Rhythmic Control of Automated Traffic—Part I: Concept and Properties at Isolated Intersections

Xiangdong Chen (), Meng Li (), Xi Lin (), Yafeng Yin () and Fang He ()
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Xiangdong Chen: Department of Civil Engineering, Tsinghua University, 100084 Beijing, People’s Republic of China
Meng Li: Department of Civil Engineering, Tsinghua University, 100084 Beijing, People’s Republic of China
Xi Lin: Department of Civil Engineering, Tsinghua University, 100084 Beijing, People’s Republic of China
Yafeng Yin: Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
Fang He: Department of Industrial Engineering, Tsinghua University, 100084 Beijing, People’s Republic of China

Transportation Science, 2021, vol. 55, issue 5, 969-987

Abstract: Leveraging the accuracy and consistency of vehicle motion control enabled by the connected and automated vehicle technology, we propose the rhythmic control (RC) scheme that allows vehicles to pass through an intersection in a conflict-free manner with a preset rhythm. The rhythm enables vehicles to proceed at a constant speed without any stop. The RC is capable of breaking the limitation that right-of-way can only be allocated to nonconflicting movements at a time. It significantly improves the performance of intersection control for automated traffic. Moreover, the RC with a predetermined rhythm does not require intensive computational efforts to dynamically control vehicles, which may possibly lead to frequent accelerations or decelerations. Assuming stationary vehicle arrivals, we conduct a theoretical investigation to show that RC can considerably increase intersection capacity and reduce vehicle delay. Finally, the performance of RC is tested in the simulations with both stationary and nonstationary vehicle arrivals at both symmetric and asymmetric intersections.

Keywords: rhythmic control; conflicting points; average vehicle delay; admissible demand set; connected automated vehicles (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:55:y:2021:i:5:p:969-987

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