.png){kind=icon}
返回
Real-time traffic estimation using data expansion
.png){kind=icon}
PRE
AI
DOI：10.1016/j.trb.2011.05.024.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a method for estimating missing real-time traffic volumes on a road network using both historical and real-time traffic data. The method was developed to address urban transportation networks where a non-negligible subset of the network links do not have real-time link volumes, and where that data is needed to populate other real-time traffic analytics. Computation is split between an offline calibration and a real-time estimation phase. The offline phase determines link-to-link splitting probabilities for traffic flow propagation that are subsequently used in real-time estimation. The real-time procedure uses current traffic data and is efficient enough to scale to full city-wide deployments. Simulation results on a medium-sized test network demonstrate the accuracy of the method and its robustness to missing data and variability in the data that is available. For traffic demands with a coefficient of variation as high as 40%, and a real-time feed in which as much as 60% of links lack data, we find the percentage root mean square error of link volume estimates ranges from 3.9% to 18.6%. We observe that the use of real-time data can reduce this error by as much as 20%. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Traffic equilibrium
Real-time traffic analytics
Bilevel programming
OD matrix estimation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.3
论文数:
3.5K
被引数:
1.9W
机构
引用论文
Application of automatic vehicle identification technology for real-time journey time estimation.png)
INFORMATION FUSION
INFORMATION FUSIONIF15.5
PREAI
分享收藏
Sensitivity of static traffic user equilibria with perturbations in arc cost function and travel demand具有弧成本函数和出行需求扰动的静态交通用户平衡的敏感性
PREAI
分享收藏
查看更多内容