An intelligent bus line network diagnosis and scheduling system

Abstract

The present invention relates to the field of public transportation technology, and more specifically, to an intelligent bus line network diagnosis and scheduling system. The system includes an intelligent bus dispatching system, wherein the intelligent bus dispatching system includes: a bus-mounted system, including a vehicle-mounted mobile communication terminal, a camera, and a passenger flow information collection device; used to collect vehicle location information and operation status information in real time, comprehensively monitor the vehicle's operating status, and count the number of passengers getting on and off the vehicle in real time and send it to the bus dispatching system; a bus station system, used for station passenger flow statistics, station monitoring, bus information query, arrival pre-announcement, multimedia voice, station monitoring services, and sending the station information to the bus dispatching system; a bus station system, including a bus parking lot and a large screen of a bus command center; a bus dispatching system, including a dispatching management platform and a customized bus service mobile terminal.

Description

Technical Field

[0001] The present invention relates to the field of public transportation technology, and more specifically, to an intelligent public transportation network diagnosis and scheduling system. Background Art

[0002] At present, the evaluation or diagnosis system in the public transportation industry mainly evaluates the public transportation operation plan from aspects such as passenger satisfaction and the operating cost of the public transportation operating unit. The selected evaluation or diagnosis indicators are still limited to the current bus network, bus routes and bus stops, and cannot be effectively applied to the actual public transportation operation, and cannot bring substantial benefits to passengers and bus operating units.

[0003] Scientific and reasonable diagnosis and re-arrangement of bus operation dispatching are of great practical significance to improving the public transportation service quality of intelligent bus systems, enhancing passenger flow attraction, and promoting a virtuous cycle of public transportation development for passengers. According to the results of the diagnosis, the weak links of the existing bus operation plan can be adjusted and improved, which is conducive to improving the level of bus service management, thereby increasing the economic and social benefits of bus operating units. It also has great practical significance for bus operating units. Summary of the invention

[0004] In order to better solve the above problems, the present invention provides an intelligent bus line network diagnosis and scheduling system, which includes an intelligent bus dispatching system, wherein the intelligent bus dispatching system includes:

[0005] The bus onboard system includes onboard mobile communication terminals, cameras, and passenger flow information collection equipment; it is used to collect vehicle location information and operation status information in real time, comprehensively monitor the vehicle's operating status, and count the number of passengers getting on and off the vehicle in real time and send it to the bus dispatching system; the onboard system also includes an electronic payment subsystem, an onboard video subsystem, a convenient passenger guidance subsystem, a dispatching subsystem, a 360-degree surround view subsystem, an active safety warning subsystem, and other modules;

[0006] The bus station system includes electronic bus stop signs and video surveillance equipment; it is used for passenger flow statistics, station monitoring, bus information query, arrival pre-announcement, multimedia voice, station monitoring services, and sends station information to the bus dispatch system;

[0007] The bus station system includes a bus parking lot and a large screen in the bus command center. The large screen in the bus command center is used for large-screen display of bus operations. The bus parking lot is used for video monitoring equipment and inter-station networking equipment and sends station system information to the bus dispatching system. The system also includes AR panoramic monitoring, thermal imaging temperature monitoring, conventional monitoring system, and display and control subsystem.

[0008] The bus dispatching system includes a dispatching management platform and a customized bus service mobile terminal; the customized bus service mobile terminal includes a passenger service mobile terminal and an operator mobile terminal, which are used to customize bus travel services;

[0009] The dispatch management platform is used to receive data from the vehicle subsystem, passenger service mobile terminal, bus station system, and bus platform system. It formulates driving plans and timetables, monitors the vehicle operation process in real time according to the vehicle operation plan; performs holographic perception and multi-source integration of vehicle dynamic information; drives the closed loop of bus monitoring-diagnosis-optimization-evaluation business management based on visual means, and displays a series of bus business data on a large visual screen;

[0010] 4G / 5G mobile communication network is used to provide wireless communication network for bus onboard systems, bus dispatching systems, bus stop systems, and bus terminal systems.

[0011] Furthermore, the vehicle dynamic information includes basic data of public buses, routes, stations, operators, GPS, scheduling, and income and expenditure.

[0012] Furthermore, the customized public transportation travel service includes an App and / or mini-program for passenger service mobile terminals and an App for operators; realizes customized public transportation travel information service capabilities, including passenger-side services, operator-side services, operation settlement monitoring and analysis, occupancy rate, and station passenger flow;

[0013] Furthermore, the bus information query includes route, station, schedule, and transfer information query; the bus command center large screen includes an LED display system, an image and audio processing system, and a transmission control system.

[0014] The present invention also provides an intelligent bus line network diagnosis and arrangement method, comprising the following steps:

[0015] S1. The dispatch management platform in the intelligent bus dispatch system collects the required relevant static and dynamic data through the vehicle system, passenger service mobile terminal, bus station system, and bus station system;

[0016] S2. The data center module in the scheduling management platform designs the basic database and business database based on the collected static and dynamic data, and builds a multi-dimensional diagnosis and evaluation indicator system through the basic data and business data;

[0017] S3. The data center module in the dispatching management platform constructs the line network diagnosis index according to the diagnosis and evaluation index system, and uses the line network operation index as the comprehensive diagnosis and evaluation index;

[0018] S4. Calculate the travel convenience statistics of the bus network; starting from the travel convenience of the entire bus network, analyze the rationality of the overall layout of the bus network through the 500-meter coverage rate of bus stops, line network density, line repetition coefficient, and line non-linear coefficient indicators;

[0019] S5. Calculate the statistics of inefficient lines in the network α2; starting from the rapidity of bus operation, analyze the operation of bus lines through the morning and evening peak operating speeds, and find out the inefficient lines;

[0020] S6. Calculate the statistic of the proportion of saturated lines in the line network α3; starting from the saturation of bus operation, analyze the matching status of the capacity and volume of operating bus lines through the line network passenger flow, line passenger flow, station passenger flow, and the average congestion index representing the morning and evening peaks, and find out the saturated lines;

[0021] S7. Calculate the proportion statistic of low reliability lines α4; starting from the reliability of bus operation, analyze the deviation between the bus operation plan and the actual situation through the departure punctuality rate, the schedule execution rate, and the passenger waiting time, and find out the lines with low reliability;

[0022] S8. According to the network travel convenience, the proportion of inefficient lines, the proportion of saturated lines, and the proportion of low reliability lines, a linear comprehensive score is calculated to solve the network operation index.

[0023] β=(1-((1-α1)+Σα i ))

[0024] Where: β is the line network operation index; when β>=ω, ω is 0.6-0.8, the line network is diagnosed as normal operation; directly jump to S10; otherwise jump to S9;

[0025] S9. The data center module in the dispatch management platform makes adjustments to the line network operation arrangement and pre-diagnosis based on the diagnosis results;

[0026] S10. The dynamic database in the dispatching management platform records the line network diagnosis results; the static database records the line network operation scheduling strategy information, which is valid for 3 months. The next line network diagnosis and rescheduling will be started after 3 months.

[0027] Further, the S1 includes:

[0028] S11. The data center module in the dispatching management platform organizes and classifies the static data of bus operations;

[0029] S12. The data center module in the dispatching management platform organizes and classifies the dynamic data of bus operations.

[0030] The static data includes driver information, bus route data, bus route schedule data, bus stop data, bus station data, bus vehicle details, and urban road information data;

[0031] Dynamic data includes passenger flow data at each bus stop, real-time dispatch data of bus line operating vehicles, data of each bus station, bus operation status data, and safety accident data of bus lines;

[0032] The S2 includes:

[0033] S21. The basic database includes bus routes, buses, bus stops, and bus station location data;

[0034] S22. The business database includes operation plan management, bus positioning, bus dispatching, and bus station passenger flow information data;

[0035] S23. Diagnostic evaluation index system: including line network performance indicators, operation service indicators, passenger travel indicators, and safety management indicators. Among them, line network performance indicators include bus line network length, line network density, line operation length, non-linear coefficient, line repetition coefficient, dedicated lane ratio, and 500-meter coverage rate of stations; operation service indicators mainly include schedule execution rate, departure punctuality rate, morning and evening peak speed, and mileage utilization rate; passenger travel indicators include line passenger flow, station passenger flow, line effective passenger flow, and station effective passenger flow; safety management indicators include the number of accidents (per 100 kilometers) and the number of traffic violations.

[0036] Further, the S4 includes:

[0037] S41. Define the set of lines with overlapping stations as a line network unit ε={ε1,ε2,ε3,…ε n};

[0038] S42. Calculate the travel convenience α1 of each line network unit. When the travel convenience of the line network is less than a certain threshold, it is a weak area of ​​the line network layout.

[0039]

[0040] Where: γ i is the wire mesh unit ε i Travel convenience value evaluation score;

[0041] δ 1i Scoring for the 500-meter coverage of a site: When the 500-meter coverage of a site is >= 90%, δ 1i =1; otherwise δ 1i =0;

[0042] δ 2iLine network density evaluation score: When the line network density is greater than or equal to 4km / km^2, δ 2i =1; otherwise δ 2i =0;

[0043] δ 3i Score for line repetition coefficient evaluation: When the line repetition coefficient is greater than or equal to 2, δ 3i =1; otherwise δ 3i =0;

[0044] δ 4i Score for line nonlinear coefficient evaluation: When the nonlinear coefficient is <= 20%, δ 4i =1; otherwise δ 4i =0;

[0045] δ 5i Score for evaluating the proportion of dedicated lanes on the line: When the proportion of dedicated lanes is greater than or equal to 20%, δ 5i =1; otherwise δ 5i =0;

[0046] S43. When γ i <=3, then evaluate the line network unit ε i The inconvenient travel area of ​​the line network is calculated by counting the line mileage L in the inconvenient area. n , and the line mileage L in the entire line network, the line section coincides, and the mileage can be calculated repeatedly, then the statistical line network convenience α1 formula is as follows:

[0047]

[0048] Where: L n is the line mileage of the inconvenient network unit area in the line; L is the line mileage in the entire network.

[0049] Further, the S5 includes:

[0050] S51. Define all lines in the network as a set θ={θ1,θ2,θ3,…θ n};

[0051] S52. Calculate the inefficient operation evaluation score of each line Line θ i The average speed during the morning peak is V1; line θ i Average speed during evening peak hours V2

[0052] When V1≤15km / h and V2≤15km / h

[0053] other;

[0054] S53. Calculate the statistics of the proportion of inefficient lines in the network

[0055]

[0056] Where: n is the total number of lines in the line set in the network;

[0057] The S6 includes:

[0058] S61. Define all lines in the network as a set θ={θ1,θ2,θ3,…θ n};

[0059] S62. Calculate the multi-point passenger flow fluctuation value: randomly select θ j There are L stations k1, k2, ... k in the line L , and the peak period f (10 minutes per period, a total of 120 minutes), so that the passenger arrival rate in this period has a fluctuation value γ, the range of variation is 0<γ<1, then station k l and the passenger arrival rate of the characteristic period f fluctuates and becomes

[0060]

[0061] S63. When Then θ j For saturated lines, the evaluation score is θ j =1;

[0062] S64. Calculate the statistics of the proportion of lines in saturated operation in the network

[0063]

[0064] Where: n is the total number of lines in the line set in the network.

[0065] Further, the S7 includes:

[0066] S71. Define all lines in the network as a set θ={θ1,θ2,θ3,…θ n};

[0067] S72. When θ j Line departure punctuality rate Δ≤50%, shift execution rate During peak hours, the waiting time of passengers is T≥15min, then θ j For low reliability lines, the evaluation score is θ j =1;

[0068] S73. Calculate the statistics of the proportion of inefficient lines in the network

[0069]

[0070] Where: n is the total number of lines in the line set in the network.

[0071] Further, the S9 includes:

[0072] S91. According to the principle of increasing stations to increase travel convenience, modifying stations on inefficient lines, increasing train frequency on saturated lines, and canceling the top three lines on low-reliability lines, the line network operation strategy adjustment basis 1 is used as the adjustment basis of the operating unit;

[0073] S92. At the same time, passengers can use the route application function of the passenger service mobile app to apply for the opening of bus routes. The system can count the application frequency on a weekly basis based on the user's application content and determine the demand based on the positioning information, which will serve as the basis for adjusting the line network operation strategy 2, which is the basis for adjusting passenger demand;

[0074] S93. After the adjustment is completed according to S91 and S92, return to S4 to S8 to re-diagnose. When the diagnosis is normal, jump to S10; otherwise, jump to S9.

[0075] Beneficial effects of the present invention:

[0076] 1. The present invention uses the overall evaluation and benefit analysis of network performance indicators, operation service indicators, passenger travel indicators, and safety management indicators, and is not limited to the current bus network. Instead, it conducts a diagnostic evaluation of the effects of various line adjustment types such as extended lines, newly opened lines, cancelled lines, shortened lines, adjusted line directions, and merged lines in the bus operation network. There will be a targeted evaluation indicator system for each adjustment type, and the result export is supported. The diagnostic evaluation after bus line adjustment facilitates continuous tracking and evaluation of the actual effects of line network optimization, and continuously improves the line network optimization plan process.

[0077] 2. The present invention proposes a line network intelligent diagnosis and scheduling system, which comprehensively considers the core needs of passengers for public transportation services and the development needs of public transportation operating units, and establishes a bus line network diagnosis index system based on the dimensions of public transportation travel convenience, operation speed, operation saturation, and operation reliability as the criterion layer, forming a bus line operation index, objectively reflecting the comprehensive service capabilities and network health of the bus network development, and providing a decision-making basis for optimizing and adjusting bus lines. When optimizing and adjusting decisions, the constraints of the existing bus line network are broken, and the line stations in the line network are dynamically adjusted. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 An example diagram of the intelligent bus dispatching system is constructed;

[0079] Figure 2 This is an example diagram of the diagnostic evaluation indicator system at the criterion level;

[0080] Figure 3 This is an example diagram of the composition of the network operation index numbers;

[0081] Figure 4 Example diagram of functional flow for rearrangement of functional passenger after diagnosis. DETAILED DESCRIPTION

[0082] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0083] An intelligent bus line network diagnosis and scheduling system, the system includes an intelligent bus dispatching system, such as Figure 1 As shown, the intelligent public transportation dispatching system includes:

[0084] The bus-mounted system includes an on-board mobile communication terminal, a camera, and a passenger flow information collection device. It is used to collect vehicle location information and operating status information in real time, comprehensively monitor the vehicle's operating status, and count the number of passengers getting on and off the vehicle in real time and send it to the bus dispatching system. It facilitates the bus dispatching system to obtain the vehicle's operating status and vehicle location, as well as the vehicle's monitoring data and the number of passengers getting on and off the vehicle in real time, providing a data source for the diagnosis and arrangement of the bus dispatching system.

[0085] Specifically, the vehicle-mounted system also includes an electronic payment subsystem, an in-vehicle video subsystem, a convenience guide subsystem, a dispatch subsystem, a 360-degree surround view subsystem, an active safety warning subsystem, and other modules;

[0086] The bus station system includes electronic bus stop signs and video surveillance equipment; it is used for passenger flow statistics, station monitoring, bus information query, arrival pre-announcement, multimedia voice, station monitoring services, and sends station information to the bus dispatch system;

[0087] The bus station system includes a bus parking lot and a large screen in the bus command center. The large screen in the bus command center is used for large-screen display of bus operations. The bus parking lot is used for video monitoring equipment and inter-station networking equipment and sends station system information to the bus dispatching system. The system also includes AR panoramic monitoring, thermal imaging temperature monitoring, conventional monitoring system, and display and control subsystem.

[0088] The bus dispatching system includes a dispatching management platform and a customized bus service mobile terminal; the customized bus service mobile terminal includes a passenger service mobile terminal and an operator mobile terminal, which are used to customize bus travel services;

[0089] The dispatch management platform is used to receive data from the vehicle subsystem, passenger service mobile terminal, bus station system, and bus platform system. It formulates driving plans and timetables, monitors the vehicle operation process in real time according to the vehicle operation plan; performs holographic perception and multi-source integration of vehicle dynamic information; drives the closed loop of bus monitoring-diagnosis-optimization-evaluation business management based on visual means, and displays a series of bus business data on a large visual screen;

[0090] 4G / 5G mobile communication network is used to provide wireless communication network for bus onboard systems, bus dispatching systems, bus stop systems, and bus terminal systems.

[0091] Furthermore, the vehicle dynamic information includes basic data of public buses, routes, stations, operators, GPS, scheduling, and income and expenditure.

[0092] Furthermore, the customized public transportation travel service includes an App and / or mini-program for passenger service mobile terminals and an App for operators; realizes customized public transportation travel information service capabilities, including passenger-side services, operator-side services, operation settlement monitoring and analysis, occupancy rate, and station passenger flow;

[0093] Furthermore, the bus information query includes route, station, schedule, and transfer information query; the bus command center large screen includes an LED display system, an image and audio processing system, and a transmission control system.

[0094] The present invention also provides an intelligent bus line network diagnosis and scheduling method, such as Figure 4 As shown, the method is implemented based on the intelligent bus line network diagnosis and scheduling system, and includes the following steps:

[0095] S1. The dispatch management platform in the intelligent bus dispatch system collects the required relevant static and dynamic data through the vehicle system, passenger service mobile terminal, bus station system, and bus station system;

[0096] S2. The data center module in the scheduling management platform designs the basic database and business database based on the collected static and dynamic data, and builds a multi-dimensional diagnosis and evaluation indicator system through the basic data and business data;

[0097] S3. Data center module in the scheduling management platform, such as Figure 2 As shown, according to the diagnostic evaluation index system, the line network diagnostic index is constructed, and the line network operation index is used as the comprehensive diagnostic evaluation index;

[0098] S4. Calculate the travel convenience statistics of the bus network; starting from the travel convenience of the entire bus network, analyze the rationality of the overall layout of the bus network through the 500-meter coverage rate of bus stops, line network density, line repetition coefficient, and line non-linear coefficient indicators;

[0099] S5. Calculate the statistics of inefficient lines in the network α2; starting from the rapidity of bus operation, analyze the operation of bus lines through the morning and evening peak operating speeds, and find out the inefficient lines;

[0100] S6. Calculate the statistic of the proportion of saturated lines in the line network α3; starting from the saturation of bus operation, analyze the matching status of the capacity and volume of operating bus lines through the line network passenger flow, line passenger flow, station passenger flow, and the average congestion index representing the morning and evening peaks, and find out the saturated lines;

[0101] S7. Calculate the proportion statistic α4 of low reliability lines; starting from the reliability of bus operation, analyze the deviation between the bus operation plan and the actual situation through the departure punctuality rate, the schedule execution rate, and the passenger waiting time, and find out the lines with low reliability; among which the passenger waiting time represents the reliability of travel time and waiting time.

[0102] S8. Figure 3 As shown in the figure, according to the network travel convenience, the proportion of inefficient lines, the proportion of saturated lines, and the proportion of low reliability lines, a linear comprehensive score is obtained to solve the network operation index.

[0103] β=(1-((1-α1)+Σα i ))

[0104] Where: β is the line network operation index; when β>=ω, ω is 0.6-0.8, the line network is diagnosed as normal operation; directly jump to S10; otherwise jump to S9;

[0105] S9. The data center module in the dispatch management platform makes adjustments to the line network operation arrangement and pre-diagnosis based on the diagnosis results;

[0106] S10. The dynamic database in the dispatching management platform records the line network diagnosis results; the static database records the line network operation scheduling strategy information, which is valid for 3 months. The next line network diagnosis and rescheduling will be started after 3 months.

[0107] Further, the S1 includes:

[0108] S11. The data center module in the dispatching management platform organizes and classifies the static data of bus operations;

[0109] S12. The data center module in the dispatching management platform organizes and classifies the dynamic data of bus operations.

[0110] The static data includes driver information, bus route data, bus route schedule data, bus stop data, bus station data, bus vehicle details, and urban road information data;

[0111] Dynamic data includes passenger flow data at each bus stop, real-time dispatch data of bus line operating vehicles, data of each bus station, bus operation status data, and safety accident data of bus lines;

[0112] The S2 includes:

[0113] S21. The basic database includes bus routes, buses, bus stops, and bus station location data;

[0114] S22. The business database includes operation plan management, bus positioning, bus dispatching, and bus station passenger flow information data;

[0115] S23. Diagnostic evaluation index system: including line network performance indicators, operation service indicators, passenger travel indicators, and safety management indicators.

[0116] Among them, the line network performance indicators include bus line network length, line network density, line operation length, non-linear coefficient, line duplication coefficient, dedicated lane ratio, and 500-meter coverage rate of stations; the operation service indicators mainly include the schedule execution rate, departure punctuality rate, morning and evening peak speed, and mileage utilization rate; passenger travel indicators include line passenger flow, station passenger flow, line effective passenger flow, and station effective passenger flow; safety management indicators include the number of accidents (per 100 kilometers) and the number of traffic violations;

[0117] Specifically, the system adopts a variety of diagnostic evaluation indicator systems to conduct comprehensive diagnostic evaluations from the perspectives of line network performance, operational services, passenger travel, and safety management indicators. It is not limited to bus routes and bus stops, but can intuitively reflect the performance status of the line network, operational service data, passenger travel stop flow data, and safety management data. By making targeted adjustments to the weak links in the existing bus operation plans reflected in the diagnostic data, it is beneficial to improve the level of bus service management, enhance passenger flow attraction, and improve the performance and safety factor of the bus system.

[0118] Further, the S4 includes:

[0119] S41. Define the set of lines with overlapping stations as a line network unit ε={ε1,ε2,ε3,…ε n};

[0120] S42. Calculate the travel convenience α1 of each line network unit. When the travel convenience of the line network is less than a certain threshold, it is a weak area of ​​the line network layout.

[0121]

[0122] Where: γ i is the wire mesh unit ε iTravel convenience value evaluation score;

[0123] δ 1i Scoring for the 500-meter coverage of a site: When the 500-meter coverage of a site is >= 90%, δ 1i =1; otherwise δ 1i =0;

[0124] δ 2i Line network density evaluation score: When the line network density is greater than or equal to 4km / km^2, δ 2i =1; otherwise δ 2i =0;

[0125] δ 3i Score for line repetition coefficient evaluation: When the line repetition coefficient is greater than or equal to 2, δ 3i =1; otherwise δ 3i =0;

[0126] δ 4i Score for line nonlinear coefficient evaluation: When the nonlinear coefficient is <= 20%, δ 4i =1; otherwise δ 4i =0;

[0127] δ 5i Score for evaluating the proportion of dedicated lanes on the line: When the proportion of dedicated lanes is greater than or equal to 20%, δ 5i =1; otherwise δ 5i =0;

[0128] S43. When γ i <=3, then evaluate the line network unit ε i The inconvenient travel area of ​​the line network is calculated by counting the line mileage L in the inconvenient area. n , and the line mileage L in the entire line network, the line section coincides, and the mileage can be calculated repeatedly, then the statistical line network convenience α1 formula is as follows:

[0129]

[0130] Where: L n is the line mileage of the inconvenient network unit area in the line; L is the line mileage in the entire network.

[0131] Specifically, by calculating the travel convenience of the line network units, we can then calculate the statistical value of the line network convenience α1. The larger α1 is, the smaller the line network convenience is, and vice versa. α1 reflects the performance of the bus network and the rationality of its overall layout, providing a basis for re-arrangement and further improving the performance of the network.

[0132] Further, the S5 includes:

[0133] S51. Define all lines in the network as a set θ={θ1,θ2,θ3,…θ n};

[0134] S52. Calculate the inefficient operation evaluation score of each line Line θ i The average speed during the morning peak is V1; line θ i Average speed during evening peak hours V2

[0135] When V1≤15km / h and V2≤15km / h

[0136] other;

[0137] S53. Calculate the statistics of the proportion of inefficient lines in the network

[0138]

[0139] Where: n is the total number of lines in the line set in the network;

[0140] Specifically, the statistic α2 of the proportion of inefficiently operating lines in the line network reflects the overall operating efficiency of the line network. The larger α2 is, the lower the operating efficiency is, and vice versa.

[0141] The S6 includes:

[0142] S61. Define all lines in the network as a set θ={θ1,θ2,θ3,…θ n};

[0143] S62. Calculate the multi-point passenger flow fluctuation value: Randomly select θ j There are L stations k1, k2, ... k in the line L , and the peak period f (10 minutes per period, a total of 120 minutes), so that the passenger arrival rate in this period has a fluctuation value γ, the range of variation is 0<γ<1, then station k l and the passenger arrival rate of the characteristic period f fluctuates and becomes

[0144]

[0145] S63. When Then θ j For saturated lines, the evaluation score is θ j =1;

[0146] S64. Calculate the statistics of the proportion of lines in saturated operation in the network

[0147]

[0148] Where: n is the total number of lines in the line set in the network.

[0149] Specifically, the proportion of saturated lines in the network reflects the load of the entire network. At the same time, finding out the saturated lines in the network makes it easier to lock on the target and make adjustments.

[0150] Further, the S7 includes:

[0151] S71. Define all lines in the network as a set θ={θ1,θ2,θ3,…θ n};

[0152] S72. When θ j Line departure punctuality rate Δ≤50%, shift execution rate During peak hours, the waiting time of passengers is T≥15min, then θ j For low reliability lines, the evaluation score is θ j =1;

[0153] S73. Calculate the statistics of the proportion of inefficient lines in the network

[0154]

[0155] Where: n is the total number of lines in the line set in the network.

[0156] Specifically, the proportion of low-reliability lines directly reflects the reliability of the network. The higher the proportion, the lower the reliability of the network and the more urgent the need for adjustment. Conversely, the higher the reliability of the network, the smaller the need for adjustment.

[0157] Further, the S9 includes:

[0158] S91. According to the principle of increasing stations to increase travel convenience, modifying stations on inefficient lines, increasing train frequency on saturated lines, and canceling the top three lines on low-reliability lines, the line network operation strategy adjustment basis 1 is used as the adjustment basis of the operating unit;

[0159] S92. At the same time, passengers can use the route application function of the passenger service mobile app to apply for the opening of bus routes. The system can use the user's application content, count the application frequency on a weekly basis, and determine the demand based on positioning information, etc., as the basis for adjusting the line network operation strategy 2, which is the basis for adjusting passenger demand;

[0160] S93. After the adjustment is completed according to S91 and S92, return to S4 to S8 to re-diagnose. When the diagnosis is normal, jump to S10; otherwise, jump to S9.

[0161] Specifically, since passenger demand changes over time, weekly statistics are conducted to timely grasp changes in passenger demand. The dispatching management platform is adjusted according to passenger demand, which enhances passenger flow attraction, improves passenger efficiency, and promotes the healthy development of public transportation for passengers. At the same time, the dispatching management platform is adjusted according to the operating conditions of the line network to improve the vehicle utilization rate of buses and enhance the economic benefits of bus operations.

[0162] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0163] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0164] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent bus network diagnosis and scheduling system, characterized in that ,The system includes an intelligent bus dispatching system, wherein the intelligent bus dispatching system includes: The bus system includes a mobile communication terminal, a camera, and a passenger flow information collection device. It is used to collect vehicle location information and operation status information in real time, monitor the vehicle's operation status, and count the number of passengers getting on and off the vehicle in real time and send it to the bus dispatch system. The bus system also includes an electronic payment subsystem, an on-board video subsystem, a convenient passenger guidance subsystem, a dispatch subsystem, a 360-degree surround view subsystem, and an active safety warning subsystem. The bus station system includes electronic bus stop signs and video surveillance equipment; it is used for passenger flow statistics, station monitoring, bus information query, arrival pre-announcement, multimedia voice, station monitoring services, and sends station information to the bus dispatch system; The bus station system includes a bus parking lot and a large screen in the bus command center. The large screen in the bus command center is used for large-screen display of bus operations. The bus parking lot is used for video monitoring equipment and inter-station networking equipment and sends station system information to the bus dispatching system. The system also includes AR panoramic monitoring, thermal imaging temperature monitoring, conventional monitoring system, and display and control subsystem. The bus dispatching system includes a dispatching management platform and a customized bus service mobile terminal; the customized bus service mobile terminal includes a passenger service mobile terminal and an operator mobile terminal, which are used to customize bus travel services; The dispatching management platform is used to receive data from the vehicle subsystem, passenger service mobile terminal, bus station system, and bus platform system; formulate driving plans and timetables, and monitor the vehicle operation process in real time according to the vehicle operation plan; perform holographic perception and multi-source integration of vehicle dynamic information; based on visual means, drive the closed loop of bus monitoring-diagnosis-optimization-evaluation business governance, and visualize bus business data on a large screen; The 4G / 5G mobile communication network is used to communicate and connect the bus onboard system, the bus dispatching system, the bus station system and the bus station system; the bus line network diagnosis and scheduling method of the intelligent bus line network diagnosis and scheduling system includes the following steps: S1. The dispatch management platform in the intelligent bus dispatch system collects the required relevant static and dynamic data through the vehicle system, passenger service mobile terminal, bus station system, and bus station system; S2. The data center module in the scheduling management platform designs the basic database and business database based on the collected static and dynamic data, and builds a multi-dimensional diagnosis and evaluation indicator system through the basic data and business data; S3. The data center module in the dispatching management platform constructs the line network diagnosis index according to the diagnosis and evaluation index system, and uses the line network operation index as the comprehensive diagnosis and evaluation index; S4. Calculate the travel convenience statistic α1 of the bus network. Starting from the travel convenience of the entire bus network, analyze the rationality of the overall layout of the bus network through the 500-meter coverage rate of bus stops, line network density, line repetition coefficient, and line non-linear coefficient indicators; S5. Calculate the statistics of inefficient lines in the network α2, and analyze the operation of bus lines based on the speed of bus operation during peak hours in the morning and evening to find out the inefficient lines; S6. Calculate the statistic of the proportion of saturated lines in the line network α3. Starting from the saturation of bus operation, analyze the matching status of the capacity and volume of operating bus lines through the line network passenger flow, line passenger flow, station passenger flow, and the average congestion index representing the morning and evening peaks, and find out the saturated lines; S7. Calculate the proportion statistic α4 of low reliability lines. Based on the reliability of bus operation, analyze the deviation between the bus operation plan and the actual situation through the departure punctuality rate, the frequency execution rate, and the passenger waiting time, and find out the lines with low reliability. S8. According to the network travel convenience, the proportion of inefficient lines, the proportion of saturated lines, and the proportion of low reliability lines, a linear comprehensive score is calculated to solve the network operation index. β＝(1-((1-α1)+∑α i ))， Among them, β is the line network operation index, α1 is the line network travel convenience statistic, ∑α i It is the sum of the statistic of the inefficient operation line α2, the statistic of the proportion of the saturated operation line α3 and the statistic of the proportion of the low reliability line α4. When β>=ω, ω takes the value of 0.6~0.8, it is diagnosed that the line network operation is normal, and it jumps directly to S10, otherwise it jumps to S9; S9. The data center module in the dispatch management platform makes adjustments to the line network operation arrangement and pre-diagnosis based on the diagnosis results; S10. The dynamic database in the dispatching management platform records the line network diagnosis results; the static database records the line network operation scheduling strategy information, which is valid for 3 months. After 3 months, the next line network diagnosis and rescheduling will be started.

2. The intelligent bus line network diagnosis and arrangement system according to claim 1 is characterized in that: The vehicle dynamic information includes basic data of public buses, routes, stations, operators, GPS, scheduling, and income and expenditure.

3. The intelligent bus line network diagnosis and arrangement system according to claim 1 is characterized in that: The customized public transportation travel service includes the passenger service mobile terminal App and / or mini program, and the operator App; Realize customized public transportation travel information service capabilities, including passenger-side services, operator-side services, operation settlement monitoring and analysis, occupancy rate, and station passenger flow.

4. The intelligent bus line network diagnosis and arrangement system according to claim 1 is characterized in that: The bus information query includes route, station, schedule, and transfer information query; the bus command center large screen includes an LED display system, an image and audio processing system, and a transmission control system.

5. The intelligent bus line network diagnosis and arrangement system according to claim 1 is characterized in that: The S1 includes: S11. The data center module in the dispatching management platform organizes and classifies the static data of bus operations; S12. The data center module in the dispatching management platform organizes and classifies the dynamic data of bus operations; The static data includes driver information, bus route data, bus route schedule data, bus stop data, bus depot data, bus vehicle details, and urban road information data; the dynamic data includes passenger flow data at each bus stop, real-time dispatch data of bus line operating vehicles, data of each bus depot, bus operation status data; and bus operation route safety accident data; the S2 includes: S21. The basic database includes bus routes, buses, bus stops, and bus station location data; S22. The business database includes operation plan management, bus positioning, bus dispatching, and bus station passenger flow information data; S23. Diagnostic evaluation index system: including line network performance indicators, operation service indicators, passenger travel indicators, and safety management indicators; Among them, the line network performance indicators include the length of the bus line network, line network density, line operating length, non-straightness coefficient, line repetition coefficient, proportion of dedicated lanes, and 500-meter coverage rate of stations; the operating service indicators mainly include the schedule execution rate, departure punctuality rate, morning and evening peak speeds, and mileage utilization rate; passenger travel indicators include line passenger flow, station passenger flow, line effective passenger flow, and station effective passenger flow; safety management indicators include the number of accidents and the number of traffic violations.

6. The intelligent bus line network diagnosis and arrangement system according to claim 1 is characterized in that: The S4 includes: S41. Define the set of lines with overlapping stations as a line network unit ε={ε1,ε2,ε3,…ε n }; S42. Calculate the travel convenience statistic α1 for each network unit. When the network travel convenience is less than a certain threshold, it is a weak area in the network layout. ， Among them, γ i is the wire mesh unit ε i Travel convenience value evaluation score, δ 1i Scoring for the 500-meter coverage of a site: When the 500-meter coverage of a site is ≥ 90%, δ 1i =1; otherwise δ 1i =0;δ 2i Line network density evaluation score: When the line network density is greater than or equal to 4km / km^2, δ 2i =1; otherwise δ 2i =0;δ 3i Score for line repetition coefficient evaluation: When the line repetition coefficient is ≥2, δ 3i =1; otherwise δ 3i =0;δ 4i Score for line nonlinear coefficient evaluation: When the nonlinear coefficient is ≤ 20%, δ 4i =1; otherwise δ 4i =0;δ 5i Score for evaluating the proportion of dedicated lanes on the line: When the proportion of dedicated lanes is ≥ 20%, δ 5i =1; otherwise δ 5i =0; S43. When γ i <=3, then evaluate the line mesh unit ε i The inconvenient travel area of ​​the line network is calculated by counting the line mileage L in the inconvenient area. n , and the line mileage L in the entire line network, the line section coincides, and the mileage can be calculated repeatedly, then the statistical line network convenience α1 formula is as follows: ， Among them, L n is the line mileage of the inconvenient network unit area in the line, and L is the line mileage in the entire network.

7. The intelligent bus line network diagnosis and arrangement system according to claim 1 is characterized in that: The S5 includes: S51. Define all lines in the network as a set θ = {θ1, θ2, θ3, ...θ n }; S52. Calculate the inefficient operation evaluation score φ for each line i , line θ i The average speed V1 of the morning peak in the line θ i The average speed during the evening peak is V2. φ i =1, when V1≤15km / h and V2≤15km / h, φ i =0, others; S53. Calculate the statistics of the proportion of inefficient lines in the network ， Where n is the total number of lines in the line set in the network; The S6 includes: S61. Define all lines in the network as a set θ = {θ1, θ2, θ3, ...θ n }; S62. Calculate the multi-point passenger flow fluctuation value: randomly select θ j There are L stations k1, k2, ...k in the line L and peak period f, so that the passenger arrival rate in this period has a fluctuation value γ, with a range of 0<γ<1, then station k l and the passenger arrival rate of the characteristic period f fluctuates and becomes ， ； S63. When Σ f f-2 γ j ≥0.6, then θ j For saturated lines, the evaluation score is θ j =1; S64. Calculate the statistics of the proportion of lines in saturated operation in the network ， Where n is the total number of lines in the line set in the network.

8. The intelligent bus line network diagnosis and arrangement system according to claim 1 is characterized in that: The S7 includes: S71. Define all lines in the network as a set θ = {θ1, θ2, θ3, ...θ n }; S72. When θ j Line departure punctuality rate Δ≤50%, schedule execution rate , the waiting time of passengers during peak hours is T≥15min, then θ j For low reliability lines, the evaluation score is θ j =1; S73. Calculate the statistics of the proportion of inefficient lines in the network ， Where n is the total number of lines in the line set in the network.

9. The intelligent bus line network diagnosis and arrangement system according to claim 1, characterized in that: The S9 includes: S91. According to the principle of increasing stations to increase travel convenience, modifying stations on inefficient lines, increasing train frequency on saturated lines, and canceling the top three lines on low-reliability lines, the line network operation strategy adjustment basis 1 is used as the adjustment basis of the operating unit; S92. At the same time, passengers can use the route application function of the passenger service mobile app to apply for the opening of bus routes. The system can count the application frequency on a weekly basis based on the user's application content and determine the demand based on the positioning information, which will serve as the basis for adjusting the line network operation strategy 2, which is the basis for adjusting passenger demand; S93. After the adjustment is completed according to S91 and S92, return to S4 to S8 to re-diagnose. When the diagnosis is normal, jump to S10; otherwise, jump to S9.

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