Individual vehicle estimation delay at signal intersection

• Main Authors: Chih-Ling Hsu, 許芝綾
• Other Authors: Chun-Hai Fan
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/3yfbgb

碩士 === 淡江大學 === 運輸管理學系運輸科學碩士班 === 106 === Taiwan highway capacity manual mentioned roadway performance measurement is one of important index of level of service. There are three indexes for performance measurement　volume/capacity ratio, average delay time and average maximum queue length in cycle. Average delay time is most easy one to be calculated. But delay time calculation usually limited by data collection and device technology. We only can get some macroscopic information such as volume, speed and density. The delay model estimation used to build in macroscopic. However vehicle drive at signal intersection will impact by several factors. These factors will have major influence on vehicle delay. But there didn’t have much study on establish vehicle delay model in microscopic. In this study will use video record data divided by unit time to catch vehicle position. The position is used to coordinate axis conversion and build vehicle trajectory so as to get vehicle’s driving way. This method can actually track individual vehicle trajectory in unit time. Variable analysis to understand factors may impact vehicle delay. Establish individual vehicle delay model at signal intersection by regression model. The summation of all vehicle delay is the total delay of cycle. The total delay can compare to tradition delay model.