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...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Curtin University
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/1451 |
| _version_ | 1848743671681253376 |
|---|---|
| author | AlGhamdi, Ahmed S. |
| author_facet | AlGhamdi, Ahmed S. |
| author_sort | AlGhamdi, Ahmed S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T05:49:17Z |
| format | Thesis |
| id | curtin-20.500.11937-1451 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:49:17Z |
| publishDate | 2013 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-14512017-02-20T06:37:01Z Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways AlGhamdi, Ahmed S. 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. 2013 Thesis http://hdl.handle.net/20.500.11937/1451 en Curtin University fulltext |
| spellingShingle | AlGhamdi, Ahmed S. Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways |
| title | Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways |
| title_full | Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways |
| title_fullStr | Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways |
| title_full_unstemmed | Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways |
| title_short | Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways |
| title_sort | analysis and solutions of congestion of vehicles using dtca, fuzzy logic, and its on highways |
| url | http://hdl.handle.net/20.500.11937/1451 |