Teo, Kenneth Tze Kin and Kow, Wei Yeang and Chin, Y. K. (2010) Optimization of traffic flow withing an urban traffic light intersection with genetic algorithm. In: 2nd International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM 2010), 28-30 September 2010, Bali, Indonesia.
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CIMSiM.2010.95
Traffic flow control optimization in the traffic light systems is studied for improvement in this paper. Traffic light systems are built to control the traffic flows at the intersections to ensure the fluency of traffic flow within the traffic network. The increasing traffic flows that cannot be supported by the current traffic light systems cause lengthen of queue length at the intersection. The effect of queue length, green time, cycle time and amber time in the traffic system is observed and studied through simulations. Longer green time will pass through more vehicles, but it will increase the cycle time at the same time which causes more vehicles to accumulate at the intersection during the waiting time. Genetic algorithm is introduced in this paper for the optimization of the traffic flow control as its ability to find the optimized solution in its self tuning process. Genetic algorithm taking current queue length as its input then it will output the optimized green time for the intersection. The result of Genetic algorithm is further improved with the introduced of the incoming traffic flow during red time of each phase.
|Item Type:||Conference Paper (UNSPECIFIED)|
|Uncontrolled Keywords:||Genetic algorithm, Traffic control system, T-Junction, Traffic flows|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||SCHOOL > School of Engineering and Information Technology|
|Deposited By:||IR Admin|
|Deposited On:||18 Jul 2012 15:23|
|Last Modified:||29 Dec 2014 16:12|
Repository Staff Only: item control page