The Signal Timing Design Base on Evolved Day-to-Day Commuting Trip Patterns

• Main Author: 胡勛傑
• Other Authors: Hsun-Jung Cho
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/98721304369628108502

碩士 === 國立交通大學 === 運輸科技與管理學系 === 93 === In most fields of contemporary commerce and industry, time relating job's value and efficiency for workers is ever increasing. Complying with the scheduled arrival time at working site is strongly required for most commuters. Unfortunately, Due to the unexpected results of traffic and control conditions along a route, the commuters may sometimes reach their destination far ahead of or behind the schedule time. As a result, they would adjust the leaving times from their residential areas gradually according to the perceived experiences for the next days. The adjustment of leaving times for work will be continuing till the arrival times at sites are fulfilled. Most of the existing research has focused on the evolvement of leaving times for work. Very few explored the consequences of a signalized network that may affect the pattern of leaving flow. The signals are the most control part for the traveling paths on a roadway network. As the home-based working trip patterns change due to the change in leaving times, the variation of flows entering and departing each signal result. This can also influence the output performance of individual signals, and even the whole network. Hence, how to reduce the commuters' time costs and upgrade the control performance at signals become an important issue that is worth while to be explored. This study is intended to observe the associated effectiveness of different signal control timings, such as pre-timed, day-to-day adjusted, and asymptotic steady ones using the concept of daily flow evolvement under different leaving time distributions. With the mutual affection between the adjusted day-to-day leaving trips and the signal timing updates, the best home-sited leaving time patterns for commuters as well as the timing for each signals are found within an accepted time range. Several sensitivity tests are also conducted to reach conclusions and recommendations.