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Journal Articles Procedia Computer Science Year : 2020

An Efficient Learning Assistant for a Contextual Road Navigation

Abstract

Due to traffic conditions that are very context dependent, the computation of optimized or shortest paths is a very complex problem for both drivers and autonomous vehicles. In this paper, we introduce a learning mechanism that is able to efficiently evaluate path durations based on an abstraction of the available traffic information. We demonstrate that a cache data structure allows a permanent access to the results whereas a lazy politics taking new data into account is used to increase the viability of those results. Our measures highlight the performance of each mechanism, according to different learning strategies.
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Dates and versions

hal-03042134 , version 1 (06-12-2020)

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Jean-Michel Ilie, Karim Lahiani, Ahmed-Chawki Chaouche, François Pêcheux. An Efficient Learning Assistant for a Contextual Road Navigation. Procedia Computer Science, 2020, 170, pp.522-529. ⟨10.1016/j.procs.2020.03.119⟩. ⟨hal-03042134⟩
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