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

AlGhamdi, Ahmed S.

199557_Alghamdi 2014.pdf (31.04Mb)

Access Status

Open access

Authors

AlGhamdi, Ahmed S.

Date

2013

Supervisor

Dr Ali Mansour

Dr Halit Eren

Type

Thesis

Award

PhD

Metadata

Show full item record

Faculty

Faculty of Science and Engineering, School of Electrical and Computing Engineering, Department of Electrical and Computer Engineering

URI

http://hdl.handle.net/20.500.11937/1451

Collection

Curtin Theses

Abstract

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.