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High-resolution traffic flow data in Glasgow

Authors: Yue, Li; Zhao, Qunshan; Wang, Mingshu;

High-resolution traffic flow data in Glasgow

Abstract

Description of the dataset This dataset offers a long-term traffic flow data at an intra-city scale with high spatio-temporal granularity. The dataset covers the Glasgow City Council area for four consecutive years spanning the COVID-19 pandemic, from October 2019 to September 2023, providing comprehensive temporal and spatial coverage. The code used to produce the indicators is available at: https://github.com/YueLi-0816/TrafficFlowData. This work is funded by the China Scholarship Council (CSC) from the Ministry of Education of P.R. China, the ESRC’s ongoing support for the Urban Big Data Centre (UBDC), and the Royal Society International Exchange Scheme. Contents Sensor location metadata - locations.csv Column name Description id Unique ID for each sensor, e.g., GA0601_T. latitude The Latitude in decimal degrees of WGS84 coordinates, e.g., 55.86238129. longitude The Longitude in decimal degrees of WGS84 coordinates, e.g., -4.26570708. Traffic flows metadata File name Description [sensor_id].csv Traffic flows. [sensor_id] refers to the ‘id’ from the locations.csv Column name Description date The date the data is collected (YYYY-MM-DD), e.g., 2021-11-04. time The hours of the day the data is collected range from 0 to 23, 0 = [0,1), 23 = [23,24). flow Number of vehicles that pass the sensor location during the one-hour interval. 

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Keywords

traffic flow, urban studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average