The 20th and 21st joint COTA International Conference of Transportation Professionals (CICTP 2020-21)

The emergence of new energy vehicles, especially electric vehicles, has brought huge development prospects. The problem of power loss of private electric vehicles will cause long-distance travel panic for drivers. Therefore, this paper proposes a charging path planning method for electric vehicles considering the influence of road condition information. This paper first analyzes the influence of energy consumption of electric vehicles in the process of driving, the delay estimation of vehicles under the control of different phase signals and the problem of traffic impedance. Based on this, the path planning model is established and the charging path planning of electric vehicles under the influence of road condition information is studied. Finally, A* algorithm and Python programming were used to solve the model, and the feasibility of the model was verified by comparing different path selection results with and without traffic signal control, which provided A theoretical basis for the research of path intelligent guidance system.

CICTP