This paper proposes a robust transport network capacity planning model (RTNCP) with demand uncertainty. The stochastic demand is assumed to follow a normal distribution with travellers' route choice behaviour following Probit Stochastic User Equilibrium (SUE). The network reserve capacity is measured by potential increase in both mean and standard deviation of the base stochastic demand. The objective of the RTNCP is, thus, to optimise the link capacity expansion so as to maximize the weighted sum of mean and standard deviation perturbed demands without violating the link capacity and budget constraints. The paper applies the implicit programming method to solve the optimization problem. The sensitivity analysis approach is adopted to derive the derivative of the equilibrium path choice probability with respect to design variables. The proposed model and algorithm are then applied to a test network.
Robust Transport Network Capacity Planning with Demand Uncertainty
Sixth International Conference of Traffic and Transportation Studies Congress (ICTTS) ; 2008 ; Nanning, China
2008-07-17
Conference paper
Electronic Resource
English
Robust Evaluation for Transportation Network Capacity under Demand Uncertainty
DOAJ | 2017
|Evaluation and Design of Transport Network Capacity under Demand Uncertainty
Transportation Research Record | 2009
|Evaluation and Design of Transport Network Capacity Under Demand Uncertainty
Online Contents | 2009
|Robust Approach to Discrete Network Designs with Demand Uncertainty
Transportation Research Record | 2009
|