensions related to the convenience, efficiency, smoothness and punctuality of bus operation, which greatly enriches the granularity of bus evaluation and improves practicality.

[0038] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structure described in the written description, claims, and drawings.

[0039] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0041] Figure 1 A flow chart of a method for evaluating the operating status of urban ground public transportation in the prior art;

[0042] Figure 2 A flow chart of a method for evaluating public transportation operation status provided by an embodiment of the present invention;

[0043] Figure 3 A schematic diagram of the interaction between various execution entities during the public transportation operation planning provided by an embodiment of the present invention;

[0044] Figure 4 is a flowchart of step S12;

[0045] Figure 5 is a flowchart of step S13;

[0046] Figure 6A detailed structural diagram of a public transportation operation status evaluation provided by an embodiment of the present invention;

[0047] Figure 7 A schematic diagram of a specific urban public transportation operation status provided by an embodiment of the present invention;

[0048] Figure 8 A schematic diagram of a specific bus route evaluation provided by an embodiment of the present invention;

[0049] Fig. 9 A schematic diagram of the structure of a public transportation operation status evaluation server provided by an embodiment of the present invention;

[0050] Fig.10 A flowchart of a public transportation operation planning method provided by an embodiment of the present invention;

[0051] Fig.11 A schematic diagram of the structure of a public transportation operation planning server provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0053] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0054] Explanation of technical terms of the present invention:

[0055] Operation site data: all site data information within a preset area. The operation sites in the embodiment of the present invention may include: ground public transportation operation sites, rail transit operation sites, ship transportation operation sites, aircraft operation sites, etc. The embodiment of the present invention takes ground public transportation operation sites as an example for illustration, such as all bus site data in XX District, XX City.

[0056] Operational route data: basic data of all operating routes in a preset area, route attribute data, etc., such as basic bus data and urban spatial range data collected by map software developed by navigation software companies; or bus data obtained from bus operating company servers, so as to calculate spatial relationships and summarize route attribute data (number of routes, length, etc.).

[0057] Public transportation: vehicles and ships used by passengers in public transportation, such as buses, public trams, public ships, etc.

[0058] Public transportation static indicators: micro and quantitative indicators used to evaluate the rationality of operating stations and operating routes within the preset area, reflecting the static status of public transportation operations. For example, they may include station coverage rate, line network coverage rate, line repetition coefficient, line non-linear coefficient, station connection rate, etc. The above data can be obtained by correlating and calculating based on line space data, road network space data, station space data, etc.

[0059] Public transportation dynamic indicators: microscopic and quantitative indicators used to evaluate the rationality of operating sites and operating routes within a preset area, reflecting the dynamics of public transportation operation conditions. They may include the headway time of public transportation vehicles at each site on the route, the average speed of public transportation vehicles at each site on the route, the efficiency ratio of self-driving travel and public transportation travel on the same section of road at the same time, etc.

[0060] Public transport operation status: the operating status of public transport enterprises in terms of operation and passenger transportation.

[0061] Site coverage area: The coverage area within a certain radius of the site. The coverage area of ​​each site can be calculated according to the "Urban Road Traffic Planning and Design Specifications".

[0062] Site coverage rate: the percentage of the total site service coverage area to the urban construction land area, for example, the proportion of the coverage area after spatial calculation (Union) to the designated space in the city.

[0063] Rail transit station connection rate: the proportion of rail stations with bus stations within a certain range near rail stations to all rail stations. The connection rate is used to measure the closeness of the connection between rail and bus. Bus and rail stations that are close in space can be defined as "connected". For example, XXX subway station is connected with XXX bus station (bus station), XXX intersection north (bus station), XXX intersection west (bus station), etc.

[0064] Total number of bus routes: The total number of all bus routes in the preset area.

[0065] Total length of bus routes: the total length of all bus routes in the preset area.

[0066] Total length of bus route network: the total length of the bus route network in the preset area. Since there may be repeated roads between routes, it is less than the total length of bus routes.

[0067] Bus route repetition coefficient: the ratio of the total length of bus routes to the total length of the bus route network, that is, the ratio of route density to line network density, where route density refers to the ratio of the total length of bus operating routes to the urban land area with bus services, and line network density refers to the ratio of the road mileage where routes are laid out in the region to the urban land area with bus services.

[0068] Bus route network coverage rate: the ratio of roads covered by bus routes in a preset area to the length of the road network in the area. Bus route network coverage rate is also called bus station service area rate, which is the percentage of bus station service area to urban land area and is an important indicator of the accessibility of urban residents to public transportation.

[0069] The non-linear coefficient of bus routes is the ratio of the actual traffic distance between the starting and ending points of a road to the spatial straight-line distance between the two points. It is used to measure the degree of “straightness” of bus routes and can evaluate the convenience of connections between different road network types and passenger and freight flow route distribution points.

[0070] Average distance between bus stops: the average value of the actual travel distance between each adjacent stop on a bus line.

[0071] Total mileage of bus lanes: the total length of independent right-of-way lanes set aside for public transportation within a preset area.

[0072] The headway time of public transportation vehicles at each station on the route: the time difference when the head of the public transportation vehicle passes through the preset observation station in sequence.

[0073] Average speed of public transport vehicles traveling between stations on the route: the average speed of public transport vehicles traveling between adjacent stations in the preset area.

[0074] It should be noted that in the embodiment of the present invention, the planning of bus operation can be performed by the planning server, the evaluation server and the data storage server. The working principle is as follows: the planning server mainly modifies the planning information of the operating stations and / or operating routes in the bus routes in the area; the evaluation server evaluates the bus operation status in the area; the data storage server mainly stores the bus route data in the area, which may include the operating station data and the operating route data.

[0075] Example 1

[0076] The embodiment of the present invention provides a method for evaluating the operation status of a public transportation system. The method can be implemented by an evaluation server. Figure 2 , Figure 3 and Figure 6 As shown, the following steps may be included:

[0077] Step S11: Determine the bus static index in the area according to the operation station data and operation route data of the bus routes in the area.

[0078] In this step, the operating station data and operating route data of the above bus lines can be obtained by analyzing the data stored in the data storage server by the bus operating company, and after analysis, the actual operation entry and exit time, operation speed and other information of the bus can be obtained. Of course, the above information can also be obtained by multiple acquisitions through map software (such as existing navigation software), or simulated through a pre-trained simulation model. The embodiment of the present invention does not specifically limit the acquisition method.

[0079] Optionally, the bus static indicators include at least one of the following indicators: station coverage area, station coverage rate, rail transit station connection rate, total number of bus lines, total length of bus lines, total length of bus line network, bus line repetition coefficient, bus line network coverage rate, bus line non-linear coefficient, average distance between bus stations, and total mileage of bus lanes.

[0080] The above-mentioned bus static index in the embodiment of the present invention can be calculated by software such as TransCAD software, and of course, it can also be calculated by other software or algorithms, and the embodiment of the present invention does not make specific limitations on this.

[0081] Specifically, in this step, the bus static indicators such as the bus line repetition coefficient, bus line network coverage, bus line non-linear coefficient, etc. are compared with the thresholds specified by the indicators of cities of different sizes, and the static indicators affecting the bus are evaluated from a more refined and broader dimension, so that the evaluation results are more detailed and the evaluation is more practical. The bus network supply status in the area is preliminarily judged by the bus static indicators. Areas with low station coverage and low bus line repetition coefficient indicate that the bus lines may be insufficient, and areas with large non-linear coefficients indicate that the bus may not be convenient enough. Then, the above-mentioned insufficient routes and inconvenient stations can be used as an evaluation result; for areas or roads with sufficient supply status, step S12 needs to be executed to evaluate from the bus dynamic indicators.

[0082] Step S12: determining the public transportation dynamic index in the area according to the operating line data.

[0083] The operating route data in this step includes bus dynamic data and non-bus dynamic data. The non-bus dynamic data can be obtained through the traffic information release platform, and the bus dynamic data can be obtained from the real-time monitoring information of the traffic management department, or directly from the server of the above department. The embodiment of the present invention does not make specific limitations on this.

[0084] Optionally, the public transportation dynamic index includes at least one of the following indicators: the headway time of public transportation vehicles at each station on the line, the average speed of public transportation vehicles between each station on the line, the variance of the average speed of public transportation vehicles at each station on the line, and the travel efficiency ratio between public transportation vehicles and non-public transportation vehicles between two stations in the area.

[0085] Step S13: Evaluate the public transportation operation status in the area according to the public transportation static index and the public transportation dynamic index.

[0086] The above-mentioned bus operation status evaluation method provided by the embodiment of the present invention determines the bus static index in the area according to the operation station data and operation line data of the bus lines in the area, and preliminarily judges the supply status of the bus network in the area through the bus static index. The area with low station coverage and low bus line repetition coefficient indicates that the line may be insufficient, and the area with a large non-linear coefficient indicates that the bus may not be convenient enough; and for the area or road with sufficient supply status, the bus dynamic index in the area is further determined according to the operation line data; finally, the bus operation status in the area is evaluated according to the bus static index and the bus dynamic index, and finally the bus congested section of the area or road is found. The embodiment of the present invention combines overall multi-dimensional, static and dynamic, so that the evaluation parameters involve different dimensions related to the convenience, efficiency, smoothness and punctuality of bus operation, which greatly enriches the granularity of bus evaluation and improves practicality.

[0087] In an optional embodiment, in the above step S12, it is necessary to evaluate the road section between two identical stations, and firstly calculate the road section location by using the logical subordination and geographic spatial relationship between the stations and the routes. Figure 4 and Figure 6 As shown, determining the travel efficiency ratio may include the following steps:

[0088] Step S121: Determine the average speed of the public transportation between the two stations according to the operating line data.

[0089] Because the operating line data includes the time when buses and other vehicles enter and leave the station, the average speed of public transportation vehicles at two adjacent stations can be analyzed based on a large amount of data statistics. In the embodiment of the present invention, the traffic congestion section or traffic congestion bottleneck in the area can be determined based on the comparison between the average speed of public transportation vehicles and the average speed of non-public transportation vehicles between two adjacent stations.

[0090] Step S122: Determine the average speed of the non-public transportation vehicle between the two sites according to the navigation map data. The navigation map can collect the average speed of the non-public transportation vehicle passing through the two adjacent sites in step S121, and use the average speed obtained at this time as a comparison parameter for comparison.

[0091] The above steps S121 and S122 are independent steps and are executed in no particular order. The average speed of public transportation vehicles may be determined first and then the average speed of non-public transportation vehicles, or the average speed of non-public transportation vehicles may be determined first and then the average speed of public transportation vehicles. Of course, the above steps may also be executed simultaneously, and the embodiment of the present invention does not make any specific limitation on this.

[0092] Step S123: Determine the travel efficiency ratio according to the average speed of the public transportation vehicle and the average speed of the non-public transportation vehicle.

[0093] The travel efficiency ratio in this step may also be the travel time ratio of non-public transportation to public transportation on the same route at the same time.

[0094] In an optional embodiment, in the above step S13, the public transportation operation status in the area is evaluated according to the public transportation static index and the public transportation dynamic index. Figure 5 and Figure 6 As shown, the specific implementation method may include the following steps:

[0095] Step S131: Determine the bus network supply parameters in the area according to the bus static indicators.

[0096] The public transportation static indicators in the embodiment of the present invention include: station coverage area, station coverage rate, rail transit station connection rate, total number of bus lines, total length of bus lines, total length of bus line network, bus line repetition coefficient, bus line network coverage rate, bus line non-linear coefficient, average station distance between bus lines, total mileage of bus lanes, etc. Each of the above indicators has a different threshold when conducting urban public transportation planning. The above indicators in the area are compared with the threshold, and the above indicators are evaluated, for example, the excellent, medium and poor of each indicator are evaluated, and then all indicators are averaged or integrated to obtain a comprehensive evaluation value, that is, the bus line network supply parameter in the area.

[0097] Step S132: when the bus network supply parameter is higher than a predetermined threshold, determine the bus congestion section in the area according to the bus dynamic index.

[0098] The comprehensive bus network supply parameters can be compared with the road network supply parameters of urban planning (i.e., predetermined thresholds). When the predetermined thresholds are met, it can be proved that the bus network supply in the area is sufficient, and the next step is to determine the bus congested sections in the area based on bus dynamic indicators.

[0099] Step S133: When the bus network supply parameter is lower than a predetermined threshold, the bus network supply status may be insufficient, which may be due to low station coverage area, low station coverage rate, low rail transit station connection rate, low bus line repetition coefficient, low bus line network coverage rate, or a small total mileage of bus lanes, or the bus line non-linear coefficient is large in the area where the bus may not be convenient enough.

[0100] In a specific embodiment, referring to Figure 6 and Figure 7 As shown, Figure 7 The figure shows a schematic diagram of bus routes in a certain area. The supply status of bus routes is represented by deepening the colors of different roads on a light gray base map. The darker the road location, the higher the bus network supply parameters in the area determined by the bus static index compared with the preset threshold, that is, at least one or more of the following parameters are higher than the preset threshold: station coverage rate, rail transit station connection rate, bus line repetition coefficient, bus line network coverage rate, average bus line station distance, etc., or the bus line non-linear coefficient is small. It can be seen from the figure that the basic transportation facilities are most complete in the city center. For example, the bus route supply status near Xiacheng District and Shangcheng District is sufficient relative to Xiaoshan District and the bus passenger transport center station.

[0101] In another specific embodiment, referring to Figure 8 As shown in the figure, it is a schematic diagram of the dynamic indicators of public transportation during morning and evening peaks from east to west in a certain bus route (A intersection-S intersection). There are 20 sections from A intersection to S intersection, and the speed ratio of non-public transportation vehicles (social vehicles) to public transportation vehicles (bus vehicles) in most sections is higher than 2.0, and only in some sections during the morning peak is the speed ratio close to 1.5. Therefore, on most sections during the morning and evening peaks, the average travel time of bus users is more than twice that of driving users. As can be seen from the figure, the speed ratio of some sections is even higher than 3.0, especially between J intersection and M intersection (10-13), where the speed ratio is the highest. This section is the section with the lowest efficiency of public transportation travel, that is, the section with the most serious congestion. Therefore, it can be determined that this section is the bottleneck that affects public transportation travel the most.

[0102] In the specific embodiment of the present invention, the supply status of the bus network in the area is preliminarily judged by the static indicators of the bus, and then the bus congested sections of the area or road are found according to the dynamic indicators of the bus. The static and dynamic indicators are combined so that the evaluation parameters involve different dimensions of convenience, efficiency, smoothness and punctuality of bus operation, which greatly enriches the granularity of the bus evaluation and improves the practicality.

[0103] Based on the same inventive concept, the embodiment of the present invention also provides a bus operation status evaluation server, the server end refers to a server for executing the bus operation status evaluation method, which can be a server or a cluster server, a local server or a cloud server, and the embodiment of the present disclosure does not specifically limit this. Fig. 9 As shown, the server may include: a first determination module 11, a second determination module 12 and an evaluation module 13, and its working principle is as follows:

[0104] The first determination module 11 determines the bus static index in the area according to the operation station data and operation line data of the bus lines in the area. Specifically, the bus static index includes at least one of the following indicators: station coverage area, station coverage rate, rail transit station connection rate, total number of bus lines, total length of bus lines, total length of bus line network, bus line repetition coefficient, bus line network coverage rate, bus line non-linear coefficient, average distance between bus stations, and total mileage of bus lanes.

[0105] The second determination module 12 determines the public transportation dynamic index in the area according to the operating line data. Optionally, the public transportation dynamic index includes at least one of the following indicators: the headway time of public transportation vehicles at each station on the line, the average speed of public transportation vehicles between each station on the line, the variance of the average speed of public transportation vehicles at each station on the line, and the travel efficiency ratio between public transportation vehicles and non-public transportation vehicles between two stations in the area.

[0106] Specifically, the second determination module 12 determines the travel efficiency ratio, which may include: determining the average speed of the public transportation between the two stations according to the operating line data; determining the average speed of the non-public transportation between the two stations according to the navigation map data; and determining the travel efficiency ratio according to the average speed of the public transportation and the average speed of the non-public transportation.

[0107] The evaluation module 13 evaluates the bus operation status in the area according to the bus static index and the bus dynamic index. Specifically, the evaluation module 13 determines the bus network supply parameters in the area according to the bus static index; when the bus network supply parameters are higher than a predetermined threshold, the bus congestion section in the area is determined according to the bus dynamic index.

[0108] The technical effects and related examples of the server described in this embodiment can be found in the relevant content of the above method embodiment, which will not be repeated here.

[0109] Example 2

[0110] The embodiment of the present invention provides a method for planning public transportation operations. Fig.10 As shown, the following steps may be included:

[0111] Step S21: after receiving a planning request, determining the operating station data and operating route data of the bus routes in the area according to the area to be planned contained in the planning request.

[0112] Step S22: Determine the public transportation static index in the area according to the operation site data and the operation route data.

[0113] Step S23: Determine the public transportation dynamic index in the area according to the operating line data.

[0114] Step S24: Evaluate the public transportation operation status in the area according to the public transportation static index and the public transportation dynamic index.

[0115] Step S25: modify the planning information of the operating sites and / or operating routes of the corresponding bus routes in the area according to the evaluation result of the bus operating status in the area.

[0116] In the embodiment of the present invention, step S22, step S23 and step S24 may be referred to as the examples and descriptions of step S11, step S12 and step S13 in the above-mentioned embodiment 1, and will not be described in detail here.

[0117] Reference Figure 3 As shown, the executor of step S21 and step S25 in the embodiment of the present invention may be a planning server. In the above step S21, after receiving a planning request, the operating site data and operating route data of the bus lines in the area are determined in the data storage server according to the planned area included in the planning request. The above data storage server in the embodiment of the present invention may be a server of a bus operating company.

[0118] In the above step S25, the planning information of the operating sites and / or operating routes of the corresponding bus routes in the area is modified according to the evaluation result of the bus operating status in the area.

[0119] Modifying the planning information of the operating stations and / or operating routes of the corresponding bus lines in the area may include: adding or reducing stations, reusing stations (adding or reducing bus routes at existing stations), reducing the non-linear coefficient of the operating lines, adding or reducing operating routes, increasing or reducing the operating frequency, etc. The specific modification needs to be made after a comprehensive analysis of the actual situation of the operating stations and operating routes of the bus lines in the region and the evaluation results.

[0120] The technical effects and related examples of the method described in this embodiment can be found in the relevant content of the above-mentioned embodiment 1, and will not be repeated here.

[0121] Based on the same inventive concept, an embodiment of the present invention provides a bus operation planning server, wherein the server end refers to a server for executing the bus operation status evaluation method, which can be a single server or a cluster server, a local server or a cloud server, and the present disclosure embodiment does not specifically limit this. Fig.11 As shown, the server may include: a data determination module 21, a static indicator determination module 22, a dynamic indicator determination module 23, an operation status evaluation module 24 and a planning information modification module 25, and its working principle is as follows:

[0122] After receiving the planning request, the data determination module 21 determines the operation station data and operation route data of the bus lines in the area according to the area to be planned contained in the planning request.

[0123] The static indicator determination module 22 determines the static indicators of public transportation in the area according to the operating station data and the operating line data. The static indicators of public transportation include at least one of the following indicators: station coverage area, station coverage rate, rail transit station connection rate, total number of bus lines, total length of bus lines, total length of bus line network, bus line repetition coefficient, bus line network coverage rate, bus line non-linear coefficient, average distance between bus stations, and total mileage of bus lanes.

[0124] The dynamic index determination module 23 determines the public transportation dynamic index in the area according to the operating line data.

[0125] The operation status evaluation module 24 evaluates the operation status of the bus in the area according to the static bus indicators and the dynamic bus indicators. Specifically, the operation status evaluation module 24 determines the bus network supply parameters in the area according to the static bus indicators; when the bus network supply parameters are higher than a predetermined threshold, the operation status evaluation module 24 determines the bus congestion section in the area according to the dynamic bus indicators. More specifically, the dynamic bus indicators include at least one of the following indicators: the headway time of public transportation vehicles at each station on the line, the average speed of public transportation vehicles between each station on the line, the variance of the average speed of public transportation vehicles at each station on the line, and the travel efficiency ratio between public transportation vehicles and non-public transportation vehicles between two stations in the area.

[0126] The planning information modification module 25 modifies the planning information of the operation sites and / or operation routes of the corresponding bus routes in the area according to the evaluation results of the bus operation status in the area. Specifically, the planning information modification module 25 modifies the planning information according to the evaluation results and the bus static indicators in the area.

[0127] The technical effects and related examples of the server described in this embodiment can be found in the relevant content of the above method embodiment, which will not be repeated here.

[0128] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0129] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks 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 produce 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.

[0130] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0131] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0132] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A bus operation planning method, comprising: When a planning request is received, the operating station data and operating route data of the bus routes in the area are determined according to the area to be planned contained in the planning request; Determine the public transportation static index in the area according to the operation site data and the operation route data; Determine the public transportation dynamic index in the area according to the operating route data; Evaluate the public transportation operation status in the area according to the public transportation static index and the public transportation dynamic index; According to the evaluation result of the public transportation operation status in the area, the planning information of the operation stations and / or operation routes of the corresponding public transportation routes in the area is modified; The public transportation dynamic index at least includes a travel efficiency ratio between a public transportation vehicle and a non-public transportation vehicle between two stations in the area, wherein determining the travel efficiency ratio includes: Determine the average speed of the public transportation vehicle between the two stations according to the operating route data; Determine the average speed of the non-public transportation vehicle between the two sites according to the navigation map data, and collect the average speed of the non-public transportation vehicle passing through the two sites from the navigation map; The travel efficiency ratio is determined according to an average speed of the public transportation vehicle and an average speed of the non-public transportation vehicle.

2. The method according to claim 1, wherein: The evaluating the public transportation operation status in the area according to the public transportation static index and the public transportation dynamic index comprises: Determine the bus line network supply parameters in the area according to the bus static indicators; When the bus network supply parameter is higher than a predetermined threshold, the bus congestion section in the area is determined according to the bus dynamic index.

3. The method according to claim 1, wherein: The public transportation dynamic index also includes at least one of the following indicators: The headway time of public transport vehicles at each station on the route, the average speed of public transport vehicles between stations on the route, and the variance of the average speed of public transport vehicles at each station on the route.

4. The method according to any one of claims 1 to 3, wherein: The public transportation static indicators include at least one of the following indicators: station coverage area, station coverage rate, rail transit station connection rate, total number of bus lines, total length of bus lines, total length of bus line network, bus line repetition coefficient, bus line network coverage rate, bus line non-linear coefficient, average distance between bus lines, and total mileage of bus lanes.

5. The method according to any one of claims 1 to 3, wherein: The step of modifying the planning information of the operation sites and / or operation routes of the corresponding bus routes in the area according to the evaluation result of the bus operation status in the area includes: The planning information is modified according to the evaluation result and the static indicators of public transportation in the area.

6. A method for evaluating public transportation operation status, comprising: Determine the static indicators of public transportation in the area based on the operation station data and operation line data of the public transportation routes in the area; Determine the public transportation dynamic index in the area according to the operating route data; Evaluate the public transportation operation status in the area according to the public transportation static index and the public transportation dynamic index, The public transportation dynamic index at least includes a travel efficiency ratio between a public transportation vehicle and a non-public transportation vehicle between two stations in the area; wherein determining the travel efficiency ratio includes: Determine the average speed of the public transportation vehicle between the two stations according to the operating route data; Determine the average speed of the non-public transportation vehicle between the two sites according to the navigation map data, and collect the average speed of the non-public transportation vehicle passing through the two sites from the navigation map; The travel efficiency ratio is determined according to an average speed of the public transportation vehicle and an average speed of the non-public transportation vehicle.

7. A bus operation planning server, comprising: A data determination module is used to determine the operation station data and operation route data of the bus lines in the area according to the area to be planned included in the planning request after receiving the planning request; A static index determination module, used to determine the public transportation static index in the area according to the operation site data and the operation line data; A dynamic index determination module, used to determine the public transportation dynamic index in the area according to the operating line data; An operation status evaluation module, used for evaluating the operation status of the public transportation in the area according to the public transportation static index and the public transportation dynamic index; A planning information modification module is used to modify the planning information of the operating stations and / or operating routes of the corresponding bus routes in the area according to the evaluation results of the bus operation status in the area, The public transportation dynamic index at least includes a travel efficiency ratio between a public transportation vehicle and a non-public transportation vehicle between two stations in the area, wherein determining the travel efficiency ratio includes: Determine the average speed of the public transportation vehicle between the two stations according to the operating route data; Determine the average speed of the non-public transportation vehicle between the two sites according to the navigation map data, and collect the average speed of the non-public transportation vehicle passing through the two sites from the navigation map; The travel efficiency ratio is determined according to an average speed of the public transportation vehicle and an average speed of the non-public transportation vehicle.

8. A bus operation status evaluation server, comprising: A first determination module is used to determine the static indicators of public transportation in the area according to the operation station data and operation line data of the public transportation lines in the area; A second determination module is used to determine the public transportation dynamic index in the area according to the operating line data; An evaluation module is used to evaluate the public transportation operation status in the area according to the public transportation static index and the public transportation dynamic index, The public transportation dynamic index at least includes a travel efficiency ratio between a public transportation vehicle and a non-public transportation vehicle between two stations in the area, wherein the second determination module determines the travel efficiency ratio. Determining the travel efficiency ratio includes: Determine the average speed of the public transportation vehicle between the two stations according to the operating route data; Determine the average speed of the non-public transportation vehicle between the two sites according to the navigation map data, and collect the average speed of the non-public transportation vehicle passing through the two sites from the navigation map; The travel efficiency ratio is determined according to an average speed of the public transportation vehicle and an average speed of the non-public transportation vehicle.

9. A computer-readable storage medium having a computer program stored thereon, wherein: When the program is executed by a processor, the bus operation planning method according to any one of claims 1 to 5 and the bus operation status evaluation method according to claim 6 are implemented.

10. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the bus operation planning method according to any one of claims 1 to 5 and the bus operation status evaluation method according to claim 6 are implemented.

Citation Information

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