A traffic accident dataset for Chattanooga, Tennessee-Reference-Cited by-同舟云学术

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A traffic accident dataset for Chattanooga, Tennessee

Published:2024-08 Issue: Volume:55 Page:110675
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Berres Andy^ORCID,Moriano Pablo,Xu Haowen,Tennille Sarah,Smith Lee,Storey Jonathan,Sanyal Jibonananda

Publisher

Elsevier BV

Reference6 articles.

1. Spatiotemporal features of traffic help reduce automatic accident detection time;Moriano;Expert Syst. Appl.,2024

2. A tagged traffic accident dataset for machine learning;Berres;Zenodo,2023

3. Continuous emulation and multiscale visualization of traffic flow using stationary roadside sensor data;Xu;IEEE Trans. Intell. Transp. Syst.,2022

4. Smart mobility in the cloud: enabling real-time situational awareness and cyber-physical control through a digital twin for traffic;Xu;IEEE Trans. Intell. Transp. Syst.,2023

5. Multiscale and multivariate transportation system visualization for shopping district traffic and regional traffic;Berres;Transp. Res. Rec.,2021

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