APC: Adaptive Platoon Control Scheme for Urban Traffic Signal Intersections

Urban traffic systems are becoming increasingly congested, leading to severe exhaust pollution, with intersections acting as bottlenecks in these systems. Fortunately, platoon driving can reduce fuel consumption and emissions on roads while improving intersection throughput. However, due to the complexity of intersections, the application of platoon driving still faces significant challenges. Existing studies often encounter reduced traffic efficiency when multiple platoons wait simultaneously. In this paper, we propose an adaptive platoon control scheme named APC for intersection scenarios to reduce travel time and fuel consumption during the passage through intersections. APC includes two main components: speed trajectory planning and optimal length planning. The speed trajectory planning minimizes delay and fuel consumption at intersections, and the optimal length planning ensures correct platoon maneuvers before intersection passage. Simulation experiments on the open-source platform VENTOS show that APC reduces travel time and fuel consumption by 20.30% and 13.99%, respectively, compared to similar methods. Particularly in high-density traffic, APC reduces travel time and fuel consumption by 23.08% and 19.58%, respectively.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-03-26
DOI
https://doi.org/10.1109/tvt.2025.3554827
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

APC: Adaptive Platoon Control Scheme for Urban Traffic Signal Intersections

Xianjun Deng, Yeong‐Shiau Pu, Zhuangzhuang Zhang, Shenghao Liu et al.
IEEE Transactions on Vehicular Technology
Traffic control and management
article

APC: Adaptive Platoon Control Scheme for Urban Traffic Signal Intersections

Xianjun Deng, Yeong‐Shiau Pu, Zhuangzhuang Zhang, Shenghao Liu, Enshu Wang, Bingyi Liu, Libing Wu
article en

Abstract

Urban traffic systems are becoming increasingly congested, leading to severe exhaust pollution, with intersections acting as bottlenecks in these systems. Fortunately, platoon driving can reduce fuel consumption and emissions on roads while improving intersection throughput. However, due to the complexity of intersections, the application of platoon driving still faces significant challenges. Existing studies often encounter reduced traffic efficiency when multiple platoons wait simultaneously. In this paper, we propose an adaptive platoon control scheme named APC for intersection scenarios to reduce travel time and fuel consumption during the passage through intersections. APC includes two main components: speed trajectory planning and optimal length planning. The speed trajectory planning minimizes delay and fuel consumption at intersections, and the optimal length planning ensures correct platoon maneuvers before intersection passage. Simulation experiments on the open-source platform VENTOS show that APC reduces travel time and fuel consumption by 20.30% and 13.99%, respectively, compared to similar methods. Particularly in high-density traffic, APC reduces travel time and fuel consumption by 23.08% and 19.58%, respectively.

IEEE Transactions on Vehicular TechnologyVol. 74(8)
Wuhan University of Technology (CN), Wuhan University (CN), Huazhong University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 94%
Traffic control and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.