Simulation and Evaluation of CAVs Behavior in an Isolated Signalized Intersection Equipped with Dynamic Wireless Power Transfer System

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This paper proposes an idea of charging eco-driving connected autonomous vehicles (CAVs) which drive smoothly passing signalized intersection above a dynamic wireless power transfer (DWPT) system consisting of segmented coils at the upstream of approaching lanes. Mixed traffic streams with different penetration levels of eco-driving CAVs passing through a DWPT system-equipped signalized intersection are simulated using microscopic traffic simulation software PTV-VISSIM. Energy stored, which is defined as the result of energy transferred to the vehicle battery by DWPT system subtracting energy consumed by the vehicle battery whilst travelling the same distance, is used to evaluate the total impact of eco-driving behavior on energy consumption and charging capacity. The simulation results show that at full CAV penetration rate, there are 62% reduction of average energy consumption of all types of vehicles and 10% increase of average energy stored per battery electric vehicle compared to full HVs case. This indicates that the eco-driving driving behavior has a positive impact on the energy stored powered by the DWPT system designed in this paper.

2019 IEEE Intelligent Transportation Systems Conference (ITSC)
Simon Hu
Assistant Professor