Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways

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...

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Bibliographic Details
Main Author: AlGhamdi, Ahmed S.
Format: Thesis
Language:English
Published: Curtin University 2013
Online Access:http://hdl.handle.net/20.500.11937/1451
Description
Summary: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.