Search

CN-122022261-A - Closed park connection vehicle dispatching system and method based on dynamic demand response

CN122022261ACN 122022261 ACN122022261 ACN 122022261ACN-122022261-A

Abstract

The invention relates to a closed park connection vehicle dispatching system and method based on dynamic demand response, wherein the system comprises a user interaction end, a user interaction end and a vehicle dispatching end, wherein the user interaction end is used for providing an interface of a park electronic map and acquiring a vehicle using request of a user, and the vehicle using request comprises a starting point coordinate, an end point coordinate, a time requirement and the number of people; the cloud scheduling platform is used for receiving a vehicle request of a user interaction end, monitoring the vehicle states and road condition information of all the connected vehicles in the park, carrying out overall optimization calculation based on the user request, the vehicle states, the park electronic map and the road condition information, determining assigned connected vehicles, planning a real-time optimal driving path of the connected vehicles to form vehicle instructions, and issuing the vehicle instructions to the corresponding connected vehicles, and the connected vehicles are used for receiving and executing the vehicle instructions issued by the cloud scheduling platform and reporting the self positioning coordinates to the cloud scheduling platform in real time. Compared with the prior art, the invention has the advantages of greatly improving the experience of passengers, improving the operation efficiency and the like.

Inventors

  • QIU SHAOFENG
  • YIN CHENGLIANG
  • ZOU QI
  • WU YUEPENG

Assignees

  • 上智联(深圳)智能科技有限公司

Dates

Publication Date
20260512
Application Date
20251229

Claims (10)

  1. 1. A closed campus docking vehicle dispatch system based on dynamic demand response, comprising: the user interaction end is used for providing an interface of the electronic map of the park, acquiring the vehicle use request of the user, the car request comprises a starting point coordinate, an ending point coordinate, a time requirement and the number of people; The cloud scheduling platform is used for receiving a vehicle-using request of a user interaction end, monitoring the vehicle states and road condition information of all connected vehicles in a park, carrying out global optimization calculation based on the user request, the vehicle states, the park electronic map and the road condition information, determining assigned connected vehicles, planning a real-time optimal running path from the current position to the starting point coordinates and the end point coordinates of the vehicle-using request of the connected vehicles, forming a vehicle instruction, and issuing the vehicle instruction to the corresponding connected vehicles; The vehicle connection is used for receiving and executing the vehicle instruction issued by the cloud scheduling platform and reporting the self-positioning coordinates to the cloud scheduling platform in real time.
  2. 2. The closed campus docking vehicle scheduling system based on dynamic demand response of claim 1, wherein the cloud scheduling platform comprises: the request receiving and processing module is used for receiving a vehicle-using request of the user interaction end; The system comprises a dynamic dispatching optimization engine, a global optimization calculation and a calculation unit, wherein the dynamic dispatching optimization engine is used for monitoring the vehicle states and road condition information of all connected vehicles in a park, carrying out global optimization calculation based on a user request, the vehicle states, a park electronic map and the road condition information, determining assigned connected vehicles, and planning an optimal path from the current position of the connected vehicles to a starting point coordinate and a terminal point coordinate of a vehicle request in sequence; The path planning module is used for recalculating a real-time optimal running path from the current position to the starting point coordinate and the end point coordinate of the vehicle request in sequence for the assigned connected vehicle according to the user request and the dynamic change of the road condition information; and the vehicle instruction issuing module is used for generating vehicle instructions in real time according to the output of the dynamic scheduling optimization engine and the path planning module and issuing the vehicle instructions to the assigned connection vehicles.
  3. 3. The closed campus docking vehicle dispatch system based on dynamic demand response of claim 2, wherein the optimization objectives of the global optimization calculations include minimizing total passenger waiting time, minimizing total passenger travel time, minimizing total vehicle range or energy consumption, maximizing vehicle utilization or ride sharing, and balancing vehicle loads.
  4. 4. The closed-park connected vehicle scheduling system based on dynamic demand response of claim 2, wherein the global optimization calculation process further performs similarity judgment on the plurality of vehicle requests, and if the start coordinates or the end coordinates of the plurality of vehicle requests are adjacent in time and meet the optimization target of the global optimization calculation, the plurality of vehicle requests are combined to perform optimization of the common-passenger path.
  5. 5. The closed campus junction vehicle scheduling system based on dynamic demand response of claim 2, wherein the vehicle status of the junction vehicle includes location, power/duration, passenger status, current task list, and health status.
  6. 6. A closed park connected vehicle scheduling system based on dynamic demand response as claimed in claim 1 wherein said connected vehicle is an autonomous vehicle.
  7. 7. The closed campus connection vehicle dispatching system based on dynamic demand response according to claim 6, wherein the connection vehicles travel to a specified position according to the received real-time optimal travel path based on an on-board sensor and a campus electronic map and are sent to a terminal point.
  8. 8. The closed campus docking vehicle dispatching system based on dynamic demand response of claim 7, wherein the on-board sensors include lidar, cameras, millimeter wave radar, GNSS/RTK modules, and IMU modules.
  9. 9. The closed campus docking vehicle scheduling system based on dynamic demand response of claim 1, further comprising a management background connected to the cloud scheduling platform for monitoring overall operation status and configuration parameters of the system.
  10. 10. A method of closed campus junction vehicle dispatch for a closed campus junction vehicle dispatch system based on dynamic demand response as claimed in any one of claims 1 to 9, comprising the steps of: Selecting a starting point coordinate and an ending point coordinate on an interface of the electronic map of the park through a user interaction end, inputting a time requirement and the number of people, and generating a vehicle using request of a user; The user interaction end sends the vehicle use request to the cloud scheduling platform; Carrying out global optimization calculation based on a user request, a vehicle state, a park electronic map and road condition information by a cloud scheduling platform according to a vehicle request in real time or before the time request, determining an assigned connection vehicle, and planning a real-time optimal running path from a current position to a starting point coordinate and a terminal point coordinate of the vehicle request to form a vehicle instruction; Issuing a vehicle instruction to the assigned connection vehicle by the cloud scheduling platform; after receiving a vehicle instruction, the vehicle end control system of the connected vehicle automatically drives to go to the corresponding starting point coordinates to connect passengers based on the electronic map of the park and real-time perception; After the connected vehicle reaches the starting point coordinates, sending a get-on notification to a user interaction end; after the passengers are confirmed to be received, the connected vehicles automatically drive to the corresponding terminal coordinates; After reaching the destination coordinates, the passenger gets off the vehicle.

Description

Closed park connection vehicle dispatching system and method based on dynamic demand response Technical Field The invention relates to the technical field of park vehicle dispatching, in particular to a closed park connection vehicle dispatching system and method based on dynamic demand response. Background The park connection vehicle is applied to a closed or semi-closed park (such as a science and technology park, a university campus, a large factory, a theme park and the like), and is a short-distance connection vehicle for connecting all parts of an industrial park. The existing park connection vehicle has the following technical problems: 1. Fixed route/station limitations conventional campus docking vehicles (whether or not autopilot) typically employ fixed routes and stations with poor flexibility. Passengers need to walk to the station to wait, so that convenient service of 'door to door' or 'any point to any point' cannot be realized, and experience is poor especially when the distance in a park is far or the weather is poor. 2. The response is lagged, the reserved class usually needs to reserve in advance for a long time, the departure time is fixed, and the instant or temporary travel requirement of the user is difficult to meet. 3. The resource utilization efficiency is low, and a fixed route may lead to a high vehicle empty rate (especially in off-peak hours), or insufficient capacity in peak hours and long waiting time for passengers. The lack of dynamic optimization results in low vehicle and energy utilization. 4. The user experience is poor, passengers cannot flexibly call according to the real-time position and the destination, and the waiting time and the travel time are uncontrollable. 5. The traditional network car-booking mode is not applicable, and the problems of management, safety, cost and the like exist when the social network car-booking mode is used in a closed park. Existing dispatching systems for automatic driving focus on RoboTaxi of open roads or park ferry of fixed routes, and lack an optimized scheme for dynamic connection of 'random starting and ending points' in closed parks. Some parks try to call vehicles by using APP, but the scheduling logic is simple (such as first come first get, and assign the nearest vehicle), and the comprehensive dynamic optimal path planning on multiple vehicles, multiple orders and real-time road conditions is lacking, so that the global optimization of the complete journey chain of 'starting point connect- > send person to end point' cannot be effectively processed. Disclosure of Invention The invention aims to overcome the defects of the prior art and provide a closed park connection vehicle dispatching system and method based on dynamic demand response, which combine user on-demand reservation, dynamic path planning and real-time dispatching optimization. The aim of the invention can be achieved by the following technical scheme: a closed park connected vehicle dispatch system based on dynamic demand response, comprising: the user interaction end is used for providing an interface of the electronic map of the park, acquiring the vehicle use request of the user, the car request comprises a starting point coordinate, an ending point coordinate, a time requirement and the number of people; The cloud scheduling platform is used for receiving a vehicle-using request of a user interaction end, monitoring the vehicle states and road condition information of all connected vehicles in a park, carrying out global optimization calculation based on the user request, the vehicle states, the park electronic map and the road condition information, determining assigned connected vehicles, planning a real-time optimal running path from the current position to the starting point coordinates and the end point coordinates of the vehicle-using request of the connected vehicles, forming a vehicle instruction, and issuing the vehicle instruction to the corresponding connected vehicles; The vehicle connection is used for receiving and executing the vehicle instruction issued by the cloud scheduling platform and reporting the self-positioning coordinates to the cloud scheduling platform in real time. Further, the cloud scheduling platform includes: the request receiving and processing module is used for receiving a vehicle-using request of the user interaction end; The system comprises a dynamic dispatching optimization engine, a global optimization calculation and a calculation unit, wherein the dynamic dispatching optimization engine is used for monitoring the vehicle states and road condition information of all connected vehicles in a park, carrying out global optimization calculation based on a user request, the vehicle states, a park electronic map and the road condition information, determining assigned connected vehicles, and planning an optimal path from the current position of the connected vehicles to a starting point coordinate and a terminal point coo