We introduce solution methods for finding a system-optimal or at least system-aware set of routes for multiple concurrently travelers on a road network such that congestion is minimized, i.e. traffic flow is maximized. Beside a dynamic programming approach, we present a basic heuristic mimicking the current state-of-the-art resulting in a user equilibrium and a multistart local search based approach approximating the system-optimum. Experimental results show that the chosen approaches are promising and that heavy congestion can be avoided when applying such a planning approach.
CITATION STYLE
Prandtstetter, M., & Seragiotto, C. (2018). Towards system-aware routes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10671 LNCS, pp. 291–298). Springer Verlag. https://doi.org/10.1007/978-3-319-74718-7_35
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