详情

当前位置：首页> 国外交通期刊数据库 >详情

原文传递 Finding the relevance of staff-based vehicle relocations in one-way carsharing systems through the use of a simulation-based optimization tool

题名：	Finding the relevance of staff-based vehicle relocations in one-way carsharing systems through the use of a simulation-based optimization tool
正文语种：	英文
作者：	Goncalo Goncalves Duarte Santos; Goncalo Homem de Almeida Correia
作者单位：	Instituto Superior Tecnico, MIT Portugal Program, University of Lisbon, Lisbon, Portugal; Faculty of Civil Engineering and Geosciences, Department of Transport & Planning, Delft University of Technology, Delft, Netherlands; Department of Civil Engineering, University of Coimbra, Coimbra, Portugal
关键词：	Carsharing; relocations; maintenance; optimization; simulation
摘要：	This paper proposes a real-time decision support tool based on the rolling-horizon principle that manages staff activities (relocations and maintenance) of a one-way carsharing system and considers carpooling the staff in the relocated carsharing vehicles for extra cost reduction. The decision support tool is composed of three elements: a forecasting model, an assignment model and a filter. Two assignment models are proposed and tested: rule-based and optimization. The rule-based model uses simple rules to respond to system status changes, and the optimization model is a mixed integer programing (MIP) model prepared to work in real-time. A simulator was designed to test the decision support tool and an application is done to the city of Lisbon, Portugal, showing that the benefits of staff relocations can be rather low. It was verified that the number of relocations that can physically be performed by each staff member in the case study provide only a small improvement in the revenues, which is unlikely to overcome the costs associated with hiring and staff activity.
出版年：	2019
期刊名称：	Journal of Intelligent Transportation Systems Technology Planning and Operations
卷：	23
期：	6
页码：	583-604