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  4. Vol 7, Issue 10, 2023

Traffic guidance measures based on vehicle-road cooperation under accident conditions

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DOI: 10.23977/acss.2023.071004 | Downloads: 7 | Views: 386

Author(s)

Quan Yu 1, Yuqi Bao 1, Bingxin Liu 1

Affiliation(s)

1 School of Electrical and Control Engineering, North China University of Technology, 5 Jinyuanzhuang Road, Shijingshan District, Beijing, China

Corresponding Author

Yuqi Bao

ABSTRACT

When an accident occurs in a certain section of the expressway network, the traffic demand on the road cannot be met, and the travel efficiency of the expressway is greatly reduced. In this environment, appropriate induction measures can not only alleviate traffic congestion, but also ensure the minimum range of indirect impact of the accident. In the process of developing to the pure autonomous driving stage, the mixed driving of manually driven vehicles and autonomous vehicles is an essential stage, in this stage, when a traffic accident occurs, more efficient guidance measures need to be studied. In this paper, the OMNeT++ simulation framework and SUMO road simulation model are used to simulate how to induce traffic accidents in expressway sections based on vehicle-road cooperation. According to the simulation results, the induction scheme was evaluated and analyzed from the aspects of easing traffic congestion and improving traffic efficiency. The results show that the combined induction measures can effectively alleviate the congestion caused by the accident and improve the traffic efficiency.

KEYWORDS

Expressway, Traffic accidents, Vehicle-road coordination, Induction measure

CITE THIS PAPER

Quan Yu, Yuqi Bao, Bingxin Liu, Traffic guidance measures based on vehicle-road cooperation under accident conditions. Advances in Computer, Signals and Systems (2023) Vol. 7: 26-32. DOI: http://dx.doi.org/10.23977/acss.2023.071004.

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