Highlights Development of an integrated optimization program for cooperative signal timing and perimeter control. Development of a distributed methodology to find solutions to the cooperative problem in real-time. Increasing network throughput by 6.0–12.8% compared to separate signal and perimeter control.
Abstract This paper presents an integrated formulation and a distributed solution technique for cooperative signal control and perimeter traffic metering in urban street networks with various market penetration rates of connected vehicles. The problem is formulated as a mixed integer nonlinear program thus, does not scale well with the size of the network in a centralized optimization framework due to the presence of many mixed integer decision variables and nonlinear constraints. To address this limitation, we will develop a distributed model predictive control that distributes the network-level cooperative problem into several intersection-level sub-problems and coordinates their decisions. Our numerical analyses show that the proposed distributed methodology finds solutions to the problem in real-time with the optimality gap of at most 3.6% in our case studies. We have implemented the distributed methodology in Vissim and observed that cooperative signal timing and perimeter control yielded significant improvements in traffic operations. Our case study results show that the cooperative approach increases the number of completed trips by 6.0–12.8% and 10.9–11.0% and reduces the total travel times by 8.1–9.0% and 23.6–24.2% compared to independent signal control and independent perimeter control, respectively.
Cooperative traffic signal and perimeter control in semi-connected urban-street networks
Tramsportation Research, Part C: Emerging Technologies ; 104 ; 408-427
2019-05-18
20 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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