非均匀路段交通流的元胞自动机模拟

doi:10.12066/j.issn.1007-2861.2391

Abstract

Abstract:

Traffic flow characteristics on non-uniform road sections under traffic light controls were investigated using a refined velocity-dependent-randomization (VDR) model, considering three traffic light strategies: in-phase, anti-phase, and self-organizing. The effects of traffic light strategies on road traffic efficiency are analyzed under the periodic boundary. The simulation results show that for uniform road sections, the green wave phenomenon occurs at low densities using in-phase and anti-phase traffic light strategies. It was found that the traffic flow under the in-phase strategy is insensitive to variation in road length. In contrast, the traffic flow under the anti-phase strategy is sensitive to variation in road length, and the green wave phenomenon is suppressed, particularly when a short road section is significantly smaller than the average road length. Under the self-organizing traffic light strategy, fundamental diagrams are insensitive to variations in road length. Moreover, the traffic efficiency on the multi-section road is significantly improved, and the green wave phenomenon is replicated within a specific density range.

Key words: cellular automaton, velocity-dependent-randomization (VDR) model, self-organizing traffic light, green wave

CLC Number:

ZHOU Wenhai, LI Shujian, DONG Liyun. Simulation of traffic flow on non-uniform road sections with cellular automaton model[J]. Journal of Shanghai University（Natural Science Edition）, 2022, 28(4): 594-607.

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Simulation of traffic flow on non-uniform road sections with cellular automaton model

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