City-scale holographic traffic flow data based on vehicular trajectory resampling

Despite abundant accessible traffic data, researches on traffic flow estimation and optimization still face the dilemma of detailedness and integrity in the measurement. A dataset of city-scale vehicular continuous trajectories featuring the finest resolution and integrity, as known as the holograph...

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Bibliographic Details
Published in:Scientific data 2023-01, Vol.10 (1), p.57-14, Article 57
Main Authors: Wang, Yimin, Chen, Yixian, Li, Guilong, Lu, Yuhuan, He, Zhaocheng, Yu, Zhi, Sun, Weiwei
Format: Article
Language:English
Subjects:
639/705/1046
706/2808
706/689/680
Data Descriptor
Humanities and Social Sciences
multidisciplinary
Science
Science (multidisciplinary)
Traffic flow
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Summary:Despite abundant accessible traffic data, researches on traffic flow estimation and optimization still face the dilemma of detailedness and integrity in the measurement. A dataset of city-scale vehicular continuous trajectories featuring the finest resolution and integrity, as known as the holographic traffic data, would be a breakthrough, for it could reproduce every detail of the traffic flow evolution and reveal the personal mobility pattern within the city. Due to the high coverage of Automatic Vehicle Identification (AVI) devices in Xuancheng city, we constructed one-month continuous trajectories of daily 80,000 vehicles in the city with accurate intersection passing time and no travel path estimation bias. With such holographic traffic data, it is possible to reproduce every detail of the traffic flow evolution. We presented a set of traffic flow data based on the holographic trajectories resampling, covering the whole city, including stationary average speed and flow data of 5-minute intervals and dynamic floating car data (FCD). Measurement(s) speed Technology Type(s) Interpolation Imputation Technique Sample Characteristic - Location Xuancheng City Prefecture
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-022-01850-0