Dynamic path control strategy for vehicle

Abstract

The invention discloses a dynamic path control strategy for a vehicle, which comprises the steps that geographical location information and time information are obtained, all possible paths are 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 pathof the vehicle, and the corresponding speed is selected to serve as the driving speed. According to the invention, exceptional situations such as traffic accidents happened in a road section are especially taken into consideration, and an exceptional time data processing method is provided so as to provide a good control strategy. The calculated latest passage time data of the previous section istimely utilized in particular, and thus dynamic planning is realized on time selection of the sections, so that the acquired driving time is reliable, the driving path is very scientific, and the accuracy in the sense of probability is achieved.

Description

technical field [0001] The invention relates to the technical field of control strategies considering path information, in particular to a dynamic path control strategy for vehicles. Background technique [0002] At present, people's requirements for travel are getting higher and higher, and they hope to reach their destinations as soon as possible. However, cities, especially super-large cities such as Shanghai and Beijing, are getting bigger and bigger, with more and more roads. There are various traffic jams in the central city and complex road sections, such as One-way streets are common in downtown Shanghai. [0003] In the past, the road route selection strategy often only considered the most important main road, and guided the vehicle to the main road as much as possible, so the database was too small, and the result was often too different from the actual one, and the speed was determined by the driver, which was very random. , may not be optimal; for route selectio...

AI Technical Summary

Problems solved by technology

[0003] In the past, the road route selection strategy often only considered the most important main road, and guided the vehicle to the main road as much as possible, so the database was too small, and the result was often too different from the actual one, and the speed was determined by the driver, which was very random. , may not be optimal; for route selection, the existing technologies are basically static processing or simple real-time selection of various navigations, the data processing is extremely rough, the accuracy rate is very low, and the past traffic data cannot be well excavated. Therefore, the selection strategy is not good, and the destination cannot be reached in the shortest time