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DTSTAMP:20111102T185209Z
DTSTART;TZID=America/Los_Angeles:20111104T160000
DTEND;TZID=America/Los_Angeles:20111104T170000
TRANSP:OPAQUE
SUMMARY:ITS Friday Transportation Seminar Series: Analysis and Quantification of the Effects of Schedule-Based Transit Operations Control on Service Reliability
UID:48977-ucb-events-calendar@berkeley.edu
ORGANIZER;CN="UC Berkeley Calendar Network":
LOCATION:406 Davis Hall
DESCRIPTION:Rabi G. Mishalani\, PhD.\, Associate Professor\, Department of Civil and Environmental Engineering and Geodetic Science  Ohio State University\n\nTransit service reliability is an important determinant of the level of service experienced by passengers. Bus drivers play a key role in translating a schedule to an actual service and\, as a result\, could influence the resulting reliability. Therefore\, understanding drivers' behaviors is useful for a variety of purposes such as designing bus schedules and developing real-time operations control strategies. In this study\, the effects of bus drivers' reactions to schedules\, given the status of the buses they are operating\, on service reliability are investigated and quantified analytically and empirically. The hypothesis that drivers may deliberately\, as a form of control\, lengthen or shorten dwell times at stops or adjust speeds between consecutive stops depending on whether buses are ahead or behind schedule is examined. An analytical relationship is derived\, based on which an empirical study is conducted. The relationship describes the progression of reliability from stop to stop as a function of drivers' possible reactions to the schedule in the presence of exogenous factors. Such reactions are explored in an empirical study using a large Automatic Vehicle Location (AVL) data set collected by The Ohio State University's Campus Transit Lab (CTL). The drivers' reactions to the schedule are found to be helpful in improving service reliability. Moreover\, the magnitudes of the improvements in reliability\, resulting from such reactions\, and the deterioration of reliability\, due to exogenous factors\, are quantified. Given the reliance on CTL data in conducting this study\, a brief motivation\, history\, description\, and uses of CTL are discussed as well.
URL:http://events.berkeley.edu/index.php/calendar/sn/pubaff.html?event_ID=48977&view=preview
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