Show simple item record

dc.contributor.authorAlGhamdi, Ahmed S.
dc.contributor.supervisorDr Ali Mansour
dc.contributor.supervisorDr Halit Eren

Dynamic Traffic Cellular Automata (DTCA) method has been used to develop a mathematical model of vehicular traffic flow based on acceleration, velocity and position. This model is extended to investigate human driver behavior using Fuzzy Logic algorithms including; asymmetric auto driving, symmetric auto driving, and the driver behavior using ITS. Congestions have been created and solutions are offered thus leading to a better understanding traffic flow, aggregate fuel consumption, and emissions caused by clusters of vehicles. In simulation, ITS is used to provide inter-vehicular information leading to avoidance of congestions, fuel control, and emission reduction.

dc.publisherCurtin University
dc.titleAnalysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering, School of Electrical and Computing Engineering, Department of Electrical and Computer Engineering

Files in this item


This item appears in the following Collection(s)

Show simple item record