School of Civil Engineering

Demand management and estimation in large scale traffic networks

Demand management and estimation for large scale traffic networks is an essential requirement for the elimination of traffic congestion in urban networks. The intervention of macroscopic traffic models based on the macroscopic fundamental diagram has enabled to develop large scale demand management strategies targeting demand reduction and demand redistribution. The study develops a demand management strategy to redistribute the demand by limited schedule changes, and a demand estimation method by harnessing the MFD based traffic dynamics. The demand management strategy introduces a city-scale realistic day-to-day assignment model to evaluate equilibrium conditions for a two-region urban network. The demand estimation method presents a pragmatic method to estimate origin-destination flows on complexed large-scale traffic networks combined with urban roads and freeways.

11:00am - 12:00pm

Wednesday, 27 November 2019


Room 622
General Purpose South (78)