Interpreting Traffic Congestion Using Fundamental Diagrams and Probabilistic Graphical Modeling

Silva, Carla; d’Orey, Pedro M.; Aguiar, Ana

doi:10.1109/icdmw.2018.00090

Cited by 4 publications

(1 citation statement)

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“…Finally, congestion is studied in Porto, (Portugal) with diagrams and probabilistic models (Silva, d'Orey et al 2018), for this they use data obtained from taxis and the weather, but only focusing on a small central area.…”

Section: Related Workmentioning

confidence: 99%

Analysis of traffic velocity under different weather and temporary conditions

Adrián¹

2021

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The density of traffic within urban areas depends on multiple factors, and among those; one that has major impact is the weather. This paper presents a study that empirically analyzes the traffic flow velocity depending on the atmospherically conditions and the day schedule. The objective is to assess systematically to which extent there is a correlation between the vehicle velocity on an urban environment and the weather, depending on the time of day. The presented case of study uses a set of real data, specifically the trips made by taxis in the city of Porto (Portugal). First, the vehicle GPS routes are analyzed to identify departure and arrival points and estimate the route average velocity and adding weather and time conditions. The data is processed with different regressive techniques to obtain the influence of the variables on the velocity. The results show differences between days of the day and weekends, as well as differences in speeds with a favorable climate for driving compared to other more adverse ones.

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Section: Related Workmentioning

confidence: 99%