Freeway traffic flow cellular automata model based on mean velocity feedback

Junwei Zeng, Yongsheng Qian, Pengfei Mi, Chaoyang Zhang, Fan Yin, Leipeng Zhu and Dejie Xu

Physica A: Statistical Mechanics and its Applications, 2021, vol. 562, issue C

Abstract: Making full use of real-time feedback traffic information to guide road traffic is one of the hot spots in the field of intelligent transportation system, which has practical significance for improving travel efficiency and reducing congestion. This paper proposes a new average speed feedback strategy based on real-time information, and uses it to improve the MCD model. The fundamental diagram, space–time diagram and flow interruption effect diagram obtained by simulation show that the results are consistent with the three-phase flow theory. It is found that in the free flow phase, the mean velocity feedback enables vehicles to adjust the velocity, accelerate the dissipation of the deceleration wave and maintain the stability of the traffic flow. In contrast, in the synchronized flow phase, the mean velocity feedback strategy keeps the traffic flow constant, reduces the velocity disturbance caused by the drivers’ own factors and improves the road operation efficiency.

Keywords: Traffic flow; MCD model; Mean velocity feedback; Deceleration wave (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:562:y:2021:i:c:s0378437120307329

DOI: 10.1016/j.physa.2020.125387

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