Abstract—Traffic jams are a huge issue in urban streets.
Intersections are one of the critical parts of the street that
causes high amount of congestion if not managed properly.
Solutions where made that revolve around fixed set of
operations that attempt to find optimum time for each traffic
light in the intersection. Several solutions were proposed over
the last years that use a more intelligent and more dynamic than
the previous ones. Some of those approaches, labeled as
Intelligent Traffic Light Control System, are discussed in this
paper. The methods are Webster, Dynamic Webster, Equal
Interval and Optimum Equal. A simulation software will run
those methods in a typical four-phase intersection and generate
a report about their results. Each method is demonstrated and
explained in the context of the simulation software. The
methods are compared with emphasis on cycle interval time and
flow rate. A conclusion is made about what can be improved in
Index Terms—Isolated intersection, simulation, webster, Dynamic Webster (DW), Optimum Equal (OE), Equal Interval (EI).
Abdulrahman Al-Kandari and Imad Al-Shaikhli are with the International Islamic University Malaysia, Computer Department (e-mail: firstname.lastname@example.org, email@example.com). Anas Najaa is with the Computer Education Department, Basic Education Collage, PAAET, Kuwait (e-mail: firstname.lastname@example.org).
Cite:Abdulrahman Al-Kandari, Imad Al-Shaikhli, and Anas Najaa, "Comparative Study between Traffic Control Methods Using Simulation Software," International Journal of Machine Learning and Computing vol.3, no. 5, pp. 424-429, 2013.