Research on the Analysis Method of Highway Traffic Impact Under Large-Scale Emergencies with Passenger Cars as an Example

Hongchun Zhang; Zheng Zhou; Mengru Shen

doi:10.2991/978-94-6463-473-0_21

<Previous Article In Volume

Research on the Analysis Method of Highway Traffic Impact Under Large-Scale Emergencies with Passenger Cars as an Example

Authors

Hongchun Zhang¹, Zheng Zhou²^{, *}, Mengru Shen³

¹Beijing Jiaotong University, Beijing, China

²Beijing Center for Patent Examination Cooperation, Patent Office, State Intellectual Property Office, Beijing, China

³Key Laboratory of Comprehensive Transportation Big Data Application Technology Industry, Ministry of Transportation, Beijing Jiaotong University), Beijing, China

^*Corresponding author. Email: tczz_13@163.com

Corresponding Author

Zheng Zhou

Available Online 22 August 2024.

DOI: 10.2991/978-94-6463-473-0_21 How to use a DOI?
Keywords: major emergency events; expressway; attenuation factor; traffic forecast
Abstract: For the monitoring of highway network operation under the influence of large-scale emergencies, based on the historical traffic flow data, using time series and other models to predict the traffic flow that is not affected by large-scale emergencies, combined with the same spatial and temporal scales of the affected flow data, to conduct a comparative analysis, and put forward the flow judgement model based on the attenuation factor. Finally, the data of expressway passenger train operation in Guangdong Province is taken as the research object to verify. The experiment proves that the model has a good effect, which can provide support for the traffic prediction of expressway management departments in the case of large-scale emergencies, and support them to make scientific decisions in high-speed management business.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume

Volume Title: Proceedings of the 2024 3rd International Conference on Applied Mechanics and Engineering Structures (AMES 2024)
Series: Advances in Engineering Research
Publication Date: 22 August 2024
ISBN: 978-94-6463-473-0
ISSN: 2352-5401
DOI: 10.2991/978-94-6463-473-0_21 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Hongchun Zhang
AU  - Zheng Zhou
AU  - Mengru Shen
PY  - 2024
DA  - 2024/08/22
TI  - Research on the Analysis Method of Highway Traffic Impact Under Large-Scale Emergencies with Passenger Cars as an Example
BT  - Proceedings of the 2024 3rd International Conference on Applied Mechanics and Engineering Structures (AMES 2024)
PB  - Atlantis Press
SP  - 197
EP  - 201
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-473-0_21
DO  - 10.2991/978-94-6463-473-0_21
ID  - Zhang2024
ER  -

download .riscopy to clipboard