Public transportation service method, system, terminal and storage medium based on intelligent transportation

Abstract

The present application relates to the field of urban public transportation technology, and in particular to a bus service method, system, terminal and storage medium based on intelligent transportation, aiming to solve the defect that the dispatching method in the prior art ignores the road condition information of the vehicle, resulting in the difficulty of the vehicle to be on time. The technical solution is: a bus service method based on intelligent transportation, including pre-establishing a bus geographic information system; obtaining the train information of all bus routes in the city, and marking all the stations in the bus routes; obtaining real-time traffic data in the city, estimating the travel time between adjacent stations in the bus routes; adjusting the vehicle dispatching plan; obtaining the real-time driving status of the vehicle and the operation information of the on-board equipment; updating the vehicle dispatching plan. The present application has the effect of referring to the actual road condition information when dispatching the bus, so as to improve the rationality of the vehicle dispatching.

Description

Technical Field

[0001] The present application relates to the field of urban public transportation technology, and in particular to a public transportation service method, system, terminal and storage medium based on intelligent transportation. Background Art

[0002] Urban public transportation refers to buses and rail transit that operate on fixed routes within the city. The public transportation system is composed of physical elements such as access roads, transportation tools, and station facilities, and is the main way people travel in their daily lives.

[0003] Urban public transportation is a public welfare undertaking that meets the basic travel needs of the people. It is an important part of the transportation service industry, closely related to the production and life of the people, and inseparable from the operation of the city and economic development. It is a major livelihood project. Promoting the healthy development of the urban public transportation industry and ensuring the smooth and orderly operation of urban public transportation are crucial to promoting sustainable economic and social development, improving the urban living environment, promoting urban civilization, and protecting the basic travel rights and interests of the general public. With the advancement of science and technology, the public transportation service system has also been combined with a number of advanced technologies, which has greatly improved public transportation services and greatly facilitated people's lives.

[0004] Currently, common public transportation service systems mainly use global positioning technology, wireless communication technology, and geographic information technology. Real-time positioning of buses is achieved through global positioning technology and geographic information technology, and then real-time scheduling, monitoring and operation of buses is achieved through wireless communication technology.

[0005] With respect to the above-mentioned related technologies, the inventor believes that there is a defect in that the scheduling method in the related technologies only uses the geographic information of the vehicle as the basis for scheduling, while ignoring the road condition information of the vehicle during the operation of the bus, resulting in the defect that the vehicle is difficult to be on time. Summary of the invention

[0006] In order to refer to actual road condition information when dispatching public buses and improve the rationality of vehicle dispatch, the present application provides a public transportation service method, system, terminal and storage medium based on intelligent transportation.

[0007] In the first aspect, the present application provides a public transportation service method based on intelligent transportation, which adopts the following technical solutions:

[0008] A public transportation service method based on intelligent transportation, comprising:

[0009] Establish a public transportation geographic information system in advance, obtain geographic information related to urban transportation and store it in the public transportation geographic information system;

[0010] Obtain the bus information of all bus routes in the city, map the bus routes to the bus geographic information system according to the travel routes in the bus information, and mark all the stops on the bus routes;

[0011] Obtain real-time traffic data within the city and estimate the travel time between adjacent stops on the same bus route in the bus geographic information system based on the real-time traffic data;

[0012] Based on the travel time between adjacent stops on the same bus line and the specified interval between buses on the bus line, the dispatch plan for the next bus line is adjusted and sent to the corresponding vehicles;

[0013] Obtain the real-time driving status of the vehicle and the operation information of the on-board equipment;

[0014] Based on the real-time driving status of the vehicle and the operating information of the on-board equipment, the dispatch plan for the vehicles on the bus line is updated and sent to the vehicles in real time.

[0015] By adopting the above technical scheme, geographic information related to public transportation in the city is collected in advance and a public transportation geographic information system is proposed, which is helpful to obtain geographic information in the city, facilitate the dispatch of public transportation vehicles according to geographic information, and improve the rationality of public transportation dispatch; marking the stations according to the vehicle's driving route is conducive to intuitively grasping the distance between stations, which is convenient for providing reference for the dispatch of public transportation vehicles. Referring to real-time traffic data during the dispatch process is conducive to improving the accuracy of vehicle dispatch plans and enhancing the conformity of dispatch plans with actual traffic conditions; real-time detection and collection of vehicle driving status and operating information of on-board equipment during vehicle driving is conducive to making the dispatch plan conform to the vehicle driving status and equipment status, enhancing the safety of the dispatch plan, and ultimately achieving full enhancement of the dispatch efficiency of the transportation capacity of the urban public transportation service system and improving the quality of public transportation services.

[0016] Optionally, the method further includes obtaining the bus number information of all bus routes in the city, mapping the bus routes to a bus geographic information system according to the travel routes in the bus number information, and marking all the stations in the bus routes, and then:

[0017] Mark the key buildings that the bus routes pass through, including schools, hospitals, commercial centers and other buildings that have an impact on the traffic environment;

[0018] Then the factors affecting traffic conditions of the marked key buildings are added to the public transportation geographic information system.

[0019] By adopting the above technical solution, in addition to marking the stations on the bus routes, the key buildings on the bus routes are also marked, which is beneficial for referring to the distance between stations and the traffic conditions of key buildings when predicting the travel time between stations, which is beneficial for improving the accuracy of the travel time prediction results and facilitating enhancing the efficiency of scheduling within the bus resources of the bus service system.

[0020] Optionally, the method further comprises: obtaining real-time traffic data in the city, estimating the travel time between adjacent stops on the same bus line in a bus geographic information system based on the real-time traffic data, and then:

[0021] A correction value is added to the estimated result of the travel time between adjacent stops on the same bus line, and the correction value includes a positive value and a negative value.

[0022] By adopting the above technical scheme, a correction value is added to the final predicted driving time, so that the time prediction result forms a floating time interval, which is conducive to improving the possibility of the prediction result being consistent with the actual driving time, and is conducive to enhancing the accuracy of the driving time prediction, and is conducive to improving the experience of the service recipients in the public transportation service system. The correction value includes both positive and negative values, which is conducive to meeting the two situations of good road conditions during driving, resulting in shortened driving time, or poor road conditions, resulting in extended driving time, further improving the rationality of the driving time prediction result.

[0023] Optionally, the real-time traffic data in the city is obtained, and the travel time between adjacent stops in the same bus line is estimated in a bus geographic information system based on the real-time traffic data, wherein after obtaining the real-time traffic data in the city, the method further includes:

[0024] Filter and remove real-time traffic data that is not relevant to all bus routes in the city;

[0025] The real-time traffic data specifically includes road traffic volume data, intersection traffic volume data, road intersection information, traffic commander information, and commander work status information.

[0026] By adopting the above technical solution, real-time traffic data that is not related to all bus routes in the city is screened and cleared, which is beneficial to reducing the data volume of real-time traffic data, helping to improve the data processing efficiency in the bus service system, and accelerating the response speed of the bus service system. At the same time, real-time traffic data will only be screened and cleared when it is not related to all bus routes, ensuring the integrity of the association between real-time traffic data and bus routes, thereby reducing the possibility of data missing when analyzing bus routes.

[0027] Optionally, based on the travel time between adjacent stops on the same bus line and the prescribed interval between buses on the bus line, the scheduling plan for the next bus shift on the bus line is adjusted and sent to the corresponding vehicle, wherein:

[0028] The adjustment and dispatching plan specifically includes: increasing the number of bus trips on the corresponding routes, reducing the number of bus trips on the corresponding routes, increasing the departure interval time between adjacent trips on the corresponding routes, and reducing the departure interval time between adjacent trips on the corresponding routes.

[0029] By adopting the above technical scheme, the need to supplement or reduce the number of buses on the bus routes is fully met, which is conducive to reducing the possibility of investing excess capacity in the bus routes while meeting the service quality of the bus service system, and is conducive to improving the utilization rate of the capacity in the bus routes; increasing or decreasing the departure interval of vehicle schedules is conducive to improving the punctuality rate of vehicle schedules in the bus routes, thereby facilitating improving the experience of passengers.

[0030] Optionally, based on the real-time driving status of the vehicle and the operation information of the on-board equipment, the dispatching plan of the vehicles on the bus line is updated and sent to the vehicles in real time, wherein;

[0031] The updated scheduling plan specifically includes: extending the stop time of a vehicle at a certain station, canceling the stop of a vehicle at a certain station, canceling the operation of a vehicle, etc.

[0032] By adopting the above technical scheme, it is convenient to extend the vehicle's stop time when the passenger boarding and alighting flow is large, which helps to improve the safety of public transportation services; canceling the vehicle stop when the vehicle is fully loaded and no one is getting off the vehicle helps to save the travel time of the public transportation vehicle and reduce the possibility of personal injury when the vehicle is fully loaded; canceling excess vehicle schedules when the running schedules on the bus route meet the arrival time intervals of each station and the travel needs of passengers, which helps to improve the utilization efficiency of vehicle capacity in the public transportation service system and reduce the possibility of waste of capacity.

[0033] In a second aspect, the present application provides a smart terminal, which adopts the following technical solution:

[0034] An intelligent terminal comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute the above method.

[0035] By adopting the above technical solution, the processor in the smart terminal can implement the above-mentioned bus service method based on intelligent transportation according to the relevant computer program stored in the memory, and then provide a reasonable and accurate scheduling plan for the bus service system in the city, which is conducive to enhancing the rationality of capacity scheduling within the bus system and ultimately improving the service quality of the bus service system.

[0036] In the third aspect, the present application provides a public transportation service system based on intelligent transportation, which adopts the following technical solutions:

[0037] A public transportation service system based on an on-board intelligent terminal, comprising:

[0038] The bus service center module as described above, which serves as a terminal and platform, receives and processes the information sent related to the bus service, and centrally dispatches the bus service system in the city;

[0039] The vehicle-mounted intelligent terminal module is used to collect and process the vehicle's own equipment information, and at the same time realize data exchange with the bus service center module through the remote communication interface;

[0040] The on-board equipment module assists the vehicle in realizing the basic functions and extended functions of the public transportation service, and detects the running status of the vehicle at the same time.

[0041] By adopting the above technical solutions, the bus service center module provides the bus service system with the functions of terminal and platform, realizes the dynamic balance between bus capacity and volume, improves the operation efficiency and service level of the bus, and realizes centralized and real-time dispatch by equipping with flexible transport capacity, thereby achieving the effect of improving vehicle punctuality. The on-board intelligent terminal module realizes the collection and processing of vehicle status information, and exchanges data with the bus service center module, which is conducive to improving the concentration of information flow within the system, thereby improving information processing efficiency; the on-board equipment module detects the operating status of the vehicle and assists the bus service system to complete the bus service, thereby improving the safety of the vehicle and the riding experience.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0043] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above method.

[0044] By adopting the above technical solution, the corresponding program can be stored, thereby providing a reasonable and accurate scheduling plan for the public transportation service system in the city, which is conducive to enhancing the rationality of capacity scheduling in the public transportation system and ultimately improving the service quality of the public transportation service system.

[0045] In summary, the present application includes at least one of the following beneficial technical effects:

[0046] 1. Collecting geographic information related to public transportation in the city in advance and proposing a public transportation geographic information system is helpful for obtaining geographic information in the city, facilitating the dispatch of public transportation vehicles based on geographic information, and improving the rationality of public transportation dispatch; marking stations according to the vehicle's driving route is conducive to intuitively grasping the distance between stations, facilitating reference for the dispatch of public transportation vehicles, and referring to real-time traffic data during the dispatch process is conducive to improving the accuracy of vehicle dispatch plans and enhancing the conformity of dispatch plans with actual traffic conditions; real-time detection and collection of vehicle driving status and on-board equipment operating information during vehicle driving is conducive to making the dispatch plan conform to the vehicle driving status and equipment status, enhancing the safety of the dispatch plan, and ultimately achieving full enhancement of the dispatch efficiency of the transportation capacity of the urban public transportation service system and improving the quality of public transportation services;

[0047] 2. Filtering and clearing real-time traffic data that is not related to all bus routes in the city is conducive to reducing the amount of real-time traffic data, helping to improve the data processing efficiency in the bus service system and speeding up the response speed of the bus service system. At the same time, only when the real-time traffic data is not related to all bus routes will it be filtered and cleared, ensuring the integrity of the association between real-time traffic data and bus routes, thereby reducing the possibility of data missing when analyzing bus routes;

[0048] 3. The bus service center module provides the bus service system with terminals and platforms, realizes the dynamic balance between bus capacity and volume, improves the bus operation efficiency and service level, and realizes centralized and real-time dispatch by equipping with flexible transport capacity, thus achieving the effect of improving vehicle punctuality. The on-board intelligent terminal module realizes the collection and processing of vehicle status information, and exchanges data with the bus service center module, which is conducive to improving the concentration of information flow within the system, thereby improving information processing efficiency; the on-board equipment module detects the operating status of the vehicle and assists the bus service system to complete the bus service, improving the safety of the vehicle and the riding experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a flowchart of a bus service method based on intelligent transportation shown in an embodiment of the present application;

[0050] Figure 2 It is a system block diagram of a public transportation service system based on intelligent transportation shown in an embodiment of the present application.

[0051] Explanation of the accompanying drawings: 1. Bus service center module; 11. Bus dispatching system submodule; 12. External release platform submodule; 13. Equipment management platform submodule; 2. On-board intelligent terminal module; 21. Terminal system submodule; 22. Terminal tool submodule; 23. Terminal business submodule; 3. On-board equipment module; 4. Communication platform module. DETAILED DESCRIPTION

[0052] The following is combined with Figure 1-2 This application is described in further detail.

[0053] The present application embodiment discloses a public transportation service method based on intelligent transportation. Figure 1 , a bus service method based on intelligent transportation, comprising the following steps:

[0054] S100, pre-establishing a public transportation geographic information system, acquiring geographic information related to urban transportation and storing it in the public transportation geographic information system;

[0055] Geographic information specifically includes:

[0056] Spatial information, such as traffic zoning maps, road network maps, facility distribution maps, etc.;

[0057] Attribute information, such as traffic zone attribute data, road network attribute data, traffic flow, road grade, road surface conditions, image data, etc.;

[0058] S200, obtaining the bus number information of all bus routes in the city, mapping the bus routes to the bus geographic information system according to the travel routes in the bus number information, and marking all the stops on the bus routes;

[0059] S201. Then, the key buildings that the bus route passes through are marked. The marking of key buildings is distinguished from the marking of bus stops. Key buildings include: schools, hospitals, commercial centers and other buildings that have an impact on traffic conditions. Then, the attributes of the marked key buildings that have an impact on traffic conditions are also stored in the bus geographic information system.

[0060] S300, obtaining real-time traffic data in the city;

[0061] Among them, real-time traffic data specifically includes road traffic data, intersection traffic data, road intersection information, traffic commander information, commander work status information, etc.

[0062] S301, then obtain the real-time traffic data in the city, filter the geographic information corresponding to the real-time traffic data, and remove all the real-time traffic data in the city that are not related to all bus routes;

[0063] S302, estimating the travel time between adjacent stops on the same bus line in the bus geographic information system based on real-time traffic data:

[0064] The method for predicting the time of vehicles between adjacent stops on the same bus line is to calculate the route distance between two adjacent stops, and calculate the average travel time of vehicles on this section of road in combination with real-time traffic data. The calculation steps are as follows:

[0065] (A) The route distance of the vehicle between two adjacent stations is divided into the regular driving area and the station stop area, and then the road resistance function models of the station stop area and the regular driving area are calculated respectively. The calculation formulas are as follows:

[0066] (a) Stop area:

[0067]

[0068] Among them, t is the average driving time of vehicles in the station parking area, is a parameter to be determined, is the utilization coefficient of the i-th lane in the station parking area, i is a natural number greater than 0, used to represent the sequence number of the lane, is the utilization coefficient of the outermost lane in the station stop area, c is the traffic capacity of the regular traffic in the station stop area, is the travel time of free traffic in the station stop area, is the hourly traffic volume in the station’s parking area, The time that buses occupy the outermost lane every hour in the station's stop area. is the average number of bus stops per hour in the station's staging area;

[0069] (b) Regular driving area:

[0070]

[0071] in, , is a parameter to be determined, is the average driving time of vehicles in the regular driving area, is the traffic capacity of normal traffic in normal driving area. is the travel time of free traffic in the regular driving area, The hourly traffic volume of the station's staging area;

[0072] Where c is the actual traffic capacity of the road section, and the specific calculation formula is:

[0073]

[0074] Indicates the theoretical traffic capacity of a single lane of the road section, with a value range of 1400pcu / h-2000pcu / h. For details, please refer to the relevant planning document of the road section;

[0075] The correction coefficient for the impact of non-motor vehicles on the road section: The value is 1, when there is no machine-non-machine separation zone The value is 0.8;

[0076] The lane width correction factor for this road section: Less than or equal to 3.5m ; When lane width When it is larger than 3.5m ;

[0077] is the correction coefficient for the number of lanes in the road section, which is equal to the sum of the utilization coefficients of each lane. The values ​​of the utilization coefficients of each lane are as follows:

[0078] Lane position i (from outermost to innermost) 1 2 3 4 #timg# 1 0.87 0.73 0.6

[0079] is the intersection correction coefficient of the road section: when the intersection spacing s is less than or equal to 200m, ; When the distance s between adjacent intersections is greater than 200m, ,in is the green signal ratio of the intersection, and s is the distance between adjacent intersections.

[0080] The above parameters involving real-time or non-real-time traffic data are directly obtained from real-time traffic data or indirectly obtained through calculation. The above formula involves the BPR road resistance function, in which the punctuation method of the undetermined parameters is: the traffic data of the road section and the traffic capacity obtained by the above method are substituted into the corresponding road resistance function model, and then the set values ​​of the undetermined parameters are obtained by regression using IBM's SPSS software;

[0081] (B), then according to the vehicle travel time function of the station stop area and the regular travel area obtained in step (A), the vehicle travel time of each road section is calculated respectively;

[0082] (C) Finally, add the travel time in the regular driving area and the travel time in the station stop area, and apply -10% and +10% travel time correction values ​​to finally get the predicted travel time.

[0083] S400: Based on the travel time between adjacent stops on the same bus line and the specified interval between buses on the bus line, adjust the scheduling plan for the next bus line and send it to the corresponding vehicle;

[0084] Among them, the specific adjustments to the dispatching plan are: increasing the number of bus trips on the corresponding routes, reducing the number of bus trips on the corresponding routes, increasing the departure interval time between adjacent trips on the corresponding routes, and reducing the departure interval time between adjacent trips on the corresponding routes.

[0085] S500, obtaining the real-time driving status of the vehicle and the operation information of the vehicle-mounted equipment;

[0086] The vehicle driving status includes the vehicle passenger capacity, etc.; the operation information of the on-board equipment includes a variety of sensors for detecting the vehicle operating status.

[0087] S600: Based on the real-time driving status of the vehicle and the operation information of the on-board equipment, the dispatching plan of the vehicle on the bus line is updated and sent to the vehicle in real time;

[0088] The updated scheduling plan specifically includes: extending the stop time of a vehicle at a certain station, canceling the stop of a vehicle at a certain station, canceling the operation of a vehicle, etc.

[0089] The embodiment of the present application further discloses an intelligent terminal, which includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes the above-mentioned intelligent transportation-based public transportation service method.

[0090] Based on the above method and intelligent terminal, the embodiment of the present application also discloses a public transportation service system based on intelligent transportation, referring to Figure 2 ,include:

[0091] The bus service center module 1, as a terminal and platform, receives and processes the information sent related to bus services, and centrally dispatches the bus service system in the city; specifically includes: bus dispatching system, external publishing platform and equipment management platform, etc.

[0092] The bus dispatching system submodule 11 realizes the dynamic balance between bus capacity and volume, and realizes centralized and real-time bus dispatching;

[0093] The external publishing platform submodule 12 provides real-time public transportation information to facilitate citizens to arrange travel plans;

[0094] The device management platform submodule 13 monitors the device operation status, obtains device information in real time, and provides a means of supervising the device.

[0095] The vehicle-mounted intelligent terminal module 2 is used to collect and process the vehicle's own equipment information, and at the same time realize data exchange with the bus service center module through the remote communication interface; specifically includes:

[0096] The terminal system submodule 21 is used to provide a variety of predefined application program interfaces to facilitate the connection between the user and the terminal hardware;

[0097] The terminal tool submodule 22 is used to encapsulate the common functions of the vehicle terminal, including various drivers, communication control and data operations;

[0098] The terminal service submodule 23 is used to encapsulate a variety of different service functions, and the service functions include service modules and service data.

[0099] The vehicle-mounted equipment module 3 assists the vehicle in realizing the basic functions and extended functions of the public transportation service, and detects the vehicle's operating status at the same time.

[0100] The communication platform module 4 is used to provide the communication function between the vehicle terminal and the dispatch center, and the data exchange with other business platforms.

[0101] The embodiment of the present application also discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute the above-mentioned bus service method based on intelligent transportation. The computer-readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0102] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit the protection scope of the application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

Claims

1. A public transportation service method based on intelligent transportation, characterized in that: include Establish a public transportation geographic information system in advance, obtain geographic information related to urban transportation and store it in the public transportation geographic information system; Obtain the bus information of all bus routes in the city, map the bus routes to the bus geographic information system according to the travel routes in the bus information, and mark all the stops on the bus routes; Obtain real-time traffic data within the city and estimate the travel time between adjacent stops on the same bus route in the bus geographic information system based on the real-time traffic data; Based on the travel time between adjacent stops on the same bus line and the specified interval between buses on the bus line, the dispatch plan for the next bus line is adjusted and sent to the corresponding vehicles; Obtain the real-time driving status of the vehicle and the operation information of the on-board equipment; Based on the real-time driving status of the vehicle and the operating information of the on-board equipment, the dispatch plan of the vehicles on the bus line is updated and sent to the vehicles in real time; The calculation steps for estimating the travel time between adjacent stops on the same bus line in the bus geographic information system based on real-time traffic data are as follows: (A) The route distance of the vehicle between two adjacent stations is divided into a regular driving area and a station stop area, and then the road resistance function models of the station stop area and the regular driving area are calculated respectively. The calculation formulas are as follows: (a) Stop area: Among them, t is the average driving time of vehicles in the station parking area, α, λ, β are unknown parameters, and r i is the utilization coefficient of the i-th lane in the station parking area, i is a natural number greater than 0, used to represent the sequence number of the lane, r b is the utilization coefficient of the outermost lane in the station stop area, c is the traffic capacity of the regular traffic in the station stop area, t s is the travel time of free traffic in the station stop area, is the hourly traffic volume in the station stop area, t0 is the time per hour that the bus occupies the outermost lane in the station stop area, is the average number of bus stops per hour in the station's staging area; (b) Regular driving area: Among them, α′ and β′ are unknown parameters, t′ is the average driving time of vehicles in the regular driving area, c′ is the traffic capacity of regular traffic in the regular driving area, and t s ′ is the travel time of free traffic in the regular driving area, The hourly traffic volume of the station's staging area; (B) calculating the vehicle travel time of each road section according to the vehicle travel time function of the station stop area and the regular travel area obtained in step (A); (C) Add the travel time in the regular travel area and the travel time in the station stop area, and apply travel time correction values ​​of -10% and +10% to finally obtain the predicted travel time; The real-time traffic data includes: road traffic volume data, intersection traffic volume data, road intersection information, traffic commander information, and commander work status information; The specific adjustment of the dispatching plan is: increase the number of bus trips on the corresponding routes, reduce the number of bus trips on the corresponding routes, increase the departure interval between adjacent trips on the corresponding routes, and reduce the departure interval between adjacent trips on the corresponding routes; The updated dispatching plan specifically includes: extending the vehicle's stop time at a certain station, canceling the vehicle's stop at a certain station, and canceling the vehicle's operation; The method further comprises: obtaining the bus number information of all bus routes in the city, mapping the bus routes to the bus geographic information system according to the travel routes in the bus number information, and marking all the stops in the bus routes, and then marking the key buildings passed by the bus routes, wherein the key buildings include schools, hospitals, and commercial centers that have an impact on the traffic environment; and then adding the impact factors of the marked key buildings on the traffic conditions to the bus geographic information system; The method further comprises obtaining real-time traffic data in the city, estimating the travel time between adjacent stops in the same bus line in a bus geographic information system based on the real-time traffic data, and then adding a correction value to the estimated result of the travel time between adjacent stops in the same bus line, wherein the correction value includes a positive value and a negative value.

2. The public transportation service method based on intelligent transportation according to claim 1, characterized in that: The real-time traffic data in the city is obtained, and the travel time between adjacent stops in the same bus line is estimated in the bus geographic information system based on the real-time traffic data, wherein after obtaining the real-time traffic data in the city, the following is further included: Filter and remove real-time traffic data that is not relevant to all bus routes in the city; The real-time traffic data specifically includes road traffic volume data, intersection traffic volume data, road intersection information, traffic commander information, and commander work status information.

3. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes the method according to any one of claims 1 to 2.

4. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method as claimed in any one of claims 1 to 2.

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