Developing dynamic speed limit strategies for mixed traffic flow to reduce collision risks at freeway bottlenecks

Li, Ye; Pan, Bing; Xing, Lu; Yang, Min; Dai, Jianjun

doi:10.1016/j.aap.2022.106781

Cited by 9 publications

(1 citation statement)

References 55 publications

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“…Despite several studies on HSR, with the rapid rise of CAV market penetration, few researchers have investigated HSR in a hybrid network environment. Most of the earlier research focused on other ATM strategies in a hybrid network environment [21][22][23][24][25][26][27].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Hidden Markov Model-Based Dynamic Hard Shoulders Running Strategy in Hybrid Network Environments

Yao,

Qian,

Feng

et al. 2024

Applied Sciences

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With the development of vehicle-road network technologies, the future traffic flow will appear in the form of hybrid network traffic flow for a long time. Due to the change in traffic characteristics, the current hard shoulder running strategy based on traditional traffic characteristics cannot effectively serve the hybrid network traffic flow scenario, and will even lead to the further deterioration of traffic congestion. In order to propose a hard shoulder running strategy suitable for a hybrid network environment, a traffic breakdown prediction method based on a hidden Markov model was established. Secondly, the characteristics of traffic breakdown in a hybrid network environment were analyzed. Finally, based on the traffic breakdown characteristics in a hybrid network environment, a dynamic hard shoulder running method based on the hidden Markov model was proposed. The effectiveness of HMMD-HSR was verified by simulation and comparison with HMM-HSR, LMD-HSR, and N-HSR. The simulation results show that the HMMD-HSR proposed in this paper can improve operation efficiency and reduce travel time in a congested expressway.

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