Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
Series Vol. 5 , 25 May 2023
Open
Access | Article
How to Reduce Traffic Jams when Flood Happens
* Author to whom correspondence should be addressed.
Abstract
Most map applications play the job of navigating users and informing them of traffic jams. However, they often cannot deal with an emergent situation when a disaster such as a flood takes place. This paper aims at providing a solution for map and navigation applications how to ensure users’ safety when natural disasters of floods happen. The subject uses sensors, programming, and perceptrons to prompt the study and take the Beijing-Hangzhou canal as a sample since each river has its warning water levels. Nevertheless, this paper provides a solution to the research aim, no experiments are involved.
Keywords
flood risk, traffic, GPS.
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
- ISBN (Print)
- 978-1-915371-53-9
- ISBN (Online)
- 978-1-915371-54-6
- Published Date
- 25 May 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/5/20230575
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited