{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:00:44Z","timestamp":1760238044798,"version":"build-2065373602"},"reference-count":20,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T00:00:00Z","timestamp":1657670400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Regional Development Fund (FEDER)","award":["POCI-01-0247-FEDER-069989"],"award-info":[{"award-number":["POCI-01-0247-FEDER-069989"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/data7070097","type":"journal-article","created":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T22:06:00Z","timestamp":1657749960000},"page":"97","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dataset: Mobility Patterns of a Coastal Area Using Traffic Classification Radars"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7471-5135","authenticated-orcid":false,"given":"Joaquim","family":"Ferreira","sequence":"first","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Escola Superior de Tecnologia e Gest\u00e3o de \u00c1gueda, Universidade de Aveiro, Aveiro, P-3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0107-6253","authenticated-orcid":false,"given":"Rui","family":"Aguiar","sequence":"additional","affiliation":[{"name":"Departamento de Eletr\u00f3nica Telecomunica\u00e7\u00f5es e Inform\u00e1tica, Instituto de Telecomunica\u00e7\u00f5es, Universidade de Aveiro, P-3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5386-0782","authenticated-orcid":false,"given":"Jos\u00e9 A.","family":"Fonseca","sequence":"additional","affiliation":[{"name":"Departamento de Eletr\u00f3nica Telecomunica\u00e7\u00f5es e Inform\u00e1tica, Instituto de Telecomunica\u00e7\u00f5es, Universidade de Aveiro, P-3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6634-6213","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Almeida","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Campus Universit\u00e1rio de Santiago, P-3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5029-6191","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Barraca","sequence":"additional","affiliation":[{"name":"Departamento de Eletr\u00f3nica Telecomunica\u00e7\u00f5es e Inform\u00e1tica, Instituto de Telecomunica\u00e7\u00f5es, Universidade de Aveiro, P-3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5848-2802","authenticated-orcid":false,"given":"Diogo","family":"Gomes","sequence":"additional","affiliation":[{"name":"Departamento de Eletr\u00f3nica Telecomunica\u00e7\u00f5es e Inform\u00e1tica, Instituto de Telecomunica\u00e7\u00f5es, Universidade de Aveiro, P-3810-193 Aveiro, Portugal"}]},{"given":"Rafael","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Campus Universit\u00e1rio de Santiago, P-3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7628-4423","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Rufino","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Campus Universit\u00e1rio de Santiago, P-3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5128-2253","authenticated-orcid":false,"given":"Fernando","family":"Braz","sequence":"additional","affiliation":[{"name":"Instituto Federal Catarinense, Campus Araquari, Araquari 89245-000, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7696-4231","authenticated-orcid":false,"given":"Pedro","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Escola Superior de Tecnologia e Gest\u00e3o de \u00c1gueda, Universidade de Aveiro, Aveiro, P-3810-193 Aveiro, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ferreira, J., Fonseca, J., Gomes, D., Barraca, J., Fernandes, B., Rufino, J., Almeida, J., and Aguiar, R. (2017, January 14\u201317). PASMO: An open living lab for cooperative ITS and smart regions. Proceedings of the 2017 International Smart Cities Conference (ISC2), Wuxi, China.","DOI":"10.1109\/ISC2.2017.8090866"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Almeida, J., Rufino, J., Cardoso, F., Gomes, M., and Ferreira, J. (2020, January 25\u201328). TRUST: Transportation and Road Monitoring System for Ubiquitous Real-Time Information Services. Proceedings of the IEEE Vehicular Technology Conference, Antwerp, Belgium.","DOI":"10.1109\/VTC2020-Spring48590.2020.9129634"},{"key":"ref_3","unstructured":"(2022, May 15). Traffic Control Center. Available online: https:\/\/ccam.av.it.pt."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"217526","DOI":"10.1109\/ACCESS.2020.3039410","article-title":"Short-term traffic flow prediction using the modified elman recurrent 600 neural network optimized through a genetic algorithm","volume":"8","author":"Mirshafiei","year":"2020","journal-title":"IEEE Access"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"5486","DOI":"10.1109\/TITS.2020.2987614","article-title":"An automated hyperparameter search-based deep learning model for highway traffic prediction","volume":"22","author":"Yi","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Hu, Z., Sun, R., Shao, F., and Sui, Y. (2021). An efficient short-term traffic speed prediction model based on improved TCN and GCN. Sensors, 21.","DOI":"10.3390\/s21206735"},{"key":"ref_7","unstructured":"(2022, April 04). Performance Measurement System (PeMS) Data Source, Available online: https:\/\/dot.ca.gov\/programs\/traffic-operations\/mpr\/pems-source."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Wei, W., Wu, H., and Ma, H. (2019). An autoencoder and LSTM-based traffic flow prediction method. Sensors, 19.","DOI":"10.3390\/s19132946"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Simunek, M., and Smutny, Z. (2020). Traffic information enrichment: Creating long-term traffic speed prediction ensemble model for better navigation through waypoints. Appl. Sci., 11.","DOI":"10.3390\/app11010315"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"5559562","DOI":"10.1155\/2021\/5559562","article-title":"Spatio-temporal segmented traffic flow prediction with ANPRS data based on improved XGBoost","volume":"2021","author":"Sun","year":"2021","journal-title":"J. Adv. Transp."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1109\/TITS.2019.2963722","article-title":"Optimized graph convolution recurrent neural network for traffic prediction","volume":"22","author":"Guo","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1997212","DOI":"10.1155\/2021\/1997212","article-title":"A Graph Convolutional Method for Traffic Flow Prediction in Highway Network","volume":"2021","author":"Zhang","year":"2021","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Hoseinzadeh, N., Gu, Y., Han, L.D., Brakewood, C., and Freeze, P.B. (2021). Estimating freeway level-of-service using crowdsourced data. Informatics, 8.","DOI":"10.3390\/informatics8010017"},{"key":"ref_14","unstructured":"Cruz, S., and Aguiar, A. (2020, April 13). \u201cCooperative Localization in Vehicular Networks Dataset\u201d, IEEE Dataport. Available online: https:\/\/doi.org\/10.21227\/jtqe-q772."},{"key":"ref_15","unstructured":"Cruz, S.B., and Aguiar, A. (2020, June 23). Road Vehicle Localization Dataset. IEEE Dataport, Available online: https:\/\/doi.org\/10.21227\/92ya-v240."},{"key":"ref_16","unstructured":"(2022, July 01). UMRR Traffic Management Sensor Data Sheet. Available online: https:\/\/www.smartmicro.com\/fileadmin\/media\/Downloads\/Traffic_Radar\/Sensor_Data_Sheets__24_GHz_\/UMRR_Traffic_Sensor_Type_42_Data_Sheet.pdf."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Correia, M., Almeida, J., Bartolomeu, P.C., Fonseca, J.A., and Ferreira, J. (2022). Performance Assessment of Collective Perception Service Supported by the Roadside Infrastructure. Electronics, 11.","DOI":"10.3390\/electronics11030347"},{"key":"ref_18","unstructured":"Oliveira, R. (2022). Aplica\u00e7\u00f5es de IoT No Contexto de uma Cidade Inteligente. [Master\u2019s Dissertation, Universidade de Aveiro]. Available online: http:\/\/hdl.handle.net\/10773\/31381."},{"key":"ref_19","unstructured":"Correia, M. (2021). Roadside Infrastructure to Support Cooperative Intelligent Transportation Systems. [Master\u2019s Dissertation, Universidade de Aveiro]. Available online: http:\/\/hdl.handle.net\/10773\/33731."},{"key":"ref_20","unstructured":"(2022, March 15). GitHub-Dssg-pt\/COVID-19PT-Data: Dados Relativos \u00e0 Pandemia COVID-19 em Portugal. Available online: https:\/\/github.com\/dssg-pt\/covid19pt-data."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/7\/7\/97\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:49:28Z","timestamp":1760140168000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/7\/7\/97"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,13]]},"references-count":20,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2022,7]]}},"alternative-id":["data7070097"],"URL":"https:\/\/doi.org\/10.3390\/data7070097","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2022,7,13]]}}}