Dynamic path and speed control strategy for vehicle

Abstract

The invention discloses a dynamic path and speed control strategy for a vehicle, which comprises the steps that geographical location information and time information are obtained, all possible pathsare determined, specific sections of each path are determined, the time tij of each section is determined, the time T1, T2,..., Tn of each path is determined, that is, the sum of the time of the sections of each path i is calculated, namely, Ti=ti1+ti2+...+tim; and a minimum value Ta of the time T1, T2,..., Tn is taken so as to obtain a target path a, the path a is selected to serve as a final driving path of the vehicle, and the corresponding speed is selected to serve as the driving speed. According to the dynamic path and speed control strategy provided by the invention for the vehicle, previous traffic data is mined and utilized, different road passage speeds of different sections are provided, a corresponding fastest path and speed from a departure place to the destination are found,and users are ensured to arrive at the destination in the shortest time.

Description

technical field [0001] The invention relates to the technical field of control strategies considering path information, in particular to a dynamic path and speed control strategy of a vehicle. Background technique [0002] At present, people's requirements for travel are getting higher and higher, and they hope to reach their destination as soon as possible. There are many traffic jams in the central urban area, and the road conditions are complicated. For example, one-way streets are common in the central urban area of ​​Shanghai. [0003] For the path selection of the vehicle-mounted control and command system, the existing technologies are basically static processing or simple real-time selection of various navigations. The results are often too different from the actual ones, and the speed is still determined by the driver. Extremely rough, the accuracy rate is very low, and the past traffic data has not been well excavated, so the selection strategy is not good, and th...

AI Technical Summary

Problems solved by technology

[0003] For the path selection of the on-board control and command system, the existing technologies are basically static processing or simple real-time selection of various navigations. The results are often too different from the actual ones, and the speed is still determined by the driver. Extremely rough, the accuracy rate is very low, and the past traffic data has not been well excavated, so the selection strategy is not good, and the destination cannot be reached in the shortest time