原文传递 Fleet Management for Vehicle Sharing Operations.
题名: Fleet Management for Vehicle Sharing Operations.
作者: Miller-hooks, E.; Nair, R.
关键词: Algorithms; Automobiles; Bicycles; Electric Vehicles; Fleet Management; Flexibility; Motor Vehicles; Rapid Transit Systems; Traffic Congestion; Transportation Systems; Travel Demand; Travel Time; Trip
摘要: Transit, touted as a solution to urban mobility problems, cannot match the addictive flexibility of the automobile. 86.5% of all trips in the U.S. are in personal vehicles (USDOT 2001). A more recent approach to reduce automobile ownership is through the use of vehicle sharing programs (VSPs). A VSP involves a fleet of vehicles located strategically at stations across the transportation network. In its most flexible form, users are free to check out vehicles at any station and return them to stations close to their destinations. Vehicle fleets can be comprised of bicycles, low emission cars or electric vehicles. Such systems offer innovative, low-cost, and flexible solutions to the larger mobility problem and can have positive impacts on the transportation system as a whole by reducing urban congestion. To match automobile flexibility, users are free to determine all trip characteristics (where to checkout and return vehicles, duration of travel and time of travel). This places exceptional logistical challenges on operators who must ensure demand in the near future is met. Since flow from one station to another is seldom equal to flow in the opposing direction, the VSP fleet can become spatially imbalanced. To meet near-future demand, operators must then redistribute vehicles to correct this asymmetry. The focus of this report is to provide efficient, cost-effective operational strategies for fleet management. A stochastic, mixed-integer program (MIP) involving joint chance constraints is developed that generates least-cost vehicle redistribution plans for shared-vehicle systems such that a proportion of all near-term demand scenarios are met. The model aims to correct short term demand asymmetry in shared-vehicle systems, where flow from one station to another is seldom equal to the flow in the opposing direction. The model accounts for demand stochasticity and generates partial redistribution plans in circumstances when demand outstrips supply. This stochastic MIP
报告类型: 科技报告
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