Abstract
Human drivers may perform replanning when facing traffic jams or when informed that there are expected delays on their planned routes. In this paper, we address the effects of drivers re-routing, an issue that has been ignored so far. We tackle re-routing scenarios, also considering traffic lights that are adaptive, in order to test whether such a form of co-adaptation may result in interferences or positive cumulative effects. An abstract route choice scenario is used which resembles many features of real world networks. Results of our experiments show that re-routing indeed pays off from a global perspective as the overall load of the network is balanced. Besides, re-routing is useful to compensate an eventual lack of adaptivity regarding traffic management. © 2008 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Bazzan, A. L. C., & Klügl, F. (2008). Re-routing agents in an abstract traffic scenario. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5249 LNAI, pp. 63–72). Springer Verlag. https://doi.org/10.1007/978-3-540-88190-2_12
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