Transit agencies often provide estimates of bus travel times to downstream stops. This study aims to improve the perceived reliability of bus transit systems and enhance their competitiveness. This study considers the characteristics of low headway and high demand for mid-volume bus lanes. Considering the variation in right-of-way with respect to both time and space, a stop-based bus route is built to divide the road into sections. Available real-time data from a schedule-based mid-volume bus route are used, including bus global positioning system (GPS) data, road condition information, and weather. Based on the accelerated failure time (AFT) model, a dynamic travel time model considering right-of-way variation is established to estimate bus travel times between adjacent stops and explore the specific impact of bus right-of-way variation on the travel time. The AFT model is chosen because it can reveal the significance of different variables to estimate travel times, and simultaneously estimate expected travel times as well as travel time uncertainty. The experimental results indicate that bus right-of-way variation significantly affects travel times. In contrast to the linear model, the parameter estimated by the AFT model conforms better to expectations, especially for long-distance travel.
INDEX TERMSTravel time, mid-volume bus, accelerated failure time model, GPS data, right-of-way variation. YI LI received the B.S. degree in transportation engineering from Southeast University, Nanjing, China, in 2013, where she is currently pursuing the M.S. degree in transportation planning and management. From 2017 to 2019, as the Project Leader or a Key Researcher, she has been involved in a number of transportation planning projects in China. Her research interests include transport modeling and transportation planning. Ms. Li, as a Key Researcher, she and her team had obtained the Second Prize in the National Competition of Transport Science and Technology for students in China, from 2014 to 2015.JUMEI ZHU is currently pursuing the bachelor's degree in traffic engineering with Southeast University, Nanjing, China. From 2018 to 2019, as a Key Researcher, her team's SRTP project was rated as a provincial university student innovation and entrepreneurship project.