Forecasting travel time in toll plaza area of highway

• Main Authors: Su-Ming Chung, 張書銘
• Other Authors: Jiann-Sheng Wu
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/54648702269701103630

碩士 === 國立中央大學 === 土木工程研究所 === 92 === The traffic flow often disturbs on highway because of roadway patterns, traffic changes, or drivers’ behavior. Toll plazas are like bell, so the lanes add ahead and reduce backward. Because all the drivers must choose applicable paying lanes, they perhaps change lanes. It brings about vehicle interlacing. These phenomenons of the above which influence drivers’travel time. The research focus on this problem, then select one toll plaza to build up drivers’behavior and forecasting travel time models. This research is aimed at the southern direction traffic flow of Yang-mei toll plaza. Using monitoring and field search to investigate the data about traffic flow of toll plaza for simulation, and going a step further to construct simulation model with a microscopic view in order to discuss drivers’ behavior in toll plaza which a particular section of highway. On the other side, under different flow types, the research utilize back-propagation network algorithm to forecast travel time in toll plaza area, and to analyze this forecast modes. At last the result can prove exact travel time. Through repeatedly testing, the achievements of this forecast modes belongs to “high-precise”. The research can provide estimate for forecasting travel time in toll plaza area of highway.