A Reroute Decision Using Real-time Traffic Information

• Main Authors: Wang, Yu-Ling, 王育翎
• Other Authors: Ko, Ren-Song
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/86350592636789736308

碩士 === 國立中正大學 === 資訊工程研究所 === 102 === With the popularity of the vehicle, traffic congestion problem has been one of the important issues in each country. Therefore, vehicles increased not only generating traffic congestion, but also resulting in air pollution and energy consumption. If we can improve the traffic congestion, and that other issues will gradually ease. To solve this problem, there has developed a number of related research and algorithms. And the shortest path is the most commonly discussed, but it does not mean that the shortest path is not equal to the best path. To reach destination as soon as possible is what every driver wants. Existing technology can already take into account the dynamic path planning traffic, if all drivers are lead to another path, it may bring about another traffic congestion. This paper focuses on using different strategies and different proportions of the vehicle to find a solution and used to relieve traffic congestion. In this study, using SUMO(Simulation of Urban Mobility) as the traffic simulator. The advantage is that using microcosmic way to simulate the vehicle and it can be observed in details. There are two discussion and analysis after doing experiments: (1)If we know other drivers driving strategies, what strategy we can be taken is best for us? (2)If there causes a traffic jam or slows down the speed, and most of drivers adopt same driving strategies. How to adjust to all vehicles the path policy to reduce travel time? Based on these two goals upon will identify the driver more favorable policies.