An Iterative Algorithm to Determine the Dynamic User Equilibrium in a Traffic Simulation Model

1998 ◽  
Vol 09 (03) ◽  
pp. 393-407 ◽  
Author(s):  
C. Gawron
Keyword(s):  
Probability Distribution ◽  
Simulation Model ◽  
Iterative Algorithm ◽  
Traffic Simulation ◽  
User Equilibrium ◽  
Dynamic User Equilibrium ◽  
Queuing Model ◽  
Travel Costs ◽  
Dynamic Version ◽  
The Stability

An iterative algorithm to determine the dynamic user equilibrium with respect to link costs defined by a traffic simulation model is presented. Each driver's route choice is modeled by a discrete probability distribution which is used to select a route in the simulation. After each simulation run, the probability distribution is adapted to minimize the travel costs. Although the algorithm does not depend on the simulation model, a queuing model is used for performance reasons. The stability of the algorithm is analyzed for a simple example network. As an application example, a dynamic version of Braess's paradox is studied.

scholarly journals Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model: A demand-side model

2018 ◽  
Vol 107 ◽  
pp. 102-123 ◽  
Author(s):  
Qing Li ◽  
Feixiong Liao ◽  
Harry J.P. Timmermans ◽  
Haijun Huang ◽  
Jing Zhou
Keyword(s):  
Equilibrium Model ◽  
User Equilibrium ◽  
Demand Side ◽  
Car Sharing ◽  
Dynamic User Equilibrium
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