Solving demand-responsive feeder transit service design with fuzzy travel demand: A collaborative ant colony algorithm approach
Author:
Affiliation:
1. College of Civil and Transportation Engineering, Hebei University of Technology, China
2. School of Transportation, Nantong University, Nantong, China
3. Nantong Research Institute for Advanced Communication Technologies, Nantong, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference24 articles.
1. Stepwise multi-criteria and multi-strategy design of public transit shuttles;Ceder;Journal of Multi-Criteria Decision Analysis,2009
2. Bi-level programming model for multi-modal regional bus timetable and vehicle dispatch with stochastic travel time;Wei;Cluster Computing,2017
3. Optimal design of demand-responsive feeder transit services with passengers’ multiple time windows and satisfaction;Sun;Future Internet,2018
4. Personalised and coordinated demand-responsive feeder transit service design: A genetic algorithms approach;Sun;Future Internet,2018
5. An agent-based model for dispatching real-time demand-responsive feeder bus;Li;Mathematical Problems in Engineering,2018
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