Please use this identifier to cite or link to this item:
|Title:||Robust optimization model of bus transit network design with stochastic travel time|
|Source:||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. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000536|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 15, 2018
WEB OF SCIENCETM
checked on Feb 5, 2018
checked on Feb 19, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.