Distributed Cooperative Backpressure-Based Traffic Light Control Method

Shenxue Hao,Yajuan Guo,Licai Yang,Li Ding

doi:10.1155/2019/7481489

Shenxue Hao, Yajuan Guo + Show 2 more

Open Access

https://doi.org/10.1155/2019/7481489

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Abstract

On the foundation of the original backpressure-based traffic light control algorithm, a distributed cooperative backpressure-based traffic light control method is proposed in this paper. The urban traffic network is modeled as a smart agent-controlled queuing network, in which the intersection agents exchange the queue length information and the selected activating light phase information of neighboring intersections through communications and determine the activating light phase at each time slot according to local traffic information. The improved phase pressure computation method considers the phase state of downstream intersections instead of only the queue length of the local intersections. Light phase switching coordination among adjacent intersections is achieved using the consensus-based bundle algorithm, in which the cooperative light phase switching problem is viewed as a task assignment issue among adjacent intersections. Simulation results illustrated that the proposed cooperative backpressure-based traffic light control method obtained better performance than the original backpressure-based and fixed-time traffic control methods.

Highlights

With the increase of vehicles travelling on roads in cities, congestion has become a major problem for urban traffic systems
A cooperative backpressure-based traffic light control method is proposed to improve the efficiency of urban traffic network
The traffic network is modeled as a queuing network, in which the light phases of each intersection are controlled by Smart Traffic Light Control Agents (STLCA)

Summary

Introduction

With the increase of vehicles travelling on roads in cities, congestion has become a major problem for urban traffic systems. To further improve the efficiency of the traffic network, Taale et al integrated route guidance technology with traffic signal control based on the backpressure algorithm [20], and Le et al proposed a cyclic phase backpressure control policy with online estimation of turning fraction and measurement of queue size [21]. These backpressure-based traffic light control methods only determine the activating light phase according to the phase pressure computed using local information and neglect the possible coordination with adjacent intersections for phase pressure computation.

Traffic Network Modeling

Pressure Computation Method of Light Phase

Cooperative Light Phase Switching Decision Using CBBA

Stability Analysis

Simulation and Discussion

Conclusion