Regional-scale Spatio-Temporal Analysis of Impacts of Weather on Traffic Speed in Chicago using Probe Data
| Autor: | Melissa R. Allen, Anne Berres, Srinath Ravulaparthy, Jibonananda Sanyal, Kuldeep Kurte |
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| Rok vydání: | 2019 |
| Předmět: |
Meteorology
Computer science Spatio-Temporal Analysis 020206 networking & telecommunications 02 engineering and technology Work (electrical) Sustainability 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences Traffic speed 020201 artificial intelligence & image processing Precipitation Weather patterns Scale (map) Visibility General Environmental Science |
| Zdroj: | Procedia Computer Science. 155:551-558 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2019.08.076 |
| Popis: | Understanding a regional-scale impact of the weather on the transportation system and how that impact varies geographically, is important from a sustainability standpoint. In this work, we have performed a city-scale analysis on the impact of weather on the traffic speed for the City of Chicago. We have found that there is a significant variation in the average hourly speed due to different weather patterns which also varies geographically. We have also observed that the rainfall has an evident impact on the average hourly speed on the freeways that are influenced by urbanized residential and commercial areas, and non-urbanized areas. Also, low visibility has shown a significant reduction in the average hourly traffic speed during the congested hours on the freeways that are influenced by non urbanized areas. We anticipate the contributions of this work in estimating emission and fuel economy at a regional scale which are important sustainability measures for transportation. |
| Databáze: | OpenAIRE |
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