A three-phase fundamental diagram from three-dimensional traffic data

Abstract : This paper uses empirical traffic data collected from three locations in Europe and the US to reveal a three-phase fundamental diagram with two phases located in the uncongested regime. Model-based clustering, hypothesis testing, and regression analyses are applied to the speed-flow-occupancy relationship represented in the three-dimensional space to rigorously validate the three phases and identify their gaps. The finding is consistent across the aforementioned different geographical locations. Accordingly , we propose a three-phase macroscopic traffic flow model and a characterization of solutions to the Riemann problems. This work identifies critical structures in the fundamental diagram that are typically ignored in first-and higher-order models, and could significantly impact travel time estimation on highways.
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https://hal.inria.fr/hal-01864628
Contributeur : Maria Laura Delle Monache <>
Soumis le : jeudi 30 août 2018 - 11:56:29
Dernière modification le : mercredi 12 septembre 2018 - 01:15:45

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  • HAL Id : hal-01864628, version 1

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Maria Laura Delle Monache, Karen Chi, Yong Chen, Paola Goatin, Ke Han, et al.. A three-phase fundamental diagram from three-dimensional traffic data. 2018. 〈hal-01864628〉

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