Abstract

For the past thirty years, the MIT Transit Lab has been engaged in long-term research collaborations with a range of large urban public transport agencies including London (Transport for London), Boston (MBTA), Chicago (CTA), Washington DC (WMATA), San Juan (PRHTA) and Hong Kong (MTR). Much of this stream of research has focused on the role that automatic data collection systems can play in improving transit performance including tackling fundamental problems such as passenger origin-destination matrix estimation and measuring service reliability, using data from automated fare collection systems and automatic vehicle monitoring systems. This seminar will focus on recent MIT initiatives in transit operations analysis, much of which builds on the earlier work but also includes use of newer data sources and more advanced analysis methods.

Bio

Professor Nigel Wilson, director of the MIT Transit Research Program, has more than 30 years experience dealing with operations, management and planning issues associated with transit systems worldwide. His research and teaching focus on urban public transportation, including topics related to the operation, analysis, planning and management of transit systems. Specific research activities he has directed include using automated data systems to improve planning and operations, workforce planning in the transit industry, short-range transit planning methods, the role of private operators in public transportation and the potential for computers and communication systems to improve the performance of transit systems. During two leaves from MIT, he worked directly in three large transit agencies, the Massachusetts Bay Transportation Authority (1985-86), London Transport (1992-93) and Metro Transit (2008-2009) and has also consulted to a number of other North American transit authorities. Additional information about Professor Wilson can be found on MIT's Civil and Environmental Engineering website.

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