Applying Intelligent Agents in Traffic Control for Traffic Intersection Groups
碩士 === 逢甲大學 === 資訊工程所 === 98 === Congestion is one of the single largest threats to our economic prosperity and way of life. This issue exists in major cities around the world because of growing number of vehicles. Improving the efficiency of the transportation systems is essential for our economic...
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| Format: | Others |
| Language: | zh-TW |
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2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/95321083677842576229 |
| Summary: | 碩士 === 逢甲大學 === 資訊工程所 === 98 === Congestion is one of the single largest threats to our economic prosperity and way of life. This issue exists in major cities around the world because of growing number of vehicles. Improving the efficiency of the transportation systems is essential for our economic and environment. Intelligent traffic control systems become very useful approach in addressing traffic congestion. How to use advanced technologies to improve the existing traffic problems is a critical issue in traffic control and management.
Applying intelligent agents in traffic control for traffic intersection groups has been suggested in the past. The intersection agents use fuzzy control strategy and have coordination ability. By using traffic detectors, agents can get real-time traffic information to calculate optimal signal settings and quickly respond to incidents. In this thesis, we present an application of intelligent agents in traffic control for traffic intersection groups. In our research, an algorithm is proposed to calculate the most impacted route during a traffic incident. A technology called green light bandwidth adjustment is then applied to relieve the traffic jam. We use the software "DynaTAIWAN" to verify the effectiveness of our approach.
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