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281-Carsharing: A Dynamic Decision-Making Problem for Vehicle Allocation
  发表时间:2017-04-16    阅读次数:

Carsharing: A Dynamic Decision-Making Problem for Vehicle Allocation

281

主讲人:Wei (David) Fan

邀请人:江志彬(副教授)

时间:2017.04.19 13:30-15:00

地点:103会议室

主讲人简介:

    Dr. Wei (David) Fan currently serves as an associate professor in the Department of Civil and Environmental Engineering (CEE) at The University of North Carolina at Charlotte (UNCC). He is the Director of the Tier I University Transportation Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE – http://cammse.uncc.edu/) with a total of $7.7 million dollars funded by USDOT. Dr. Fan holds a Ph.D. (May 2004) in Civil Engineering – Transportation from the University of Texas at Austin (Hook ’em Horns!). He was a Senior Analytical Optimization Software Developer for the R&D Department at SAS Institute Inc. located in Cary, North Carolina from June 2004 – August 2006.

    Dr. Fan’s primary research interests include operations research, transportation network modeling & optimization, traffic operations and simulation, transportation safety and crash analysis, transportation systems planning and demand forecasting, intelligent transportation systems (ITS), and application of advanced econometric methods in transportation, as well as computer software development. Dr. Fan serves as an associate editor of IEEE Transactions – Intelligent Transportation Systems while also serving as a member of three other transportation journal editorial boards. Dr. Fan also serves as a member on the National Science Foundation (NSF) review panel, the Transit Cooperative Research Program (TCRP) panel and three Transportation Research Board (TRB) committees. He has been working as an active ad hoc reviewer for more than 20 prestigious journals as well as the national Highway Capacity Manual (HCM) (2010 version). 

    Dr. Fan has been and is involved in many sponsored projects (over 10 million dollars in funding), having been principal or co-principal investigator on many research studies for the U. S. Department of Transportation (USDOT), Federal Highway Administration (FHWA), National Cooperative Highway Research Program (NCHRP), SHRP2 Education Connection, Texas Department of Transportation (TxDOT) and North Carolina Department of Transportation (NCDOT).He had published more than 100 journal articles, proceeding papers and technical reports on transportation network modeling, transportation systems planning, traffic operations and simulations, traffic safety and crash analysis, pavement M&R project selection optimization, operations research applications in transportation, and ITS.

主讲内容简介:

    Carsharing provides members access to a fleet of shared-use vehicles in a network of locations on a short-term, as-needed basis. It allows individuals to gain the benefits of private vehicle use without the costs and responsibilities of ownership. The dynamic vehicle allocation problem is addressed in a carsharing context, that is, as a decision-making problem for vehicle fleet management in both time and space to maximize profits for the carsharing service operator. A multistage stochastic linear integer model with recourse is formulated that can account for system uncertainties such as carsharing demand variation. A stochastic optimization method based on Monte Carlo sampling is proposed to solve the carsharing dynamic vehicle allocation problem. Preliminary results are discussed and related insights are presented on the basis of a five-stage experimental network pilot study.

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