Dynamic scheduling operation platform for efficient and intelligent traffic operation

Abstract

The invention discloses a dynamic scheduling operation platform for efficient intelligent traffic operation, and the platform can dynamically adjust the driving route, shift and station setting of an operating vehicle through the real-time tracking of the vehicle position, the monitoring of the traffic flow and the collection of the passenger flow information. Traffic congestion is effectively relieved, the vehicle utilization rate is improved, and therefore the traffic operation efficiency is remarkably improved; the platform can receive road condition information fed back by a driver in real time, discover and report sudden traffic accidents in time through a traffic monitoring system, provide a basis for rapid response and disposal for a traffic management department, and effectively reduce the influence degree of the traffic accidents. Through the intelligent data analysis and prediction module, the platform can predict the traffic flow, the congestion trend and the passenger demand in a short time in the future, provides scientific decision support for traffic management departments and operation enterprises, optimizes resource configuration, reduces waste, and improves the overall benefit.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic operation, and specifically provides a dynamic scheduling operation platform for efficient intelligent traffic operation. Background Art

[0002] In today's society, with the acceleration of urbanization and the continuous growth of the population, traffic congestion, inconvenient travel, and traffic safety issues have become increasingly prominent, becoming important factors restricting urban development. Traditional traffic management methods often rely on manual scheduling and empirical judgment, making it difficult to cope with complex and changing traffic conditions. At the same time, with the rapid development of information technology, advanced technologies such as big data and artificial intelligence have gradually been applied to various fields, providing new ideas and means for traffic management.

[0003] However, to achieve efficient management and dynamic scheduling of traffic operation is not an easy task. It is necessary to build a comprehensive platform integrating data collection, information integration, strategy generation, intelligent prediction, and user services to accurately and timely grasp traffic conditions and provide support for decision-making. In addition, it is necessary to ensure the safe and stable operation of the platform and the security of user privacy to win the trust and support of users.

[0004] It is precisely in this context that the dynamic scheduling operation platform for efficient intelligent traffic operation has emerged. By integrating a variety of advanced technologies and modules, this platform realizes the efficient management, dynamic scheduling, and intelligent services of traffic operation, providing strong support for the smooth and convenient urban traffic. At the same time, this platform also pays attention to data security and privacy protection to ensure the full protection of the legitimate rights and interests of users. It can be predicted that with the continuous popularization and application of this platform, it will bring a revolutionary change to urban traffic management. Summary of the Invention

[0005] In view of the problems existing in the prior art, the present invention discloses a dynamic scheduling operation platform for efficient intelligent traffic operation, and the technical solution adopted is as follows: including the following modules and systems: Satellite positioning system, which can track the position of operating vehicles in real time, provide dynamic information on vehicle position, speed, and driving direction, with the position information update frequency being 1 - 3 seconds / time, and the positioning accuracy not less than 5 meters. Traffic monitoring system, which monitors the traffic flow at key intersections and sections, with the video data frame rate being 25 - 60 frames / second, the resolution not less than 1080p, and having night vision and automatic exposure adjustment functions. User mobile phone query information recording module, which at least includes collecting the user's own positioning information and query time information. The update frequency of the user's positioning information is related to the user's moving speed, but not less than 1 - 3 minutes / time, and the query time information is accurate to the second. The vehicle passenger flow information module collects the passenger flow of high-speed rail stations, railway stations, and airports in real time, including the inbound volume, outbound volume, and transfer volume. The data update frequency is 5 - 15 minutes per time. The information collection, integration, and guiding and dispatching module, based on the information collected by the above module system, and in addition, the road administration information received additionally, is integrated with the assistance of a computer and guided and dispatched according to the weather condition information released by the local meteorological department.

[0006] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, the information collection, integration, and guiding and dispatching module further includes a road administration information receiving unit, an information integration unit, and a weather condition guiding and dispatching unit. The road administration information receiving unit is used to receive information on road construction and road closures; the information integration unit is used to integrate satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow information, and road administration information to form a comprehensive traffic information database; the weather condition guiding and dispatching unit is used to receive the weather condition information released by the local meteorological department and, in combination with the integrated traffic information, conduct the guiding and dispatching and release of information.

[0007] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, it further includes an operation vehicle information feedback module. The operation vehicle information feedback module consists of a real-time feedback unit and a driver feedback unit. The real-time feedback unit feeds back the vehicle occupancy status, destination information, and emergency accident information of operation vehicles, including buses, taxis, and online car-hailing vehicles, through wireless communication; the driver feedback unit is used for road congestion caused by sudden accidents on the road surface, and the driver can timely feedback the road surface condition through the platform.

[0008] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, the traffic monitoring system further includes an intersection congestion monitoring unit and a sudden accident monitoring unit. The intersection congestion monitoring unit monitors the road surface conditions at intersections within 1 - 5 kilometers of scenic spots, schools, commercial buildings, large factories, and shopping malls at different time periods through traffic cameras, calculates the vehicle queue length and driving speed to evaluate the congestion status of the intersection; the sudden accident monitoring unit is used to receive the road condition information fed back by the driver feedback unit in real time and timely discover and report sudden traffic accidents through traffic monitoring.

[0009] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, it further includes a dynamic adjustment strategy generation module, which is composed of a strategy generation unit and a strategy evaluation unit. The strategy generation unit generates a scheduling strategy for the operating vehicles in real time according to the integrated traffic information, weather conditions, and feedback information of the operating vehicles. The strategy evaluation unit conducts a simulation evaluation on the generated scheduling strategy to ensure the effectiveness of the strategy. The strategy includes, but is not limited to, adjusting routes, increasing or decreasing shifts, setting temporary stops, optimizing headways, and adjusting vehicle speeds.

[0010] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, the strategy generation unit further includes a route adjustment subunit, a shift increase or decrease subunit, and a temporary stop setting subunit. The route adjustment subunit dynamically adjusts the driving routes of the operating vehicles according to the intersection congestion conditions, weather conditions, and passenger flow. The shift increase or decrease subunit increases or decreases the shifts of the operating vehicles in real time according to the passenger flow and road congestion conditions. The temporary stop setting subunit temporarily sets stops for the operating vehicles according to locations or sections with large passenger or tourist flows.

[0011] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, it further includes an intelligent data analysis and prediction module, which is composed of a data preprocessing unit, a machine learning analysis unit, and a prediction result output unit. The data preprocessing unit is used to clean, de-duplicate, and format the data collected from satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow, road administration information, and weather conditions. The machine learning analysis unit uses advanced algorithm models to perform in-depth learning and analysis on the preprocessed data to predict the traffic flow, congestion trend, and passenger demand in the short term in the future. The prediction result output unit outputs the prediction results in the form of visual charts or data interfaces for use by the dynamic adjustment strategy generation module.

[0012] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, the intelligent data analysis and prediction module further includes a model optimization and update unit. The model optimization and update unit continuously optimizes and updates the algorithm models in the machine learning analysis unit according to the real-time feedback of operating vehicle information, passenger feedback, and actual traffic conditions to improve the accuracy and reliability of the prediction. At the same time, it is responsible for regularly evaluating the model performance to ensure that the model always maintains the best state.

[0013] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, it further includes a user service interface and interaction module, and the user service interface and interaction module consists of a user query unit, an information feedback unit, and a personalized service unit; the user query unit provides a convenient query interface, allowing users to query the location of operating vehicles, the estimated arrival time, road conditions information, and travel suggestions in real time through mobile phone APPs, websites, and WeChat official accounts; the information feedback unit is used to receive users' feedback opinions and suggestions to continuously improve the platform service; the personalized service unit provides customized travel plans and recommendation services according to users' travel habits and preferences to enhance the user experience.

[0014] As a preferred technical solution of the dynamic scheduling operation platform for efficient intelligent transportation operation of the present invention, it further includes a system security and privacy protection module, and the system security and privacy protection module consists of a data encryption unit, an access control unit, and a security monitoring unit; the data encryption unit uses advanced encryption algorithms to encrypt the data stored and transmitted in the platform to ensure the security of the data; the access control unit implements strict access control policies, and only authorized users and systems can access sensitive data; the security monitoring unit monitors the system operation status in real time, discovers and processes potential security threats and vulnerabilities in a timely manner to ensure the stable operation of the platform and the security of user privacy.

[0015] The beneficial effects of the present invention: By tracking the vehicle location in real time, monitoring the traffic flow, and collecting passenger flow information, the platform can dynamically adjust the driving routes, schedules, and stop settings of operating vehicles, effectively relieve traffic congestion, improve vehicle utilization rate, and thus significantly improve the traffic operation efficiency; in addition, users can query the location of operating vehicles, the estimated arrival time, and travel suggestions in real time through convenient channels such as mobile phone APPs, websites, or WeChat official accounts, making travel more convenient and efficient. At the same time, the personalized service unit can also provide customized travel plans according to users' travel habits and preferences to further enhance the user experience; the platform can receive the road condition information feedback by drivers in real time, and timely discover and report sudden traffic accidents through the traffic monitoring system, providing a basis for rapid response and handling by traffic management departments, effectively reducing the impact of traffic accidents; through the intelligent data analysis and prediction module, the platform can predict the traffic flow, congestion trend, and passenger demand in the short term in the future, providing scientific decision-making support for traffic management departments and operating enterprises, optimizing resource allocation, reducing waste, and improving the overall efficiency. Detailed implementation manners

[0016] Embodiment 1

[0017] The present invention discloses a dynamic scheduling operation platform for efficient intelligent transportation operation, including the following modules and systems: The satellite positioning system can track the location of operating vehicles in real time, providing dynamic information on vehicle location, speed, and driving direction. The location information is updated at a frequency of 1 second per time, and the positioning accuracy is not less than 5 meters. The operating vehicle information feedback module consists of a real-time feedback unit and a driver feedback unit. The real-time feedback unit feeds back the vehicle occupancy status, destination information, and emergency accident information of operating vehicles, including buses, taxis, and online car-hailing vehicles, through wireless communication. The driver feedback unit is used for situations where sudden road accidents cause traffic congestion, and the driver can promptly feedback the road conditions through the platform. The traffic monitoring system monitors the traffic flow at key intersections and sections. The video data frame rate is 25 frames per second, and the resolution is not less than 1080p. It has night vision and automatic exposure adjustment functions. The traffic monitoring system also includes an intersection congestion monitoring unit and an emergency accident monitoring unit. The intersection congestion monitoring unit monitors the road conditions at intersections within 1 kilometer of scenic spots, schools, commercial buildings, large factories, and shopping malls at different times through traffic cameras, calculates the vehicle queue length and driving speed to evaluate the congestion status of the intersection. The emergency accident monitoring unit is used to receive the road condition information fed back by the driver feedback unit in real time and promptly discover and report emergency traffic accidents through traffic monitoring. The user mobile phone query information record module at least includes collecting the user's own location information and query time information. The update frequency of the user location information is related to the user's moving speed but is not less than 1 minute per time, and the query time information is accurate to the second. The vehicle passenger flow information module collects the passenger flow at high-speed rail stations, railway stations, and airports in real time, including the inbound volume, outbound volume, and transfer volume. The data is updated at a frequency of 5 minutes per time. The information collection, integration, and dissemination module: Based on the information collected by the above module system, and additionally receiving road administration information, it is integrated with the assistance of a computer and disseminated according to the weather condition information released by the local meteorological department. The information collection, integration, and dissemination module also includes a road administration information receiving unit, an information integration unit, and a weather condition dissemination unit. The road administration information receiving unit is used to receive information on road construction and road closures. The information integration unit is used to integrate satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow information, and road administration information to form a comprehensive traffic information database. The weather condition dissemination unit is used to receive the weather condition information released by the local meteorological department and disseminate and publish the information in combination with the integrated traffic information. Dynamic adjustment strategy generation module, which is composed of a strategy generation unit and a strategy evaluation unit. The strategy generation unit generates a scheduling strategy for operating vehicles in real time according to the integrated traffic information, weather conditions and feedback information of operating vehicles. The strategy generation unit also includes a route adjustment subunit, a shift increase / decrease subunit and a temporary stop setting subunit. The route adjustment subunit dynamically adjusts the driving route of operating vehicles according to intersection congestion conditions, weather conditions and passenger flow. The shift increase / decrease subunit increases or decreases the shifts of operating vehicles in real time according to passenger flow and road congestion conditions. The temporary stop setting subunit temporarily sets stops for operating vehicles according to locations or sections with large passenger or tourist flows. The strategy evaluation unit conducts simulation evaluation on the generated scheduling strategy to ensure the effectiveness of the strategy. The strategy includes, but is not limited to, adjusting routes, increasing or decreasing shifts, setting temporary stops, optimizing headways and adjusting vehicle speeds. Intelligent data analysis and prediction module, which is composed of a data preprocessing unit, a machine learning analysis unit and a prediction result output unit. The data preprocessing unit is used to clean, deduplicate and format the collected data of satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow, road administration information and weather conditions. The machine learning analysis unit uses advanced algorithm models to conduct in-depth learning and analysis on the preprocessed data to predict traffic flow, congestion trends and passenger demands in the short term in the future. The prediction result output unit outputs the prediction results in the form of visual charts or data interfaces for use by the dynamic adjustment strategy generation module. The intelligent data analysis and prediction module also includes a model optimization and update unit, which continuously optimizes and updates the algorithm models in the machine learning analysis unit according to the real-time feedback of operating vehicle information, passenger feedback and actual traffic conditions to improve the accuracy and reliability of the prediction. At the same time, it is responsible for regularly evaluating the model performance to ensure that the model always maintains the best state. User service interface and interaction module, which is composed of a user query unit, an information feedback unit and a personalized service unit. The user query unit provides a convenient query interface, allowing users to query the location of operating vehicles, estimated arrival time, road conditions and riding suggestions in real time through mobile apps, websites and WeChat official accounts. The information feedback unit is used to receive users' feedback opinions and suggestions to continuously improve the platform service. The personalized service unit provides customized travel plans and recommendation services according to users' travel habits and preferences to enhance the user experience. System Security and Privacy Protection Module, which is composed of a data encryption unit, an access control unit, and a security monitoring unit; the data encryption unit uses advanced encryption algorithms to encrypt the data stored and transmitted in the platform to ensure data security; the access control unit implements strict access control policies, and only authorized users and systems can access sensitive data; the security monitoring unit monitors the system operation status in real time, discovers and processes potential security threats and vulnerabilities in a timely manner to ensure the stable operation of the platform and the security of user privacy.

[0018] Embodiment 2

[0019] The present invention discloses a dynamic scheduling operation platform for efficient intelligent transportation operation, including the following modules and systems: Satellite positioning system, which tracks the positions of operating vehicles in real time, provides dynamic information on vehicle positions, speeds, and driving directions, with a position information update frequency of 2 seconds / time and a positioning accuracy of not less than 5 meters; Operating vehicle information feedback module, which is composed of a real-time feedback unit and a driver feedback unit. The real-time feedback unit feeds back the vehicle occupancy status, destination information, and emergency accident information through wireless communication by operating vehicles, including buses, taxis, and online car-hailing vehicles; the driver feedback unit is used for the driver to timely feedback the road surface conditions through the platform when the road is congested due to sudden road accidents. Traffic monitoring system, which monitors the traffic flow at key intersections and sections, with a video data frame rate of 45 frames / second and a resolution of not less than 1080p, and has night vision and automatic exposure adjustment functions; the traffic monitoring system also includes an intersection congestion monitoring unit and a sudden accident monitoring unit. The intersection congestion monitoring unit monitors the road surface conditions at intersections within 3 kilometers of scenic spots, schools, commercial buildings, large factories, and shopping malls at different time periods through traffic cameras, calculates the vehicle queue length and driving speed to evaluate the congestion status of the intersection; the sudden accident monitoring unit is used to receive the road condition information fed back by the driver feedback unit in real time and discovers and reports sudden traffic accidents in a timely manner through traffic monitoring. User mobile phone query information record module, which at least includes collecting the user's own positioning information and query time information. The update frequency of the user's positioning information is related to the user's moving speed but not less than 2 minutes / time, and the query time information is accurate to the second. Vehicle passenger flow information module, which collects the passenger flow at high-speed rail stations, railway stations, and airports in real time, including the inbound volume, outbound volume, and transfer volume, with a data update frequency of 10 minutes / time. Information collection, integration and guidance and distribution module: Based on the information collected by the above module system, in addition, the road administration information received additionally is integrated with the assistance of a computer and guided and distributed according to the weather condition information released by the local meteorological department. The information collection, integration and guidance and distribution module further includes a road administration information receiving unit, an information integration unit and a weather condition guidance and distribution unit. The road administration information receiving unit is used to receive information on road construction and road closure; the information integration unit is used to integrate satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow information and road administration information to form a comprehensive traffic information database; the weather condition guidance and distribution unit is used to receive the weather condition information released by the local meteorological department and conduct the guidance and distribution of information in combination with the integrated traffic information; Dynamic adjustment strategy generation module, which is composed of a strategy generation unit and a strategy evaluation unit. The strategy generation unit generates a scheduling strategy for operating vehicles in real time according to the integrated traffic information, weather conditions and operating vehicle feedback information; the strategy generation unit further includes a route adjustment subunit, a shift increase and decrease subunit and a temporary stop setting subunit. The route adjustment subunit dynamically adjusts the driving route of operating vehicles according to intersection congestion conditions, weather conditions and passenger flow; the shift increase and decrease subunit increases and decreases the shifts of operating vehicles in real time according to passenger flow and road surface congestion conditions; the temporary stop setting subunit temporarily sets stops for operating vehicles according to locations or sections with large passenger or tourist flows; the strategy evaluation unit conducts a simulation evaluation on the generated scheduling strategy to ensure the effectiveness of the strategy. The strategy includes, but is not limited to, adjusting routes, increasing and decreasing shifts, setting temporary stops, optimizing departure intervals and adjusting vehicle speeds; Intelligent data analysis and prediction module, which is composed of a data preprocessing unit, a machine learning analysis unit and a prediction result output unit; the data preprocessing unit is used to clean, de-duplicate and format the collected satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow, road administration information and weather condition data; the machine learning analysis unit uses an advanced algorithm model to conduct in-depth learning and analysis on the preprocessed data to predict the traffic flow, congestion trend and passenger demand in the short term in the future; the prediction result output unit outputs the prediction result in the form of a visual chart or a data interface for use by the dynamic adjustment strategy generation module; the intelligent data analysis and prediction module further includes a model optimization and update unit, which continuously optimizes and updates the algorithm model in the machine learning analysis unit according to the real-time feedback of operating vehicle information, passenger feedback and actual traffic conditions to improve the accuracy and reliability of the prediction; at the same time, it is responsible for regularly evaluating the model performance to ensure that the model always maintains the best state; User service interface and interaction module, which is composed of a user query unit, an information feedback unit, and a personalized service unit; the user query unit provides a convenient query interface, allowing users to query the location, estimated arrival time, road conditions, and travel suggestions of operating vehicles in real time through mobile apps, websites, and WeChat official accounts; the information feedback unit is used to receive users' feedback opinions and suggestions to continuously improve platform services; the personalized service unit provides customized travel plans and recommendation services according to users' travel habits and preferences to enhance the user experience; System security and privacy protection module, which is composed of a data encryption unit, an access control unit, and a security monitoring unit; the data encryption unit uses advanced encryption algorithms to encrypt the data stored and transmitted in the platform to ensure data security; the access control unit implements strict access control policies, and only authorized users and systems can access sensitive data; the security monitoring unit monitors the system operation status in real time, discovers and processes potential security threats and vulnerabilities in a timely manner to ensure the stable operation of the platform and the security of user privacy.

[0020] Embodiment 3

[0021] The present invention discloses a dynamic scheduling operation platform for efficient intelligent transportation operation, including the following modules and systems: Satellite positioning system, which tracks the location of operating vehicles in real time, provides dynamic information on vehicle location, speed, and driving direction, with the position information update frequency of 3 seconds / time and the positioning accuracy not less than 5 meters; Operating vehicle information feedback module, which is composed of a real-time feedback unit and a driver feedback unit. The real-time feedback unit feeds back the vehicle occupancy status, destination information, and emergency accident information through operating vehicles, including buses, taxis, and online car-hailing vehicles, by means of wireless communication; the driver feedback unit is used for the driver to timely feedback the road conditions through the platform in case of road congestion caused by sudden road accidents. Traffic monitoring system, which monitors the traffic flow at key intersections and sections, with the video data frame rate of 60 frames / second and the resolution not less than 1080p, and has night vision and automatic exposure adjustment functions; the traffic monitoring system also includes an intersection congestion monitoring unit and a sudden accident monitoring unit. The intersection congestion monitoring unit monitors the road conditions at intersections within 5 kilometers of scenic spots, schools, commercial buildings, large factories, and shopping malls at different time periods through traffic cameras, calculates the vehicle queue length and driving speed to evaluate the congestion status of the intersection; the sudden accident monitoring unit is used to receive the road condition information fed back by the driver feedback unit in real time and timely discover and report sudden traffic accidents through traffic monitoring. The user mobile phone query information record module includes at least collecting the user's own location information and query time information. The update frequency of the user location information is related to the user's moving speed, but is not less than once every 3 minutes, and the query time information is accurate to the second. The vehicle passenger flow information module collects the passenger flows of high-speed rail stations, railway stations and airports in real time, including the inbound volume, outbound volume and transfer volume, and the data update frequency is once every 15 minutes. The information collection, integration and distribution module: Based on the information collected by the above module system, in addition, the received road administration information is integrated with the assistance of a computer and distributed according to the weather condition information released by the local meteorological department. The information collection, integration and distribution module also includes a road administration information receiving unit, an information integration unit and a weather condition distribution unit. The road administration information receiving unit is used to receive information on road construction and road closures; the information integration unit is used to integrate satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow information and road administration information to form a comprehensive traffic information database; the weather condition distribution unit is used to receive the weather condition information released by the local meteorological department and distribute and publish the information in combination with the integrated traffic information. The dynamic adjustment strategy generation module is composed of a strategy generation unit and a strategy evaluation unit. The strategy generation unit generates a scheduling strategy for operating vehicles in real time according to the integrated traffic information, weather conditions and operating vehicle feedback information; the strategy generation unit also includes a route adjustment sub-unit, a shift increase and decrease sub-unit and a temporary stop setting sub-unit. The route adjustment sub-unit dynamically adjusts the driving route of operating vehicles according to the intersection congestion condition, weather condition and passenger flow; the shift increase and decrease sub-unit increases and decreases the shifts of operating vehicles in real time according to the passenger flow and road congestion condition; the temporary stop setting sub-unit temporarily sets the stops of operating vehicles according to the locations or sections with large passenger or tourist flows; the strategy evaluation unit conducts a simulation evaluation on the generated scheduling strategy to ensure the effectiveness of the strategy. The strategy includes, but is not limited to, adjusting the route, increasing or decreasing the shifts, setting temporary stops, optimizing the departure interval and adjusting the vehicle speed. Intelligent data analysis and prediction module, which is composed of a data preprocessing unit, a machine learning analysis unit, and a prediction result output unit; the data preprocessing unit is used to clean, deduplicate, and format the collected data of satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow, road administration information, and weather conditions; the machine learning analysis unit uses advanced algorithm models to perform in-depth learning and analysis on the preprocessed data to predict the traffic flow, congestion trend, and passenger demand in the short term in the future; the prediction result output unit outputs the prediction results in the form of visual charts or data interfaces for the use of the dynamic adjustment strategy generation module; the intelligent data analysis and prediction module also includes a model optimization and update unit, which continuously optimizes and updates the algorithm models in the machine learning analysis unit according to the real-time feedback of operating vehicle information, passenger feedback, and actual traffic conditions to improve the accuracy and reliability of the prediction; at the same time, it is responsible for regularly evaluating the model performance to ensure that the model always maintains the best state; User service interface and interaction module, which is composed of a user query unit, an information feedback unit, and a personalized service unit; the user query unit provides a convenient query interface, allowing users to query the location of operating vehicles, estimated arrival time, road conditions information, and riding suggestions in real time through mobile phone APPs, websites, and WeChat official accounts; the information feedback unit is used to receive the feedback opinions and suggestions of users to continuously improve the platform service; the personalized service unit provides customized travel plans and recommendation services according to the travel habits and preferences of users to enhance the user experience; System security and privacy protection module, which is composed of a data encryption unit, an access control unit, and a security monitoring unit; the data encryption unit uses advanced encryption algorithms to encrypt the data stored and transmitted in the platform to ensure the security of the data; the access control unit implements strict access control policies, and only authorized users and systems can access sensitive data; the security monitoring unit monitors the system operation status in real time, discovers and processes potential security threats and vulnerabilities in a timely manner to ensure the stable operation of the platform and the security of user privacy.

[0022] The components not detailed in this article are prior art.

[0023] Although the specific embodiments of the present invention have been described in detail above, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those of ordinary skill in the art, various changes can be made without departing from the purpose of the present invention, and modifications or deformations without creative labor are still within the protection scope of the present invention.

Claims

1. A dynamic dispatching operation platform for efficient and intelligent traffic operation, characterized in that: Includes the following modules and systems: Satellite positioning system, real-time tracking of the location of operating vehicles, providing dynamic information on vehicle location, speed and driving direction. The location information is updated every 1-3 seconds, and the positioning accuracy is not less than 5 meters. Traffic monitoring system, monitoring traffic flow at key intersections and sections, with video data frame rate of 25-60 frames per second, resolution no less than 1080p, and night vision and automatic exposure adjustment functions; The user mobile phone query information recording module at least includes collecting the user's own location information and query time information. The user location information update frequency is related to the user's movement speed, but not less than 1-3 minutes / time, and the query time information is accurate to seconds; The vehicle passenger flow information module collects the passenger flow of high-speed railway stations, railway stations and airports in real time, including the number of passengers entering, leaving and transferring. The data is updated every 5-15 minutes. The information collection and integration guidance module is based on the information collected by the above module system. In addition, the additional road administration information received is integrated with the assistance of computers, and guided according to the weather condition information released by the local meteorological department.

2. According to claim 1, a dynamic dispatching operation platform for efficient and intelligent traffic operation is characterized by: The information collection and integration module also includes a road administration information receiving unit, an information integration unit and a weather condition guidance unit. The road administration information receiving unit is used to receive information on road construction and road closures; the information integration unit is used to integrate satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow information and road administration information to form a comprehensive traffic information database; the weather condition guidance unit is used to receive weather condition information released by the local meteorological department, and combine it with the integrated traffic information to guide and release the information.

3. The dynamic dispatching operation platform for efficient and intelligent traffic operation according to claim 1 is characterized by: It also includes an operating vehicle information feedback module, which consists of a real-time feedback unit and a driver feedback unit. The real-time feedback unit uses operating vehicles, including buses, taxis and online-hailing cars, to feedback vehicle passenger status, destination information and emergency accident information through wireless communication; the driver feedback unit is used for road congestion caused by sudden accidents on the road, and the driver can promptly feedback the road conditions through the platform.

4. The dynamic dispatching operation platform for efficient and intelligent traffic operation according to claim 3 is characterized by: The traffic monitoring system also includes an intersection congestion monitoring unit and an emergency accident monitoring unit. The intersection congestion monitoring unit monitors the road conditions at different time periods at intersections of 1-5 kilometers in scenic spots, schools, business buildings, large factories and supermarkets through traffic cameras, calculates the length of vehicle queues and driving speeds, so as to evaluate the congestion conditions at intersections; the emergency accident monitoring unit is used to receive the road condition information fed back by the driver feedback unit in real time, and promptly discover and report emergency traffic accidents through traffic monitoring.

5. The dynamic dispatching operation platform for efficient and intelligent traffic operation according to claim 1 is characterized by: It also includes a dynamic adjustment strategy generation module, which is composed of a strategy generation unit and a strategy evaluation unit. The strategy generation unit generates a scheduling strategy for operating vehicles in real time based on the integrated traffic information, weather conditions and feedback information from operating vehicles; the strategy evaluation unit simulates and evaluates the generated scheduling strategy to ensure the effectiveness of the strategy. The strategy includes but is not limited to adjusting routes, increasing or decreasing shifts, setting up temporary stops, optimizing departure intervals and adjusting vehicle speeds.

6. The dynamic dispatching operation platform for efficient and intelligent traffic operation according to claim 5 is characterized by: The strategy generation unit also includes a route adjustment subunit, a shift increase / decrease subunit, and a temporary station setting subunit. The route adjustment subunit dynamically adjusts the driving route of the operating vehicle according to the congestion condition of the intersection, weather conditions, and passenger flow; The shift increase and decrease subunit increases and decreases the shifts of operating vehicles in real time according to passenger flow and road congestion conditions; The temporary site setting subunit temporarily sets a site for operating vehicles according to locations or sections with large passenger or tourist flows.

7. The dynamic dispatching operation platform for efficient and intelligent traffic operation according to claim 1 is characterized by: It also includes an intelligent data analysis and prediction module, which is composed of a data preprocessing unit, a machine learning analysis unit and a prediction result output unit; the data preprocessing unit is used to clean, remove duplicates and format the collected satellite positioning, traffic monitoring, user mobile phone query records, vehicle passenger flow, road administration information and weather condition data; The machine learning analysis unit uses advanced algorithm models to perform deep learning and analysis on the preprocessed data to predict traffic flow, congestion trends and passenger demand in the short term in the future; the prediction result output unit outputs the prediction results in the form of visual charts or data interfaces for use by the dynamic adjustment strategy generation module.

8. The dynamic dispatching operation platform for efficient and intelligent traffic operation according to claim 7 is characterized by: The intelligent data analysis and prediction module also includes a model optimization and update unit, which continuously optimizes and updates the algorithm model in the machine learning analysis unit based on real-time feedback of operating vehicle information, passenger feedback and actual traffic conditions to improve the accuracy and reliability of the prediction; at the same time, it is responsible for regularly evaluating the model performance to ensure that the model is always kept in the best condition.

9. The dynamic dispatching operation platform for efficient and intelligent traffic operation according to claim 1, characterized in that: It also includes a user service interface and interaction module, which consists of a user query unit, an information feedback unit and a personalized service unit; the user query unit provides a convenient query interface, allowing users to query the location, estimated arrival time, road condition information and ride suggestions of operating vehicles in real time through mobile phone APP, website and WeChat public account; The information feedback unit is used to receive feedback and suggestions from users in order to continuously improve platform services; The personalized service unit provides customized travel plans and recommended services according to the user's travel habits and preferences to improve the user experience.

10. A dynamic dispatching operation platform for efficient and intelligent traffic operation according to any one of claims 1 to 9, characterized in that: It also includes a system security and privacy protection module, which consists of a data encryption unit, an access control unit and a security monitoring unit; the data encryption unit uses an advanced encryption algorithm to encrypt the data stored and transmitted in the platform to ensure the security of the data; the access control unit implements a strict access control policy, and only authorized users and systems can access sensitive data; The security monitoring unit monitors the system operation status in real time, promptly discovers and handles potential security threats and loopholes, and ensures the stable operation of the platform and the security of user privacy.