Dataset: Mobility Patterns of a Coastal Area Using Traffic Classification Radars

Joaquim Ferreira, Rui Aguiar, José A. Fonseca, João Almeida, João Barraca, Diogo Gomes, Rafael Oliveira, João Rufino, Fernando Braz and Pedro Gonçalves
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Joaquim Ferreira: Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Aveiro, P-3810-193 Aveiro, Portugal
Rui Aguiar: Departamento de Eletrónica Telecomunicações e Informática, Instituto de Telecomunicações, Universidade de Aveiro, P-3810-193 Aveiro, Portugal
José A. Fonseca: Departamento de Eletrónica Telecomunicações e Informática, Instituto de Telecomunicações, Universidade de Aveiro, P-3810-193 Aveiro, Portugal
João Almeida: Instituto de Telecomunicações, Campus Universitário de Santiago, P-3810-193 Aveiro, Portugal
João Barraca: Departamento de Eletrónica Telecomunicações e Informática, Instituto de Telecomunicações, Universidade de Aveiro, P-3810-193 Aveiro, Portugal
Diogo Gomes: Departamento de Eletrónica Telecomunicações e Informática, Instituto de Telecomunicações, Universidade de Aveiro, P-3810-193 Aveiro, Portugal
Rafael Oliveira: Instituto de Telecomunicações, Campus Universitário de Santiago, P-3810-193 Aveiro, Portugal
João Rufino: Instituto de Telecomunicações, Campus Universitário de Santiago, P-3810-193 Aveiro, Portugal
Fernando Braz: Instituto Federal Catarinense, Campus Araquari, Araquari 89245-000, Brazil
Pedro Gonçalves: Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Aveiro, P-3810-193 Aveiro, Portugal

Data, 2022, vol. 7, issue 7, 1-11

Abstract: Monitoring road traffic is extremely important given the possibilities it opens up in terms of studying the behavior of road users, road design and planning problems, as well as because it can be used to predict future traffic. Especially on highways that connect beaches and larger urban areas, traffic is characterized by having peaks that are highly dependent on weather conditions and rest periods. This paper describes a dataset of mobility patterns of a coastal area in Aveiro region, Portugal, fully covered with traffic classification radars, over a two-year period. The sensing infrastructure was deployed in the scope of the PASMO project, an open living lab for co-operative intelligent transportation systems. The data gathered includes the speed of the detected objects, their position, and their type (heavy vehicle, light vehicle, two-wheeler, and pedestrian). The dataset includes 74,305 records, corresponding to the aggregation of road information at 10 min intervals. A brief analysis of the dataset shows the highly dynamic nature of traffic during the two-year period. In addition, the existence of meteorological records from nearby stations, and the recording of daily data on COVID-19 infections, make it possible to cross-reference information and study the influence of weather conditions and infections on traffic behavior.

Keywords: highway traffic; traffic classification radar information; beach access; mobility patterns (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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