Applying Classifier System in Simulations of Multi-Lane Microscopic Traffic Flow on Highway

• Main Authors: Nai Chen Teng, 鄧乃晨
• Other Authors: Hoei Uei Wu
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/01245616705030139957

碩士 === 國立交通大學 === 運輸科技與管理學系 === 93 === The traffic flow model and dynamical. predict traffic system base on theoretical foundation would be the traffic administrator’s decision tools and could offer the service of the traffic road conditions information immediately. The traffic flow becomes the application in ITS besides requiring the exactness with the reality, another key lies in its reaction speed. The flow state in reality changes with time, and its situation is usually quite complicated, so that traffic flow model often needs long time in operation. In recent years, Evolutionary Computation is an important research field in artificial intelligence, and is applied to solve problem which needing complicated operation. It has a lot of advantages, for example, like machine learning which can solve a lot of elasticity and adaptability problem. Beside the gene algorithm is one of widely known algorithms was developed by Holland, the classifier system has same to be. In order to control and manage traffic, it should understand car flow characteristic in advance. Using advanced science and technology to collect and make the true traffic data, and through analyzing the characteristic to understand and get the car flow’s behavior. Then it can be the analyzing tools for administrator's decision of the traffic, and can also offer the traffic road information immediately. This is the important link with indispensable in intelligent transportation system. This study tries to apply classifier system on microscopic traffic flow model, and hope to get a practicability high way microscopic traffic flow model during acceptable time. It will do a research about the characteristic of car flow, the characteristic of road geometry and the drivers’ behavior in highway in advance, and then do paper review about classifier system in order to understand the theoretical foundation, characteristic, and applying method. And more, try to find how to apply classifier system to predict microscopic traffic flow, and then construct the Microscopic traffic flow with classifier system method. According to the case verify result, it could be used to correct and modify the model to get more corresponding output result. At last, we hope to be able to develop the model which can receive result in effective time, and be correspond to reality traffic flow of situation.