Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/59192
Title: Robust optimization model of bus transit network design with stochastic travel time
Authors: Yan, Y.
Liu, Z.
Meng, Q. 
Jiang, Y.
Keywords: Models
Networks
Public transportation
Travel patterns
Issue Date: 2013
Citation: Yan, Y., Liu, Z., Meng, Q., Jiang, Y. (2013). Robust optimization model of bus transit network design with stochastic travel time. Journal of Transportation Engineering 139 (6) : 625-634. ScholarBank@NUS Repository.
Abstract: The design of urban bus transit systems aims to determine a network configuration with a set of bus lines and associated frequencies that achieve the targeted objective. This paper presents a methodology framework to formulate and solve the bus transit network design problem (TNDP). It first proposes a TNDP taking into account the travel time stochasticity. A robust optimization model is formulated for the proposed problem, which aims to minimize the sum of the expected value of the operator cost and its variability multiplied by a weighting value. A heuristic solution approach, based on k-shortest path algorithm, simulated annealing algorithm, Monte Carlo simulation, and probittype discrete choice model, is subsequently developed to solve the robust optimization model. Finally, the proposed methodology is applied to a numerical example © 2013 American Society of Civil Engineers.
Source Title: Journal of Transportation Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/59192
ISSN: 0733947X
Appears in Collections:Staff Publications

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