Offset optimization of traffic signals to maximize green time overlap considering the vehicle arrival profile for two-dimensional networks

To reduce congestion on arterial roads, many comprehensive studies on corridor traffic signal control for arterial roads have been performed. However, it is difficult to apply these signal control methods to urban road networks in which most of the links are major roads and none has priority for traffic control over another. To solve congestion problems in urban road networks, we propose an algorithm to optimize the offset value of each intersection by considering the boundary conditions of the offset values at adjacent intersections and the estimated vehicle arrival profile. The proposed algorithm maximizes the overlap of green time among adjacent intersections, where the traveling time of each link is taken into account to estimate the green time overlap and predict the vehicle profile using the TRANSYT model. Traffic simulations were performed using AVENUE, and the proposed algorithm was proved to improve the traffic efficiency. In this study, simulations were performed under the conditions of under-saturated traffic.

[1]  T. Urbanik,et al.  Reinforcement learning-based multi-agent system for network traffic signal control , 2010 .

[2]  Dipti Srinivasan,et al.  Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control , 2010, IEEE Transactions on Intelligent Transportation Systems.

[3]  Dirk Helbing,et al.  Decentralised control of material or traffic flows in networks using phase-synchronisation , 2006, physics/0603259.

[4]  Jun Nakanishi,et al.  Self-organizing control of urban traffic signal network , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[5]  John D. C. Little,et al.  MAXBAND: A PROGRAM FOR SETTING SIGNALS ON ARTERIES AND TRIANGULAR NETWORKS , 1981 .

[6]  Hyung Lee-Kwang,et al.  Distributed and cooperative fuzzy controllers for traffic intersections group , 1999, IEEE Trans. Syst. Man Cybern. Part C.

[7]  T. Tajima,et al.  MODERATO (Management by Origin-DEstination Related Adaptation for Traffic Optimization) , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).

[8]  D I Robertson,et al.  "TRANSYT" METHOD FOR AREA TRAFFIC CONTROL , 1969 .

[9]  Marco Wiering,et al.  Multi-Agent Reinforcement Learning for Traffic Light control , 2000 .

[10]  Nathan H. Gartner,et al.  A multi-band approach to arterial traffic signal optimization , 1991 .

[11]  Jun Ota,et al.  Autonomous decentralized control of traffic signals with closed-loop constraints on offsets , 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

[12]  R. D. Bretherton,et al.  Optimizing networks of traffic signals in real time-the SCOOT method , 1991 .