Incorporating Weather Effects in Traffic Flow Analysis
Inclement weather conditions may have a significant influence on traffic state estimation and prediction. To achieve more accurate estimation and prediction, it is essential to consider meteorological influence in the traffic flow estimation. This study first introduces an image-based method to analyze relevant meteorological features, using meteorological images data from the China National Meteorological Administration. The authors extract the features of hourly rainfall, hourly temperature, hourly humidity, and daily wind speed data across the country. The relationship between variables in the traffic flow model in various weather conditions in Ningbo City is analyzed using of traffic survey station data. The results show that temperature, illumination, and precipitation have a greater impact on some parameters in the traffic flow model, such as flow rate and average speed. Therefore, the traffic flow model analysis incorporating weather impacts can be effectively used for traffic state estimation and prediction under rainy conditions in Ningbo City.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483053
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Supplemental Notes:
- © 2020 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Hao, Zhengbo
- Huang, Wei
- Wang, Jiatan
- Yang, Xiaoguang
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Conference:
- 20th COTA International Conference of Transportation Professionals
- Location: Xi’an , China
- Date: 2020-8-14 to 2020-8-16
- Publication Date: 2020
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 351-363
- Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility
Subject/Index Terms
- TRT Terms: Atmospheric temperature; Humidity; Rainfall; Traffic flow; Weather conditions; Wind
- Geographic Terms: Ningbo (China)
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01767329
- Record Type: Publication
- ISBN: 9780784483053
- Files: TRIS, ASCE
- Created Date: Mar 22 2021 10:34AM