Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 551-558 |
| Number of pages | 8 |
| Journal | Procedia Computer Science |
| Volume | 155 |
| DOIs | |
| State | Published - 2019 |
| Event | 16th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2019, 14th International Conference on Future Networks and Communications, FNC 2019, 9th International Conference on Sustainable Energy Information Technology, SEIT 2019 - Halifax, Canada Duration: Aug 19 2019 → Aug 21 2019 |
Funding
This manuscript has been authored by UT-Battelle, LLC under Contract No.DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a non-exclusive, paid up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. Government purposes. The DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan. This research was supported by the Exascale Computing Project (ECP-U-2017-009), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration.
Keywords
- Average hourly traffic speed
- Sustainable transportation
- Weather impact on speed