Abstract
Most existing network design models ignore uncertainties that usually have negative impacts on the performance of a road network. A bi-level model for the continuous network design problem (CNDP) is proposed, in which uncertainties due to the normal day-to-day variations in the travel demand are explicitly considered. At the upper level problem, the system performance index is defined as the weighted sum of the expected total travel time and the investment costs of link capacity expansions. At the lower level, user equilibrium is used to simulate the travelers' route choice behaviors under stochastic demand. Then a simulation-based genetic algorithm is presented for the model. Finally a simple numerical example is provided to illustrate the model and the algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
