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Simulation-Based Traffic Management System for Connected and Autonomous Vehicles

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cris.lastimport.scopus2024-02-12T20:26:56Z
dc.abstract.enThe paper presents an idea for a simulation-based traffic management system, which may be especially successful in the era of connected and autonomous vehicles (CAVs). The most important aspect of the system is its ability to evaluate traffic conditions for different traffic control strategies (e.g., different traffic signal settings, different route assignments) using fast traffic simulations and neural networks. It also employs metaheuristics (e.g., genetic algorithms) to find (sub)optimal traffic control strategies. Results of initial experiments show that building such traffic management system might be technically feasible and it may be especially successful in the era of CAVs, for which it may be possible to collect required traffic data and make accurate traffic predictions.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorGora, Paweł
dc.date.accessioned2024-01-29T02:55:05Z
dc.date.available2024-01-29T02:55:05Z
dc.date.issued2018
dc.description.financeNie dotyczy
dc.identifier.doi10.1007/978-3-319-60934-8_21
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/159784
dc.identifier.weblinkhttps://link.springer.com/chapter/10.1007%2F978-3-319-60934-8_21
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.publisher.ministerialSpringer
dc.relation.bookRoad Vehicle Automation 4
dc.relation.pages257-266
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enConnected autonomous vehicles
dc.subject.enTraffic management
dc.subject.enSimulation
dc.titleSimulation-Based Traffic Management System for Connected and Autonomous Vehicles
dc.typeMonographChapter
dspace.entity.typePublication