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Re-routing agents in an abstract traffic scenario
UFRGS, Porto Alegre, Brazil.
Örebro universitet, Akademin för naturvetenskap och teknik. (Modeling and Simulation Research Center)ORCID-id: 0000-0002-1470-6288
2008 (engelsk)Inngår i: Advances in artificial intelligence: SBIA 2008 / [ed] Gerson Zaverucha, Augusto Loureiro da Costa, Berlin: Springer , 2008, s. 63-72Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Berlin: Springer , 2008. s. 63-72
Serie
Lecture notes in computer science ; 5249
HSV kategori
Forskningsprogram
Data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-5251DOI: 10.1007/978-3-540-88190-2_12ISBN: 978-3-540-88189-6 (tryckt)OAI: oai:DiVA.org:oru-5251DiVA, id: diva2:158355
Konferanse
19th Brazilian Symposium on Artificial Intelligence, Savador, Brazil, October 26-30, 2008
Tilgjengelig fra: 2009-02-02 Laget: 2009-02-02 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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