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A traffic signal and loop detector dataset of an urban intersection regulated by a fully actuated signal control system.
Genser, Alexander; Makridis, Michail A; Yang, Kaidi; Abmühl, Lukas; Menendez, Monica; Kouvelas, Anastasios.
Afiliação
  • Genser A; Department of Civil, Institute for Transport Planning and Systems, Environmental and Geomatic Engineering, ETH Zurich, Zurich CH-8093, Switzerland.
  • Makridis MA; Department of Civil, Institute for Transport Planning and Systems, Environmental and Geomatic Engineering, ETH Zurich, Zurich CH-8093, Switzerland.
  • Yang K; Department of Civil and Environmental Engineering, National University of Singapore (NUS), 117576 Singapore.
  • Abmühl L; Department of Civil, Institute for Transport Planning and Systems, Environmental and Geomatic Engineering, ETH Zurich, Zurich CH-8093, Switzerland.
  • Menendez M; Division of Engineering, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi 129188 United Arab Emirates.
  • Kouvelas A; Department of Civil, Institute for Transport Planning and Systems, Environmental and Geomatic Engineering, ETH Zurich, Zurich CH-8093, Switzerland.
Data Brief ; 48: 109117, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37122927
ABSTRACT
Fully actuated signal controls are becoming increasingly popular in modern urban environments, attempting to reduce congestion locally, synchronize flows, or prioritize specific types of vehicles. This trend is expected to grow as more vehicles are expected to communicate via Vehicle-to-Infrastructure (V2I) communication. The presented dataset contains cleaned observations from a fully actuated signal control system with priority for public transportation. Time series data of traffic signals that regulate vehicle, public transportation, bicycle, and pedestrian traffic flows are available, showing where a traffic signal operates in a red or green phase. Also, loop detector data representing the occupancy at several locations at an urban intersection in Zurich, Switzerland is available. The data of all traffic signals and loop detectors corresponds to January and February 2019 and has a resolution of 1 s. Recent advances in transportation science show novel approaches for signalized intersections, but most publications assess their methodology on self-collected or simulated data. Therefore, the presented dataset aims at facilitating the development, calibration, and validation of novel methodological developments for modeling, estimation, forecasting, and other tasks in traffic engineering. Furthermore, it can be used as a real-world benchmark dataset for objectively comparing different methodologies.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article