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原文传递 Estimating the Mobility Benefits of Adaptive Signal Control Technology Using a Bayesian Switch-Point Regression Model

题名：	Estimating the Mobility Benefits of Adaptive Signal Control Technology Using a Bayesian Switch-Point Regression Model
正文语种：	eng
作者：	Kodi, John H.;Kidando, Emmanuel;Sando, Thobias;Alluri, Priyanka
作者单位：	Florida Int Univ Dept Civil & Environm Engn 10555 West Flagler St EC 3720 Miami FL 33174 USA;Cleveland State Univ Dept Civil & Environm Engn 2121 Euclid Ave Cleveland OH 44115 USA;Univ North Florida Sch Engn 1 UNF Dr Jacksonville FL 32224 USA;Florida Int Univ Dept Civil & Environm Engn 10555 West Flagler St EC 3720 Miami FL 33174 USA
关键词：	Adaptive signal control technology (ASCT);Bayesian switch-point regression (BSR);Average speeds
摘要：	The adaptive signal control technology (ASCT) is a traffic management strategy that adjusts signal timing parameters to optimize corridor performance based on actual traffic demand. This study used a Bayesian switch-point regression model (BSR) to estimate the mobility benefits of the ASCT. A 5.3-km (3.3-mi) corridor of Mayport Road in Jacksonville, Florida, was used as the case study. The results indicated that the ASCT improved travel speeds by 4% on midweekdays (Tuesday, Wednesday, and Thursday) in the northbound direction. However, in the southbound direction, mixed results were observed that may be attributed to higher driveway density and congestion. Moreover, the BSR model results revealed that there is a significant difference in the operating characteristics between with and without ASCT scenarios. Transportation agencies could use the findings of this study to justify and plan the future deployment of the ASCT.
出版年：	2022
期刊名称：	Journal of Transportation Engineering
卷：	148
期：	5
页码：	04022015.1-04022015.11