Problem Setting and Modeling in Vehicles and Pedestrians Traffic Control Using Sensor Networks

A new model of vehicles and pedestrians behavior for complex crossroads road traffic control is developed here. The crossroad is equipped with a wireless sensor network as traffic detector reporting real time traffic events used in the modeling phase. The crossroad model is designed and implemented regarding the three traffic lights colors for each lane entering the junction and permits usage of complex test cases independent of the number of lanes.

[1]  Chen-Nee Chuah,et al.  Knowledge-based opportunistic forwarding in vehicular wireless ad hoc networks , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[2]  B. De Schutter,et al.  Test Bed for Multiagent Control Systems in Road Traffic Management , 2005 .

[3]  Bin Ran,et al.  Analytical Models of the Dynamic Traffic Assignment Problem , 2001 .

[4]  Baher Abdulhai,et al.  Reinforcement learning for true adaptive traffic signal control , 2003 .

[5]  Jerry M. Mendel,et al.  Advances in type-2 fuzzy sets and systems , 2007, Inf. Sci..

[6]  Bart De Schutter,et al.  Model predictive control for optimal coordination of ramp metering and variable speed limits , 2005 .

[7]  Georges Bastin,et al.  A second order model for road traffic networks , 2005 .

[8]  Ramin Yasdi.  Prediction of Road Traffic using a Neural Network Approach , 1999, Neural Computing & Applications.

[9]  Adrian Schischmanow,et al.  Monitoring traffic by optical sensors , 2005 .

[10]  Bart De Schutter,et al.  Optimal Traffic Light Control for a Single Intersection , 1999, Eur. J. Control.

[11]  Halim Ceylan,et al.  Developing Combined Genetic Algorithm—Hill-Climbing Optimization Method for Area Traffic Control , 2006 .

[12]  I.J. Rudas,et al.  Modeling for typical engineering processes in intelligent virtual spaces , 2006, 2006 IEEE International Conference on Computational Cybernetics.

[13]  László T. Kóczy,et al.  Optimal Size Fuzzy Models , 2007, J. Adv. Comput. Intell. Intell. Informatics.