Daniel Cagara
ABSTRACT
Traffic assignment is a complex optimization problem. In case the road network has many links (thus a high number of alternative routes) and multiple origin-destination pairs, most existing solutions approximate the so-called user equilibrium (a variant of Nash equilibrium). Furthermore, the quality of these solutions (mostly, iterative algorithms) come at the expense of computational performance. In this study, we introduce a methodology to evaluate an approximation of an optimal traffic assignment from the global network's perspective based on genetic algorithms. This approach has been investigated in terms of both network performance (travel time) and convergence speed.
- J. de Dios Ortúzar, L. G. Willumsen, et al. Modelling transport. Wiley Chichester, 2001.Google Scholar
- C. Gawron. Simulation-Based Traffic Assignment - Computing User Equilibria in Large Street Networks. PhD thesis, 1999.Google Scholar
- J. G. Wardrop. Road paper. some theoretical aspects of road traffic research. In ICE Proceedings: Engineering Divisions, volume 1, pages 325--362. Ice Virtual Library, 1952.Google ScholarCross Ref
Index Terms
- Getting you faster to work: a genetic algorithm approach to the traffic assignment problem
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