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This paper introduces a novel intention-aware routing system (IARS) for electric vehicles. This system enables vehicles to compute a routing policy that minimizes their expected journey time while considering the policies, or <bold>intentions</bold>, of other vehicles. Considering such intentions is critical for electric vehicles, which may need to recharge en route and face potentially...
A game-theoretic approach to dynamic routing is proposed in order to maximize the traffic throughput on a freeway network. While existing methods of informing drivers of the approximate travel times for the alternative routes do not in general yield the system optimum, we can achieve a better performance by introducing a leader-follower game with monetary incentives. In particular, a control strategy...
Traffic in densely populated regions increasingly suffers from congestion problems, to an extent which e.g. substantially affects predictable transport planning. Due to the highly dynamic character of congestion forming and dissolving, no static approach like shortest path finding, applied globally or individually in car navigators, is adequate here. In this paper we outline our current work on a...
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