A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Mitigating Recurrent Congestion via Particle Swarm Optimization Variable Speed Limit Controllers
Abstract Variable speed limit (VSL) has proven to be an efficient motorway control measure to mitigate traffic congestion at motorway bottlenecks. VSL can reduce the effect of shockwave on traffic conditions through smoothing the transition between the congested downstream and upstream traffic flows. In this paper, a particle swarm optimization (PSO) based VSL method is proposed to minimize the probability of flow breakdown at bottleneck sections and ensure a maximum utilization of the current motorway infrastructure. The results show that the motorway system equipped with PSO based VSL outperformed the one with rule based VSL.
Mitigating Recurrent Congestion via Particle Swarm Optimization Variable Speed Limit Controllers
Abstract Variable speed limit (VSL) has proven to be an efficient motorway control measure to mitigate traffic congestion at motorway bottlenecks. VSL can reduce the effect of shockwave on traffic conditions through smoothing the transition between the congested downstream and upstream traffic flows. In this paper, a particle swarm optimization (PSO) based VSL method is proposed to minimize the probability of flow breakdown at bottleneck sections and ensure a maximum utilization of the current motorway infrastructure. The results show that the motorway system equipped with PSO based VSL outperformed the one with rule based VSL.
Mitigating Recurrent Congestion via Particle Swarm Optimization Variable Speed Limit Controllers
Li, Duo (author) / Ranjitkar, Prakash (author) / Zhao, Yifei (author)
KSCE Journal of Civil Engineering ; 23 ; 3174-3179
2019-05-10
6 pages
Article (Journal)
Electronic Resource
English
Mitigating Recurrent Congestion via Particle Swarm Optimization Variable Speed Limit Controllers
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