Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network
Meta heuristic algorithms are often used to solve scheduling problems. In this project we will use the meta heuristic algorithm to solve the scheduling problem of urban traffic signals. The project uses a macro model of the two mixed flow of pedestrian and vehicle to analyze the delay of pedestrians...
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sg-ntu-dr.10356-786662023-07-04T16:22:55Z Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network Tang, Zhe Su Rong School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Meta heuristic algorithms are often used to solve scheduling problems. In this project we will use the meta heuristic algorithm to solve the scheduling problem of urban traffic signals. The project uses a macro model of the two mixed flow of pedestrian and vehicle to analyze the delay of pedestrians and vehicles in the traffic network. The objective is to reduce the overall waiting time for vehicles and pedestrians. And a search operator is used to improve the performance of the meta-heuristics. Performance evaluation includes waiting time and computing time. The parameters involved in the related algorithms will be enumerated. A detailed comparison process will also be given. Master of Science (Computer Control and Automation) 2019-06-25T06:19:24Z 2019-06-25T06:19:24Z 2019 Thesis http://hdl.handle.net/10356/78666 en 67 p. application/pdf |
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Engineering::Electrical and electronic engineering |
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Engineering::Electrical and electronic engineering Tang, Zhe Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network |
| description |
Meta heuristic algorithms are often used to solve scheduling problems. In this project we will use the meta heuristic algorithm to solve the scheduling problem of urban traffic signals. The project uses a macro model of the two mixed flow of pedestrian and vehicle to analyze the delay of pedestrians and vehicles in the traffic network.
The objective is to reduce the overall waiting time for vehicles and pedestrians. And a search operator is used to improve the performance of the meta-heuristics. Performance evaluation includes waiting time and computing time. The parameters involved in the related algorithms will be enumerated. A detailed comparison process will also be given. |
| author2 |
Su Rong |
| author_facet |
Su Rong Tang, Zhe |
| format |
Theses and Dissertations |
| author |
Tang, Zhe |
| author_sort |
Tang, Zhe |
| title |
Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network |
| title_short |
Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network |
| title_full |
Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network |
| title_fullStr |
Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network |
| title_full_unstemmed |
Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network |
| title_sort |
meta-heuristics for optimizing bi-objective heterogeneous urban traffic network |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10356/78666 |
| _version_ |
1772827513507020800 |