Velocity Trajectory Planning of Electric Vehicles with Consideration of the Passenger's Individual Preferences

The current velocity planning strategy (VPS) for autonomous vehicles (AVs) mainly focus on improving travel economy of the vehicle, while the individual preferences of different passenger groups and their interference and impact on the velocity planning strategy are ignored. A personalized velocity planning strategy is proposed in this paper, which takes into account the passengers' personalized preferences for travel efficiency, ride comfort, and travel economy. Firstly, based on the NGSIM dataset, a quantitative analysis of the velocity, maximum acceptable acceleration and time headway preferred by different groups of drivers is performed. Then, based on the dynamic programming (DP) algorithm, the vehicle velocity planning strategy is designed with consideration of passengers' preferred speed, terrain slope, as well as road restrictions such as: intersection traffic lights, and cruising speed limit, etc. Finally, the bisection method is deployed to solve the optimal coefficients for the target speeds of different passengers. Simulation results show that the proposed velocity planning strategy can help diverse passengers to plan personalized economic trajectories.