Eco-driving-based mixed vehicular platoon control model for successive signalized intersections

Pangwei Wang, Xindi Wang, Rongsheng Ye, Yuanze Sun, Cheng Liu, Juan Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Electric vehicles have been considered into effective solutions to address energy problems in urban traffic systems for their remarkable performance in energy costs and carbon emissions reduction. However, the energy-saving effect of electric vehicles in urban traffic systems is restricted due to the complexities arising from mixed traffic conditions. To improve energy efficiency, this paper proposes an eco-driving-based mixed vehicular platoon control model for successive signalized intersections with connected and autonomous vehicles (CAVs), connected vehicles (CVs) and manned vehicles (MVs). Firstly, the dynamics model and spacing policy are analyzed, then the optimal platoon size and speed are calculated according to different traffic scenarios. Secondly, the mixed vehicular platoon control algorithm is established by considering traffic timing, energy consumption and string stability. Thirdly, an actual eco-driving-based platoon control system for tested electric vehicles is designed. The field test results demonstrate that all platoons can pass through intersections during green phase with minimum energy consumption, meanwhile the string stability can be guaranteed. It is noteworthy that the proposed model can greatly improve urban traffic capacity and energy efficiency.
Original languageEnglish
Article number129641
Number of pages21
JournalPhysica A: Statistical Mechanics and its Applications
Early online date4 Mar 2024
Publication statusPublished - 1 Apr 2024

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