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  4. Stochastic programming model for integrating bus network design and dial-a-ride scheduling
 
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Stochastic programming model for integrating bus network design and dial-a-ride scheduling

Journal
Transportation Letters
Date Issued
2020
Author(s)
Chu J.C.-Y
Chen A.Y
ALBERT CHEN  
CHIH-YUAN CHU  
DOI
10.1080/19427867.2020.1852505
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096976515&doi=10.1080%2f19427867.2020.1852505&partnerID=40&md5=6c3f0806ff1030fa130ca5bf51e2b226
https://scholars.lib.ntu.edu.tw/handle/123456789/575985
Abstract
Travel demands in remote areas are scattered and unstable. Thus, the integration of different types of transportation can be beneficial for improving the service level of transportation systems in remote areas. This study proposes a two-stage stochastic programming (SP) model for the integrated planning of a fixed-route–fixed-schedule bus service and dial-a-ride (DAR) transportation (DART) in remote areas. In the first stage, the route and timetable of a bus line are optimized as a set partitioning problem. In the second stage, DART is formulated as a pickup and delivery vehicle routing problem with time windows (PDVRPTW). A hybrid algorithm is developed to solve the two-stage SP problem. Case studies are presented to validate the planning model and the solution algorithm. Results show that the integration of bus and DAR services and the implementation of DART as PDVRPTW considerably reduce unserved demands and improve the service of the entire system. ? 2020 Informa UK Limited, trading as Taylor & Francis Group.
Subjects
Buses; Scheduling; Stochastic programming; Stochastic systems; Vehicle routing; Hybrid algorithms; Integrated planning; Pickup and delivery; Set partitioning problem; Solution algorithms; Stochastic programming model; Transportation system; Two-stage stochastic programming; Stochastic models
Type
journal article

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