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原文传递 A technical note on evaluating the effectiveness of bus rapid transit with transit signal priority

题名：	A technical note on evaluating the effectiveness of bus rapid transit with transit signal priority
其他题名：	Al-Deek,H.,Consoli,F.,Rogers,J.,Tatari,O.,Alomari,A.,Sandt A.,Noori,M.,andHadi,M.(2014)."Volume-I:Applications of Transit Signal Priority Technology for Transit Service,"University of Central Florida(UCF),Final Research Report,National Center for Transportation Systems Productivity and Managemen(NCTSPM),Project Title with FIU"Performance Measurements of Transportation Systems based on Fine-Grained Data Collected by AVI and AVL Systems,"77 pages,June 30,2014.
正文语种：	英文
作者：	Haitham Al-Deek
关键词：	bus rapid transit;transit signal priority
摘要：	Transit Signal Priority (TSP) and Bus Rapid Transit (BRT) are innovative Intelligent Transportation System( ITS) tools that can reduce travel times for buses. Combining TSP and BRT can significantly improve bus travel, but can negatively impact network traffic operations. Although TSP has been implemented worldwide, few previous studies holistically examined the effects of using various conditional and unconditional TSP strategies with or without a BRT system. This research simulates multiple TSP and BRT combination scenarios to understand their impact on traffic operations, including crossing street traffic. A test bed along International Drive (I-Drive) in Orlando, Florida, was chosen as the simulation area. Field data collected for this test bed, which included traffic volumes, bus travel times, and traffic signal control data, were used to develop, calibrate, and validate the simulation model. Results showed that BRT with Conditional TSP 3 minutes behind significantly improved travel times, average speed, and average total delay per vehicle for the main through movements compared with no BRT or TSP, with only minor effects on crossing street delays. BRT with Unconditional TSP resulted in significant crossing street delays, especially at major intersections with high traffic demand, indicating that this scenario is impractical for implementation. The simulation suggests that BRT and TSP will be most effectivewhen used in areas where crossing street volumes are low. However, it is unknown how these ITS tools affect pedestrian traffic. Using optimization methods can determine the best strategy to balance transit and pedestrian traffic.
出版年：	2017
论文唯一标识：	J-96Y2017V21N03006
英文栏目名称：	Articles
期刊名称：	Journal of Intelligent Transportation Systems Technology Planning and Operations
拼音刊名(出版物代码)：	J-96
卷：	21
期：	03
页码：	227-238