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Communication Dans Un Congrès Année : 2024

Detecting car-following and platoons within traffic using the dynamic time warping algorithm

Résumé

The increase in adaptive cruise control (ACC) penetration rate might increase energy consumption, reduce road capacity, and decrease safety levels. Those externalities can be linked with the string instability they create while platooning. To assess ACC’s future impact, it is necessary to know the percentage of platoons within traffic and their length. However, no method exists to quantify platoons. This article proposes a new approach to detect car-following based on dynamic time warping. This methodology is then extended to platooning. The method is then validated on a trajectory dataset both in free-flow and congested conditions. The framework appears promising as it highlights efficiently if a vehicle is car-following or platooning, and it determines the size of the platoon.

Domaines

Génie civil
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Dates et versions

hal-04544042 , version 1 (12-04-2024)

Identifiants

  • HAL Id : hal-04544042 , version 1

Citer

Thibault Charlottin, Silvia Varotto, Christine Buisson. Detecting car-following and platoons within traffic using the dynamic time warping algorithm. Heart 2024, 12th Symposium of the European Association for Research in Transportation, European Association for Research in Transportation, Jun 2024, Aalto, Finland. ⟨hal-04544042⟩
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