Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways
|dc.contributor.author||AlGhamdi, Ahmed S.|
|dc.contributor.supervisor||Dr Ali Mansour|
|dc.contributor.supervisor||Dr 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.title||Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways|
|curtin.faculty||Faculty of Science and Engineering, School of Electrical and Computing Engineering, Department of Electrical and Computer Engineering|