The demand responsive connector (DRC), serving as a connector between residential communities and major fixed transit networks, is one of the most common types of flexible transit services. Considering the relative stability of commuting trips, this paper schedules feeder services specific to commuters. A bi-level programming model (BLPM) is built to schedule and route feeder transit service jointly. In the first layer of our model, the time schedule of feeder bus is generated with the method of k-means clustering, which has interactions with the traveling salesman problem (TSP) in the second layer. By only plugging in geographical information and demands, an initial travel plan can be scheduled. Finally, simulation experiments are designed to validate the presented model. A further vehicle schedule aiming to service more customers besides commuters, as illustrated in previous researches, can be generated with the method of the insertion of a heuristic algorithm to base our results.
A Model to Schedule Demand Responsive Connector
18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China
CICTP 2018 ; 608-617
2018-07-02
Conference paper
Electronic Resource
English