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In this paper, we aim to implement an urban network-level traffic routing scheme for autonomous vehicles to mitigate congestion in urban areas. We first present an implementation of a region-based dynamic traffic model. Subsequently, we present an innovative predictive routing approach for autonomous vehicles, dynamic forecast routing, and apply it on a set of homogeneous regions, making use of Urban-scale...
In this paper we aim to implement an urban network-level traffic management scheme to mitigate congestion in urban areas by considering the effect of route choice at an aggregated level. We first present an implementation of a region-based dynamic traffic model. Then we present a strategic learning approach and a test case where we compare our approach to other routing strategies we have integrated...
Congestion in urban areas constitutes an important problem that affects people in explicit but also implicit ways. Current research literature on Urban Traffic Estimation has shown that homogeneous distribution of vehicle density along the links of urban traffic networks plays an important role in the derivation or even the existence of the so-called Urban-Scale Macroscopic Fundamental Diagram or...
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