| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 5 | |
| Section | Traffic Construction Engineering and Transportation Optimization | |
| DOI | https://doi.org/10.1051/e3sconf/202451203006 | |
| Published online | 10 April 2024 | |
Research on Big Data Traffic Congestion Analysis and Judgement Platform Technology
1 China Mobile Hubei Co., Ltd. Jingzhou Branch,Jingzhou, Hubei, 434000, China
2 Wuhan University of Technology School of Transportation and Logistics Engineering, Wuhan, Hubei 430063, China
3 Wuhan University of Technology School of Transportation and Logistics Engineering, Wuhan, Hubei 430063, China
a 13507252689@139.com
b bearmos@163.com
c 2314827318@qq.com
Due to the lack of peak intersection congestion coordination control strategy, at present, most of the points during the peak period of the urban area only fixed cycle control, can not sense the downstream intersection queuing length in time, resulting in the downstream congestion is still normal release, so that part of the vehicle into the intersection queue, in the cross-direction before the release of the intersection can not be timely driven out of the intersection, affecting the cross-release of the vehicle traffic, resulting in intersection blockage. In the platform to introduce the peak intersection congestion coordination control strategy to reduce the length of vehicle queues to ease peak congestion, the platform is mainly responsible for congestion analysis, indicator calculation, traffic research and judgement can be found in the real-time environment of the congestion and the formulation of countermeasures to support the signal control, traffic organisation, police scheduling and so on.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.