Simulation of signal control optimization for intersections in large-scale transport network

Authors:
Dongxiu Ou;Michael Balmer;Kay W. Axhausen;Decun Dong;Lun Zhang
Affiliations:
Transport School, Tongji University, Shanghai, China;Institute for Transport Planning and Systems, ETH, Zurich, Switzerland;Institute for Transport Planning and Systems, ETH, Zurich, Switzerland;Transport School, Tongji University, Shanghai, China;Transport School, Tongji University, Shanghai, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Year:
2009

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Adaptations of the A* algorithm for the computation of fastest paths in deterministic discrete-time dynamic networks

IEEE Transactions on Intelligent Transportation Systems

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Abstract

MATSim-T (Multi-Agent Traffic Simulation Toolkit) is a simulation platform for large-scale agent-based traffic. Each agent plans its day and peiforms its activities based on that plan. Then it chooses appropriate routes to reach its destinations. The queue based microsimulation of MATSim-T ignores the conflicts in intersections. To avoid conflicts in intersections, signal control is added into MATSim-T. This paper focuses on analyzing the effect of signal control on MATSim-T. The capacity of the network is adjusted to satisfy the traffic demand through the green time fraction. The peiformance of average trip durations is tested based on the traffic flow in the street network of Zurich, Switzerland. which is generated by MATSim-T. The simulation results show that the average trip duration will stabilize after signal optimization even the initial green fraction is different.