Public transport operation management scheduling system

Abstract

The invention relates to the field of data processing, in particular to a public transport operation management scheduling system, and solves the problems that an existing intelligent public transport scheduling and management system cannot analyze urban buses in the driving process, so that the subsequent departure condition of the urban buses is scheduled, and the service life of the urban buses is prolonged. The problems of poor riding environment and serious traffic jam due to the fact that the driving route of the city bus cannot be analyzed and the form route of the subsequent city bus is changed are solved. The system can monitor the congestion degree of urban buses in real time, perform early warning and scheduling in advance, provide a comfortable riding environment and safe travel experience for passengers, reduce potential safety hazards caused by carriage congestion, monitor the congestion condition of driving routes in real time, perform early warning and change in advance, improve the punctuality of the urban buses, and improve the driving safety of the urban buses. The travel experience and satisfaction degree of passengers are improved, and the operation efficiency of public transportation is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a public transportation operation management and dispatching system. Background Art

[0002] As the population continues to grow, people's demand for public transportation is also gradually increasing. Therefore, how to improve the operating efficiency and service quality of public transportation has become very important. At present, many public transportation operation management systems still rely mainly on manual experience to formulate rules and perform scheduling management, which has some problems, such as inaccurate scheduling, route conflicts, and waste of resources.

[0003] With the continuous development of machine learning technology, we can use various algorithms to analyze and predict public transportation data, thereby further improving the accuracy and efficiency of scheduling. This can not only solve the above-mentioned problems, but also effectively reduce the waste of resources, making our public transportation system more efficient and reliable. The patent with application number CN201010189056.8 discloses an intelligent bus scheduling and management system, including an enterprise management platform server, a communication machine module, a geographic information monitoring system, a basic data management system, a scheduling management module, and a GPS device management module. The communication machine module, the geographic information monitoring system, and the basic data management system are connected to the enterprise management platform server respectively. The scheduling management module generates a departure timetable through scheduling algorithms and historical experience, and plans and schedules according to available personnel and available vehicles, and then calculates the departure timetable according to the GPS device management module and the communication machine module. The real-time positioning, speed, passenger flow dynamic information and basic static information changes of personnel, vehicles and lines sent back by the block are used for on-site dispatch, and hierarchical management of dispatch is realized. Wireless communication methods are used to transmit real-time operation information such as vehicle positioning and entry and exit to the supervision center, and the dispatch order from the supervision center is transmitted downward, which improves the service and management level of the public transportation system. However, there are still the following shortcomings: it is impossible to analyze the city buses in the process of driving, so as to dispatch the subsequent departure of city buses, and it is impossible to analyze the driving routes of city buses, so as to change the subsequent routes of city buses, resulting in poor riding environment, serious traffic congestion, and poor travel experience and satisfaction of passengers. Summary of the invention

[0004] In order to overcome the above technical problems, the purpose of the present invention is to provide a public transportation operation management and dispatching system: the vehicle dispatching parameters of the city bus are obtained through the traffic monitoring module, the vehicle dispatching parameters include the passenger value, the station congestion value and the average deviation value, the vehicle dispatching coefficient is obtained according to the vehicle dispatching parameters through the parameter processing module, the preset time interval is obtained according to the vehicle dispatching coefficient through the management dispatching platform, the city bus is ordered to depart according to the preset time interval after receiving the preset time interval through the intelligent dispatching module, the route dispatching parameters of the driving section are obtained through the route monitoring module, the route dispatching parameters include the road distance value, the number value and the vehicle value, and the route dispatching coefficient is obtained according to the route dispatching parameters through the parameter processing module , the congested scheduling section is obtained according to the route scheduling coefficient through the management and scheduling platform, the selected section is obtained according to the congested scheduling section through the intelligent scheduling module, and all the selected sections are combined to form a new city bus route, and the city bus that is about to depart is ordered to travel according to the city bus route, which solves the problem that the existing intelligent bus scheduling and management system cannot analyze the city bus in the process of driving, so as to schedule the subsequent departure of the city bus, and cannot analyze the city bus route, so as to change the subsequent form of the city bus route, resulting in poor riding environment, serious traffic congestion, and poor passenger travel experience and satisfaction.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A public transportation operation management and dispatching system, comprising:

[0007] Traffic monitoring module, used to obtain the vehicle dispatching parameters of the city bus and send the vehicle dispatching parameters to the parameter processing module; wherein the vehicle dispatching parameters include the passenger value CR, the station congestion value ZY and the average deviation value JP;

[0008] The parameter processing module is used to obtain the vehicle dispatch coefficient SJ according to the vehicle dispatch parameter, and send the vehicle dispatch coefficient SJ to the management dispatch platform; it is also used to obtain the route dispatch coefficient LD according to the route dispatch parameter, and send the route dispatch coefficient LD to the management dispatch platform;

[0009] The management and dispatching platform is used to obtain a preset time interval according to the vehicle dispatch coefficient SJ, and send the preset time interval to the intelligent dispatching module; it is also used to obtain a congested dispatching section according to the route dispatch coefficient LD, and send the congested dispatching section to the intelligent dispatching module;

[0010] The intelligent dispatching module is used to order the city bus to depart according to the preset time interval after receiving the preset time interval; it is also used to obtain the selected road section according to the congested dispatching road section, and combine all the selected road sections to form a new city bus driving route, and order the city bus to be dispatched to travel according to the city bus driving route;

[0011] The route monitoring module is used to obtain the route scheduling parameters of the driving section and send the route scheduling parameters to the parameter processing module; wherein the route scheduling parameters include the road distance value LJ, the quantity value SL, and the vehicle value CL.

[0012] As a further solution of the present invention: the specific process of the traffic monitoring module obtaining vehicle dispatch parameters is as follows:

[0013] The total number of passengers in the city bus is obtained in real time, and it is marked as the number of passengers RS. The total number of passengers in the city bus since the starting point is obtained, and it is marked as the number of passengers RC. The number of passengers RS and the number of passengers RC are substituted into the formula CR=r1×RS+r2×RC to obtain the number of passengers CR, wherein r1 and r2 are the preset proportional coefficients of the number of passengers RS and the number of passengers RC, respectively, and r1+r2=1, 0<r2<r1<1, and r1=0.79 and r2=0.21 are taken;

[0014] The bus stops on the city bus route are marked as analysis site i in sequence, i=1, ..., n, where n is a natural number. The time when the city bus arrives at the analysis site i and the time when it starts to travel from the analysis site i are obtained, and the time difference between the two is obtained and marked as the stop time value TS i. The number of passengers getting on the city bus at the analysis site i is obtained and marked as the multiplier value CS i. The stop time value TS i and the multiplier value CS i are substituted into the formula The station ownership value ZY is obtained, where z1 and z2 are the preset proportional coefficients of the stop time value TS i and the multiplier value CS i, respectively, and z1+z2=1, 0<z1<z2<1, and z1=0.46 and z2=0.54 are taken;

[0015] The prediction time is taken as the prediction time when the city bus is traveling at the starting point of the route. The time when the city bus arrives at the stop time value TS i is obtained through the map, and it is marked as the predicted arrival time YD i. The time when the city bus actually arrives at the stop time value TS i is obtained, and it is marked as the actual arrival time SD i. The difference between the predicted arrival time YD i and the actual arrival time SD i is obtained, and it is marked as the biased time value PS i. All the biased time values ​​PS i are summed up and the average value is obtained, and the average value is marked as the average biased value JP.

[0016] The multiplier value CR, station ownership value ZY and average bias value JP are sent to the parameter processing module.

[0017] As a further solution of the present invention: the specific process of the parameter processing module obtaining the vehicle dispatch coefficient SJ is as follows:

[0018] Substitute the multiplier value CR, station ownership value ZY and average bias value JP into the formula The vehicle dispatch coefficient SJ is obtained, where π is a mathematical constant, c1, c2 and c3 are the preset weight coefficients of the passenger value CR, the station value ZY and the average bias value JP respectively, and c1>c2>c3>1.522, taking c1=2.13, c2=1.95, c3=1.76;

[0019] The vehicle dispatch coefficient SJ is sent to the management dispatch platform.

[0020] As a further solution of the present invention: the specific process of the parameter processing module obtaining the route scheduling coefficient LD is as follows:

[0021] Substitute the road distance value LJ, the number value SL, and the vehicle value CL into the formula Obtain the route scheduling coefficient LD, where e is a mathematical constant, d1, d2 and d3 are preset weight coefficients of the road distance value LJ, the number value SL and the vehicle value CL respectively, and d2>d3>d1>1.245, taking d1=1.43, d2=1.99, d3=1.76;

[0022] The route scheduling coefficient LD is sent to the management scheduling platform.

[0023] As a further solution of the present invention: the specific process of the route monitoring module obtaining the route scheduling parameters is as follows:

[0024] The city bus route is divided into several driving sections according to the analysis station i;

[0025] Get the distance of the driving section and mark it as the road distance value LJ;

[0026] The total number of people and vehicles in the driving section is obtained in real time, and marked as the total number of people ZR and the total number of vehicles ZC, and the total number of people ZR and the total number of vehicles ZC are substituted into the formula SL = s1 × ZR + s2 × ZC to obtain the quantity value SL, where s1 and s2 are the preset proportional coefficients of the total number of people ZR and the total number of vehicles ZC, respectively, and s1 + s2 = 1, 0 < s1 < s2 < 1, and s1 = 0.38, s2 = 0.62;

[0027] Obtain the average vehicle speed and average vehicle spacing in the driving section in real time, and mark them as the vehicle speed value CS and the vehicle spacing value CJ respectively. Substitute the vehicle speed value CS and the vehicle spacing value CJ into the formula The vehicle value CL is obtained, where a1 and a2 are preset proportional coefficients of the vehicle speed value CS and the vehicle distance value CJ, respectively, and a1+a2=1, 0<a2<a1<1, and a1=0.53, a2=0.47;

[0028] The road distance value LJ, the quantity value SL, and the vehicle value CL are sent to the parameter processing module.

[0029] As a further solution of the present invention: a working method of a public transportation operation management and dispatching system comprises the following steps:

[0030] Step a1: The traffic monitoring module obtains the total number of passengers in the city bus in real time, and marks it as the number of passengers RS, obtains the total number of passengers in the city bus since the starting point, and marks it as the number of passengers RC, substitutes the number of passengers RS and the number of passengers RC into the formula CR=r1×RS+r2×RC to obtain the number of passengers CR, wherein r1 and r2 are respectively the preset proportional coefficients of the number of passengers RS and the number of passengers RC, and r1+r2=1, 0<r2<r1<1, and takes r1=0.79 and r2=0.21;

[0031] Step a2: The traffic monitoring module marks the bus stops on the city bus route as analysis stations i in sequence, i=1, ..., n, where n is a natural number, obtains the time when the city bus arrives at the analysis station i and the time when it starts to travel from the analysis station i, obtains the time difference between the two and marks it as the stop time value TS i, obtains the number of passengers boarding the city bus at the analysis station i, and marks it as the multiplier value CS i, and substitutes the stop time value TS i and the multiplier value CS i into the formula The station ownership value ZY is obtained, where z1 and z2 are the preset proportional coefficients of the stop time value TS i and the multiplier value CS i, respectively, and z1+z2=1, 0<z1<z2<1, and z1=0.46 and z2=0.54 are taken;

[0032] Step a3: The traffic monitoring module predicts the time when the city bus is traveling at the starting point of the route through the map, obtains the time when the city bus arrives at the stop time value TS i, and marks it as the predicted arrival time YD i, obtains the time when the city bus actually arrives at the stop time value TS i, and marks it as the actual arrival time SD i, obtains the difference between the predicted arrival time YD i and the actual arrival time SD i, and marks it as the biased time value PS i, sums up all the biased time values ​​PS i and calculates the average value, and marks the average value as the average biased value JP;

[0033] Step a4: The traffic monitoring module sends the passenger value CR, the station occupancy value ZY and the average deviation value JP to the parameter processing module;

[0034] Step a5: The parameter processing module substitutes the multiplier value CR, the station ownership value ZY and the average bias value JP into the formula The vehicle dispatch coefficient SJ is obtained, where π is a mathematical constant, c1, c2 and c3 are the preset weight coefficients of the passenger value CR, the station value ZY and the average bias value JP respectively, and c1>c2>c3>1.522, taking c1=2.13, c2=1.95, c3=1.76;

[0035] Step a6: The parameter processing module sends the vehicle dispatch coefficient SJ to the management and dispatch platform;

[0036] Step a7: The management and dispatching platform matches the vehicle dispatch coefficient SJ with the dispatch interval QJm. The value range of the dispatch interval QJm is (A m , A m+1 ], where A m+1 >A m , m is a natural number, and each dispatch interval corresponds to a vehicle departure interval. If the vehicle dispatch coefficient SJ∈QJm(A m , A m+1 ], the vehicle departure interval corresponding to the dispatch interval QJm is marked as the preset time interval, and the preset time interval is sent to the intelligent dispatch module;

[0037] Step a8: After receiving the preset time interval, the intelligent dispatching module orders the city bus to depart according to the preset time interval;

[0038] Step a9: the route monitoring module divides the city bus route into several driving sections according to the analysis site i;

[0039] Step a10: the route monitoring module obtains the distance of the driving section and marks it as the road distance value LJ;

[0040] Step a11: The route monitoring module obtains the total number of people and vehicles in the driving section in real time, and marks them as the total number of people ZR and the total number of vehicles ZC, and substitutes the total number of people ZR and the total number of vehicles ZC into the formula SL=s1×ZR+s2×ZC to obtain the quantity value SL, wherein s1 and s2 are the preset proportional coefficients of the total number of people ZR and the total number of vehicles ZC, respectively, and s1+s2=1, 0<s1<s2<1, and s1=0.38 and s2=0.62;

[0041] Step a12: The route monitoring module obtains the average vehicle speed and average vehicle spacing in the driving section in real time, and marks them as the vehicle speed value CS and the vehicle spacing value CJ respectively. Substitute the vehicle speed value CS and the vehicle spacing value CJ into the formula The vehicle value CL is obtained, where a1 and a2 are preset proportional coefficients of the vehicle speed value CS and the vehicle distance value CJ, respectively, and a1+a2=1, 0<a2<a1<1, and a1=0.53, a2=0.47;

[0042] Step a13: the route monitoring module sends the road distance value LJ, the number value SL, and the vehicle value CL to the parameter processing module;

[0043] Step a14: The parameter processing module substitutes the road distance value LJ, the number value SL and the vehicle value CL into the formula Obtain the route scheduling coefficient LD, where e is a mathematical constant, d1, d2 and d3 are preset weight coefficients of the road distance value LJ, the number value SL and the vehicle value CL respectively, and d2>d3>d1>1.245, taking d1=1.43, d2=1.99, d3=1.76;

[0044] Step a15: the parameter processing module sends the route scheduling coefficient LD to the management scheduling platform;

[0045] Step a16: the management and dispatching platform compares the route dispatching coefficient LD with the preset route dispatching threshold LDy: if the route dispatching coefficient LD ≥ the route dispatching threshold LDy, the driving section corresponding to the route dispatching coefficient LD is marked as a congested dispatching section, and the congested dispatching section is sent to the intelligent dispatching module;

[0046] Step a17: After receiving the congested dispatching section, the intelligent dispatching module obtains other driving routes except the congested dispatching section according to the analysis sites i at both ends of the congested dispatching section. If the number of other driving routes is 0, the congested dispatching section is marked as the selected section. If the number of other driving routes is greater than 0, the congested dispatching section and other driving routes are marked as pre-selected sections, and the route dispatch coefficients LD of all pre-selected sections are obtained, and the pre-selected section with the smallest route dispatch coefficient LD is marked as the selected section.

[0047] Step a18: the intelligent dispatching module combines all the selected road sections to form a new city bus driving route, and instructs the city bus that is about to depart to drive according to the city bus driving route.

[0048] Beneficial effects of the present invention:

[0049] The public transportation operation management and dispatching system of the present invention obtains the vehicle dispatching parameters of a city bus through a traffic monitoring module, the vehicle dispatching parameters include a passenger value, a station congestion value and an average deviation value, obtains the vehicle dispatching coefficient according to the vehicle dispatching parameters through a parameter processing module, obtains the preset time interval through a management and dispatching platform according to the vehicle dispatching coefficient, and orders the city bus to depart according to the preset time interval after receiving the preset time interval through an intelligent dispatching module, obtains the route dispatching parameters of a driving section through a route monitoring module, the route dispatching parameters include a road distance value, a quantity value and a vehicle value, obtains the route dispatching coefficient according to the route dispatching parameters through the parameter processing module, obtains the congested dispatching section through the management and dispatching platform according to the route dispatching coefficient, obtains the selected section according to the congested dispatching section through the intelligent dispatching module, and combines all the selected sections to form a new city bus driving route, and orders the city bus to be departed to travel according to the city bus driving route.

[0050] The public transportation operation intelligent management and dispatching system first analyzes the city buses during driving to obtain vehicle dispatching parameters. The vehicle dispatching coefficient obtained according to the vehicle dispatching parameters can comprehensively measure the congestion and busyness of the city buses. The larger the vehicle dispatching coefficient, the higher the congestion and busyness. It is urgent to adjust the departure time interval of subsequent city buses according to the preset time interval, adjust the departure schedule of city buses, and improve the public transportation congestion. After that, the city bus driving route is analyzed to obtain route dispatching parameters. The route dispatching coefficient obtained according to the route dispatching parameters can comprehensively measure the traffic congestion degree of the driving section. The larger the route dispatching coefficient, the higher the traffic congestion degree. It is urgent to improve the subsequent city bus form route to further reduce traffic congestion.

[0051] The public transportation operation intelligent management and dispatching system can monitor the congestion level of urban buses in real time, provide early warning and dispatch, provide passengers with a comfortable riding environment and a safe travel experience, reduce the safety hazards caused by crowded carriages, and monitor the congestion of driving routes in real time, provide early warning and replacement, which can improve the punctuality of urban buses, improve passengers' travel experience and satisfaction, and improve the operational efficiency of public transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] Figure 1 It is a principle block diagram of a public transportation operation management and dispatching system in the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] Embodiment 1:

[0056] See also Figure 1 As shown, this embodiment is a public transportation operation management and dispatching system, which includes the following modules: a traffic monitoring module, a parameter processing module, a management and dispatching platform, an intelligent dispatching module, and a route monitoring module;

[0057] The traffic monitoring module is used to obtain the vehicle dispatching parameters of the city bus and send the vehicle dispatching parameters to the parameter processing module; wherein the vehicle dispatching parameters include the passenger value CR, the station congestion value ZY and the average deviation value JP;

[0058] The parameter processing module is used to obtain a vehicle dispatch coefficient SJ according to the vehicle dispatch parameters, and send the vehicle dispatch coefficient SJ to the management dispatch platform; it is also used to obtain a route dispatch coefficient LD according to the route dispatch parameters, and send the route dispatch coefficient LD to the management dispatch platform;

[0059] The management and dispatching platform is used to obtain a preset time interval according to the vehicle dispatch coefficient SJ, and send the preset time interval to the intelligent dispatching module; it is also used to obtain a congested dispatching section according to the route dispatch coefficient LD, and send the congested dispatching section to the intelligent dispatching module;

[0060] The intelligent dispatching module is used to order the city bus to depart according to the preset time interval after receiving the preset time interval; it is also used to obtain the selected road section according to the congested dispatching road section, and combine all the selected road sections to form a new city bus driving route, and order the city bus to be dispatched to travel according to the city bus driving route;

[0061] The route monitoring module is used to obtain the route scheduling parameters of the driving section and send the route scheduling parameters to the parameter processing module; wherein the route scheduling parameters include a road distance value LJ, a quantity value SL, and a vehicle value CL.

[0062] Embodiment 2:

[0063] See also Figure 1 As shown, this embodiment is a working method of a public transportation operation management and dispatching system, comprising the following steps:

[0064] Step a1: The traffic monitoring module obtains the total number of passengers in the city bus in real time, and marks it as the number of passengers RS, obtains the total number of passengers in the city bus since the starting point, and marks it as the number of passengers RC, substitutes the number of passengers RS and the number of passengers RC into the formula CR=r1×RS+r2×RC to obtain the number of passengers CR, wherein r1 and r2 are respectively the preset proportional coefficients of the number of passengers RS and the number of passengers RC, and r1+r2=1, 0<r2<r1<1, and takes r1=0.79 and r2=0.21;

[0065] Step a2: The traffic monitoring module marks the bus stops on the city bus route as analysis stations i in sequence, i=1, ..., n, where n is a natural number, obtains the time when the city bus arrives at the analysis station i and the time when it starts to travel from the analysis station i, obtains the time difference between the two and marks it as the stop time value TS i, obtains the number of passengers boarding the city bus at the analysis station i, and marks it as the multiplier value CS i, and substitutes the stop time value TS i and the multiplier value CS i into the formula The station ownership value ZY is obtained, where z1 and z2 are the preset proportional coefficients of the stop time value TS i and the multiplier value CS i, respectively, and z1+z2=1, 0<z1<z2<1, and z1=0.46 and z2=0.54 are taken;

[0066] Step a3: The traffic monitoring module predicts the time when the city bus is traveling at the starting point of the route through the map, obtains the time when the city bus arrives at the stop time value TS i, and marks it as the predicted arrival time YD i, obtains the time when the city bus actually arrives at the stop time value TS i, and marks it as the actual arrival time SD i, obtains the difference between the predicted arrival time YD i and the actual arrival time SD i, and marks it as the biased time value PS i, sums up all the biased time values ​​PS i and calculates the average value, and marks the average value as the average biased value JP;

[0067] Step a4: The traffic monitoring module sends the passenger value CR, the station occupancy value ZY and the average deviation value JP to the parameter processing module;

[0068] Step a5: The parameter processing module substitutes the multiplier value CR, the station ownership value ZY and the average bias value JP into the formula The vehicle dispatch coefficient SJ is obtained, where π is a mathematical constant, c1, c2 and c3 are the preset weight coefficients of the passenger value CR, the station value ZY and the average bias value JP respectively, and c1>c2>c3>1.522, taking c1=2.13, c2=1.95, c3=1.76;

[0069] Step a6: The parameter processing module sends the vehicle dispatch coefficient SJ to the management and dispatch platform;

[0070] Step a7: The management and dispatching platform matches the vehicle dispatch coefficient SJ with the dispatch interval QJm. The value range of the dispatch interval QJm is (A m , A m+1 ], where A m+1 >A m , m is a natural number, and each dispatch interval corresponds to a vehicle departure interval. If the vehicle dispatch coefficient SJ∈QJm(A m , A m+1 ], the vehicle departure interval corresponding to the dispatch interval QJm is marked as the preset time interval, and the preset time interval is sent to the intelligent dispatch module;

[0071] Step a8: After receiving the preset time interval, the intelligent dispatching module orders the city bus to depart according to the preset time interval;

[0072] Step a9: the route monitoring module divides the city bus route into several driving sections according to the analysis site i;

[0073] Step a10: the route monitoring module obtains the distance of the driving section and marks it as the road distance value LJ;

[0074] Step a11: The route monitoring module obtains the total number of people and vehicles in the driving section in real time, and marks them as the total number of people ZR and the total number of vehicles ZC, and substitutes the total number of people ZR and the total number of vehicles ZC into the formula SL=s1×ZR+s2×ZC to obtain the quantity value SL, wherein s1 and s2 are the preset proportional coefficients of the total number of people ZR and the total number of vehicles ZC, respectively, and s1+s2=1, 0<s1<s2<1, and s1=0.38 and s2=0.62;

[0075] Step a12: The route monitoring module obtains the average vehicle speed and average vehicle spacing in the driving section in real time, and marks them as the vehicle speed value CS and the vehicle spacing value CJ respectively. Substitute the vehicle speed value CS and the vehicle spacing value CJ into the formula The vehicle value CL is obtained, where a1 and a2 are preset proportional coefficients of the vehicle speed value CS and the vehicle distance value CJ, respectively, and a1+a2=1, 0<a2<a1<1, and a1=0.53, a2=0.47;

[0076] Step a13: the route monitoring module sends the road distance value LJ, the quantity value SL, and the vehicle value CL to the parameter processing module;

[0077] Step a14: The parameter processing module substitutes the road distance value LJ, the number value SL and the vehicle value CL into the formula Obtain the route scheduling coefficient LD, where e is a mathematical constant, d1, d2 and d3 are preset weight coefficients of the road distance value LJ, the number value SL and the vehicle value CL respectively, and d2>d3>d1>1.245, taking d1=1.43, d2=1.99, d3=1.76;

[0078] Step a15: the parameter processing module sends the route scheduling coefficient LD to the management scheduling platform;

[0079] Step a16: the management and dispatching platform compares the route dispatching coefficient LD with the preset route dispatching threshold LDy: if the route dispatching coefficient LD ≥ the route dispatching threshold LDy, the driving section corresponding to the route dispatching coefficient LD is marked as a congested dispatching section, and the congested dispatching section is sent to the intelligent dispatching module;

[0080] Step a17: After receiving the congested dispatching section, the intelligent dispatching module obtains other driving routes except the congested dispatching section according to the analysis sites i at both ends of the congested dispatching section. If the number of other driving routes is 0, the congested dispatching section is marked as the selected section. If the number of other driving routes is greater than 0, the congested dispatching section and other driving routes are marked as pre-selected sections, and the route dispatch coefficients LD of all pre-selected sections are obtained, and the pre-selected section with the smallest route dispatch coefficient LD is marked as the selected section.

[0081] Step a18: the intelligent dispatching module combines all the selected road sections to form a new city bus driving route, and instructs the city bus that is about to depart to drive according to the city bus driving route.

[0082] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A public transportation operation management and dispatching system, characterized in that: include: The traffic monitoring module is used to obtain the vehicle dispatching parameters of the city bus and send the vehicle dispatching parameters to the parameter processing module; wherein the vehicle dispatching parameters include passenger value, station congestion value and average deviation value; The parameter processing module is used to obtain the vehicle dispatch coefficient according to the vehicle dispatch parameter and send the vehicle dispatch coefficient to the management dispatch platform; it is also used to obtain the route dispatch coefficient according to the route dispatch parameter and send the route dispatch coefficient to the management dispatch platform; The management and dispatching platform is used to obtain a preset time interval according to the vehicle dispatching coefficient and send the preset time interval to the intelligent dispatching module; it is also used to obtain a congested dispatching section according to the route dispatching coefficient and send the congested dispatching section to the intelligent dispatching module; The intelligent dispatching module is used to order the city bus to depart according to the preset time interval after receiving the preset time interval; it is also used to obtain the selected road section according to the congested dispatching road section, and combine all the selected road sections to form a new city bus driving route, and order the city bus to be dispatched to travel according to the city bus driving route; The route monitoring module is used to obtain the route scheduling parameters of the driving section and send the route scheduling parameters to the parameter processing module; wherein the route scheduling parameters include road distance value, quantity value, and vehicle value.

2. A public transportation operation management and dispatching system according to claim 1, characterized in that: The specific process of the traffic monitoring module obtaining vehicle dispatch parameters is as follows: Obtain the total number of passengers in the city bus in real time and mark it as the number of passengers; obtain the total number of passengers on the city bus since the starting point and mark it as the number of passengers; analyze the number of passengers and the number of passengers to obtain the passenger value; The bus stops on the city bus route are marked as analysis sites in sequence, the time when the city bus arrives at the analysis site and the time when it starts to travel from the analysis site are obtained, the time difference between the two is obtained and marked as the stop time value, the number of passengers boarding the city bus at the analysis site is obtained and marked as the multiplier value, and the stop time value and the multiplier value are analyzed to obtain the station possession value; The predicted time is taken as the time when the city bus is traveling at the starting point of the route. The time when the bus arrives at the stop time is obtained through the map, and the time when the bus actually arrives at the stop time is obtained ... The passenger value, station occupancy value and mean deviation value are sent to the parameter processing module.

3. A public transportation operation management and dispatching system according to claim 1, characterized in that: The specific process of the parameter processing module obtaining the vehicle dispatch coefficient is as follows: The vehicle dispatch coefficient is obtained by analyzing the passenger value, station congestion value and average deviation value; Send the vehicle dispatch coefficient to the management dispatch platform.

4. A public transportation operation management and dispatching system according to claim 1, characterized in that: The specific process of the parameter processing module obtaining the route scheduling coefficient is as follows: The road distance value, quantity value and vehicle value are analyzed to obtain the route scheduling coefficient; The route scheduling coefficient is sent to the management scheduling platform.

5. A public transportation operation management and dispatching system according to claim 1, characterized in that: The specific process of the route monitoring module obtaining route scheduling parameters is as follows: Divide the city bus route into several driving sections according to the analysis sites; Get the distance of the driving section and mark it as the road distance value; The total number of people and vehicles in the driving section is obtained in real time, and they are marked as total person value and total vehicle value, and the total person value and total vehicle value are analyzed to obtain the quantity value; The average vehicle speed and average vehicle interval distance in the driving section are obtained in real time, and they are marked as vehicle speed value and vehicle interval value respectively, and the vehicle speed value and vehicle interval value are analyzed to obtain the vehicle value; The road distance value, quantity value and vehicle value are sent to the parameter processing module.

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