A Real-Time Traffic-Responsive Strategy for Road Congestion Problem

Traffic congestion has been a crucial problem nowadays due to the limited traffic resources, which lead to an urgent need for the optimization of current transportation scheduling. In this paper, a real-time traffic-responsive strategy has been proposed, that the timings and periods of traffic signals are optimized adapt to the dynamically changing environment. Simulations also have been conducted to evaluate the performance. The results depict that this strategy is effective, and can achieve less average waiting delay.

[1]  Wenjie Chen,et al.  WITS: A Wireless Sensor Network for Intelligent Transportation System , 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

[2]  Hejun Wu,et al.  Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[3]  Hejun Wu,et al.  Adaptive Traffic Light Control of Multiple Intersections in WSN-Based ITS , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[4]  Jarkko Niittymäki,et al.  Traffic signal control on similarity logic reasoning , 2003, Fuzzy Sets Syst..

[5]  Wu Wei,et al.  FL-FN based traffic signal control , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[6]  Bin Bin Zhou A Real-Time Traffic Lights Scheduling Strategy , 2013 .

[7]  Zhong-Ke Shi,et al.  Real-coded genetic algorithm for signal timing optimization of a single intersection , 2002, Proceedings. International Conference on Machine Learning and Cybernetics.

[8]  Lawrence A Klein,et al.  SUMMARY OF VEHICLE DETECTION AND SURVEILLANCE TECHNOLOGIES USED IN INTELLIGENT TRANSPORTATION SYSTEMS , 2000 .

[9]  Ping Xu,et al.  An Intelligent Traffic Lights Schedule Approach Using WSNs , 2013 .

[10]  Jarkko Niittymäki,et al.  Signal control using fuzzy logic , 2000, Fuzzy Sets Syst..

[11]  Wang,et al.  Review of road traffic control strategies , 2003, Proceedings of the IEEE.

[12]  Wu Wei,et al.  Traffic signal control using fuzzy logic and MOGA , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).