This paper explicitly addresses the multi-modal traffic signal control problem in the shared space street (SSS), where there are multiple travel modes (e.g. passenger cars, buses, and light rails) competing for their spaces in the same lane. SSS widely exists in central business districts where the road space is limited and the multi-modal travel demand is high. An optimization framework with a multi-modal cell transmission model (M-CTM) is developed to model the multi-modal traffic in the network. Also, this study models the passenger’s choice of choosing among different travel modes based on travel costs. Regarding multi-modal signal coordination, a cycle-based traffic signal plan selection model is developed to choose the best offline optimized signal plan to minimize the total travel cost of all three modes. Therefore, the computation burden is significantly reduced in the optimization model. Moreover, a particle swarm optimization (PSO) method is implemented to solve the proposed optimization model. A case study in downtown Buffalo validates the proposed model with microscopic traffic simulation VISSIM.
Multi-Modal Traffic Signal Control in Shared Space Street
IEEE Transactions on Intelligent Transportation Systems ; 23 , 1 ; 392-403
2022-01-01
1837521 byte
Article (Journal)
Electronic Resource
English
Multi-modal traffic signal control with priority, signal actuation and coordination
Online Contents | 2014
|Signal apparatus for control of street traffic
Engineering Index Backfile | 1953
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