2022, Vol. 3, Issue 1, Part A
Traffic signal using cellular automata
Author(s): Gurleen Kaur Saluja
Abstract: A cellular automata is a discrete model of computation studied in automata theory. Cellular automata are also called cellular spaces. Cellular automata have found application in various areas, including physics, theoretical biology and microstructure modelling. It consists of a regular grid of cells, each in one of a finite number of states, such as on and off (in contrast to a coupled map lattice). The grid can be in any finite number of dimensions. An initial state (time t = 0) is selected by assigning a state for each cell. In this research paper, optimization of traffic signal timing at signalized intersections on road network is presented. The large number of vehicles in big cities has become a serious problem in adjusting the timing of traffic signal at intersections of road networks. Traffic light control is an important factor in road traffic system. One of the solution to reduce heavy traffic congestion is by readjusting traffic signal with the number of incoming and outgoing vehicles in or der to remain proportionate. The solution refers to adaptive setting of traffic light control system. The movement of vehicles on road network is modeled by cellular automata while the fuzzy inference system is used to obtain optimal traffic signal timing. The performance of fuzzy inference system is determined by the delay time average at signalized intersections. Delay time is addition time required by a vehicle to pass through signalized intersection compared to road without intersection. Cellular automata and fuzzy inference system are running together through computer simulation program. The numerical results show that traffic signal duration obtained from fuzzy inference system is more efficient than the existing historical data of observation and it can reduce the level of congestion. The simulation results also show that the traffic signal timing can adjust with the number of incoming and outgoing of vehicles at the intersections on road network. These results can be used to improve the traffic signal system.
Pages: 34-37 | Views: 668 | Downloads: 245
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How to cite this article:
Gurleen Kaur Saluja. Traffic signal using cellular automata. Int J Res Circuits Devices Syst 2022;3(1):34-37.
