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|Title:||Robust optimization model of bus transit network design with stochastic travel time|
|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. 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|
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