This paper aims to systematically evaluate benefits of traveler information provision strategies in a realistic environment with stochastic traffic demand, stochastic road capacity, and different degrees of traveler knowledge and traffic information provision quality. Based on a stochastic user equilibrium modeling framework, the proposed model uses a multi-day representation scheme to describe stochastic samples of uncertain demand and capacity supply, as well as day-dependent travel time. A gap-function based optimization model is further developed to find equilibrium solutions.
Quantifying benefits of traffic information provision under stochastic demand and capacity conditions: A multi-day traffic equilibrium approach
2011-10-01
382549 byte
Conference paper
Electronic Resource
English
Quantifying traveler information provision in dynamic heterogeneous traffic networks
Taylor & Francis Verlag | 2019
|Traffic Paradox Under Different Equilibrium Conditions Considering Elastic Demand
DOAJ | 2019
|Stochastic Choice Behavior on Road Traffic Networks under Information Provision
Tema Archive | 2013
|Stochastic Choice Behavior on Road Traffic Networks under Information Provision
Trans Tech Publications | 2013
|