Traffic management at intersection
Nowadays government paid more attention on traffic management since it is one of the important factors for country’s success. However, traffic congestion is getting worse and worse with the growing of economic. Singapore government had released some policies to tackle the congestion problem such as...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/75067 |
| _version_ | 1826115170135441408 |
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| author | Wang, Xiao Qing |
| author2 | Zhu Feng |
| author_facet | Zhu Feng Wang, Xiao Qing |
| author_sort | Wang, Xiao Qing |
| collection | NTU |
| description | Nowadays government paid more attention on traffic management since it is one of the important factors for country’s success. However, traffic congestion is getting worse and worse with the growing of economic. Singapore government had released some policies to tackle the congestion problem such as Electronic Road Pricing (ERP) and increasing the cost of vehicle. The policies did improve traffic congestion in Singapore, but economic solutions are just short-term solutions. With the growing of economics, time is more precious to them.
Traffic signal is a traditional method to control the traffic. When it is used properly traffic signal will be a very efficient way for traffic controlling. In this paper, a traffic signal which is set up based on Reinforcement Learning concept will be proposed. The aim of this project is to find out an optimal policy to increase the effectiveness of traffic signal at traffic intersection. |
| first_indexed | 2024-10-01T03:51:09Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/75067 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:51:09Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/750672023-03-03T17:10:41Z Traffic management at intersection Wang, Xiao Qing Zhu Feng School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering Nowadays government paid more attention on traffic management since it is one of the important factors for country’s success. However, traffic congestion is getting worse and worse with the growing of economic. Singapore government had released some policies to tackle the congestion problem such as Electronic Road Pricing (ERP) and increasing the cost of vehicle. The policies did improve traffic congestion in Singapore, but economic solutions are just short-term solutions. With the growing of economics, time is more precious to them. Traffic signal is a traditional method to control the traffic. When it is used properly traffic signal will be a very efficient way for traffic controlling. In this paper, a traffic signal which is set up based on Reinforcement Learning concept will be proposed. The aim of this project is to find out an optimal policy to increase the effectiveness of traffic signal at traffic intersection. Bachelor of Engineering (Civil) 2018-05-28T03:51:07Z 2018-05-28T03:51:07Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75067 en Nanyang Technological University 41 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Civil engineering Wang, Xiao Qing Traffic management at intersection |
| title | Traffic management at intersection |
| title_full | Traffic management at intersection |
| title_fullStr | Traffic management at intersection |
| title_full_unstemmed | Traffic management at intersection |
| title_short | Traffic management at intersection |
| title_sort | traffic management at intersection |
| topic | DRNTU::Engineering::Civil engineering |
| url | http://hdl.handle.net/10356/75067 |
| work_keys_str_mv | AT wangxiaoqing trafficmanagementatintersection |