A Distributed Architecture for Real-time Hybrid Traffic Light Control in Urban Transportation Networks

2020/02/24 by Yicheng Zhang, Zhang, Yicheng
Computer Science · Engineering · Mathematics · #Advanced Optical Network Technologies #Embedded Systems and FPGA Design #Network Time Synchronization Technologies #math.OC

paper · pdf · doi:10.48550/arxiv.2002.10079

This is a brief summary of the talk presented during the IEEE ITSS Young Professionals Workshop affiliated with IEEE Intelligent Transportation Systems Conference 2019 at Auckland, New Zealand

arxiv created 2020/02/24 · arxiv updated 2020/02/25

Abstract

A macroscopic model is proposed to depict the traffic dynamics involved in urban traffic systems. The link dynamics are described based on the cell-transmission model and bounded by the link capacities, while the flow dynamics are proposed based on the discharge headways and saturation flow at intersections. To fulfill the requirement of a closed-loop traffic light control strategy, an approach to estimate the branching ratios at intersections is proposed and simulations show that the convergence would be achieved under constant cyclic flow profiles. Furthermore, a system partitioning approach is proposed based congestion level identification, which is achieved via a machine learning method and a hybrid traffic network control strategy is proposed to integrate different traffic light control schemes together.

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