The Research on the Pre Blocking Scheduling Method for Elevated Road Based on Video
- DOI
- 10.2991/amms-17.2017.91How to use a DOI?
- Keywords
- visual detection; viaduct; taxi speed; pre exclude congestion
- Abstract
This paper has obtained the taxi speed through the high road video monitoring system to determine whether the elevated road is congested. A scheduling method is proposed to preclude overhead road congestion in advance. The existing video monitoring system is used as base. The vehicle is extracted by means of motion target detection. The type of vehicle is distinguished by the Hu invariant moment. The vehicle is divided into color and non-color through HSL (Hue Saturation and Lightness) space. The centroid location of the color vehicle is carried out and the color recognition of the matrix in the centroid range is used to judge whether the vehicle has a dome light. If the vehicle is a taxi, measure the speed of the taxi. Traffic congestions in the viaduct is deemed to occur soon if the taxi speed is obviously lower. Relevant measures shall be taken immediately to eliminate the possibility of congestion and ensure the normal use of viaduct. Because of the complexity of traffic congestion, the process of removing congestion is very difficult. Predicting the occurrence of traffic congestion and scheduling can alleviate this contradiction. Meanwhile it improves the intelligent property of video surveillance system and saves social resources.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Rongbao Chen AU - Yang Liu AU - Qianlong Wang AU - Honghui Jiang AU - Dawei Tang PY - 2017/11 DA - 2017/11 TI - The Research on the Pre Blocking Scheduling Method for Elevated Road Based on Video BT - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017) PB - Atlantis Press SP - 411 EP - 418 SN - 1951-6851 UR - https://doi.org/10.2991/amms-17.2017.91 DO - 10.2991/amms-17.2017.91 ID - Chen2017/11 ER -