Joint Dynamic Bus Platooning Formation and Trajectory Planning Optimization on a Transit Corridor

Bus platooning on urban bus corridors can improve the efficiency of dedicated bus lanes and reduce energy consumption. However, due to the multiple routes operating on the bus corridor, bus platooning may induce congestion at the bus stops and disturb regular headway. To address these bus operational issues, this paper proposes a two-stage dynamic bus platooning model considering bus routes and provides safe and efficient trajectory planning for buses in each platoon. To solve the proposed model, a Particle Swarm Optimization embedded Dynamic Programming algorithm is customized to find the time of leaving and joining the platoon, and Broyden-Fletcher-Goldfarb-Shanno Sequential Quadratic Programming method is used to control the trajectories of bus platooning in real time. Using the SUMO simulator, a real-world case study is conducted to show the effectiveness of the proposed method over traditional methods. The results show that the fuel consumption is reduced by 18.23%, operational efficiency is improved by 8.15%, and the average passenger waiting time is decreased by 5.73%. Sensitivity analysis reveals the impact of the number of routes, fleet size and stop spacing on system performance. The proposed dynamic platooning method outperforms the CACC method across different fleet sizes. Results show that the desired fleet size is greater than 60 buses, the stop spacing is greater than 500 m, especially in large cities or long-distance bus systems.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-08-28
DOI
https://doi.org/10.1109/tits.2025.3567991
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint Dynamic Bus Platooning Formation and Trajectory Planning Optimization on a Transit Corridor

Yun Yuan, Yukun Yuan, Xin Li, Meng Li et al.
IEEE Transactions on Intelligent Transportation Systems
Traffic control and management
article

Joint Dynamic Bus Platooning Formation and Trajectory Planning Optimization on a Transit Corridor

Yun Yuan, Yukun Yuan, Xin Li, Meng Li, Bangjun Yuan
article en

Abstract

Bus platooning on urban bus corridors can improve the efficiency of dedicated bus lanes and reduce energy consumption. However, due to the multiple routes operating on the bus corridor, bus platooning may induce congestion at the bus stops and disturb regular headway. To address these bus operational issues, this paper proposes a two-stage dynamic bus platooning model considering bus routes and provides safe and efficient trajectory planning for buses in each platoon. To solve the proposed model, a Particle Swarm Optimization embedded Dynamic Programming algorithm is customized to find the time of leaving and joining the platoon, and Broyden-Fletcher-Goldfarb-Shanno Sequential Quadratic Programming method is used to control the trajectories of bus platooning in real time. Using the SUMO simulator, a real-world case study is conducted to show the effectiveness of the proposed method over traditional methods. The results show that the fuel consumption is reduced by 18.23%, operational efficiency is improved by 8.15%, and the average passenger waiting time is decreased by 5.73%. Sensitivity analysis reveals the impact of the number of routes, fleet size and stop spacing on system performance. The proposed dynamic platooning method outperforms the CACC method across different fleet sizes. Results show that the desired fleet size is greater than 60 buses, the stop spacing is greater than 500 m, especially in large cities or long-distance bus systems.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(9)
Dalian Maritime University (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 73%
Traffic control and management
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