Objectives:Ridesharing is an essential part of shared mobility for improving passengers'travel ef-ficiency in cities.The existing studies usually determine shareable trips based on whether the arrival se-quence of vehicles in more than one pick-up and drop-off points can meet the predefined spatiotemporal constraints.Such a simple approach cannot quickly and comprehensively find all the potential shareable trips under scenarios involving large-scale car-sharing requests.Methods:Based on the modeling method of space-time prism and the spatial-temporal expression of passengers'sharing willing,we first propose a po-tential spatiotemporal path area model of travel.Then,we apply the topological relation between the space-time prisms of trips for ridesharing identification,and quantify the strength of ridesharing of trips.Finally,two ridesharing matching strategies are proposed to simulate the ridesharing matching process in real-world transport environment.Results:The proposed ridesharing identification model can accurately delineate the potential space-time accessibility of vehicular travel,which makes it easier to discover all potential share-able trips and to realize the accurate and effective ridesharing identification.Conclusions:This study can be helpful for vehicle dispatching and passengers'travel planning in shared urban mobility system.
维普
万方数据