计算机科学
维西姆
网络流量控制
交通拥挤
基于Kerner三相理论的交通拥堵重构
网络拥塞
浮动车数据
实时计算
计算机网络
模拟
运输工程
微模拟
工程类
网络数据包
作者
Xu Wenyu,Guogui Yang,Fuguo Li,Yuanhang Yang
标识
DOI:10.1007/978-3-319-77383-4_95
摘要
Traffic congestion has become a worldwide problem, seriously restricting the performance of transport network. Prediction of traffic congestion levels composes a significant part of traffic management for improving network performance. With respect to congestion level prediction, although there have been many works, only a few are conducted from the view of overall status of the road network. In this paper, in order to achieve congestion level forecasting, a novel methodology is proposed, which is based on treating network status transformation as a video and processing traffic data from the view of video processing technology. By implementing the model, the experiments based on traffic simulator VISSIM obtain high accuracy (above 0.89), proving the effectiveness of the proposed method.
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