Short-Term Travel Time Prediction Considering the Effects of Weather

被引：33
作者：
Qiao, Wenxin [1 ,2 ]
Haghani, Ali [1 ]
Hamedi, Masoud [1 ]
机构：
[1] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20742 USA
[2] Beijing Jiaotong Univ, Key Lab Urban Transportat Complex Syst Theory & T, Minist Educ, Beijing, Peoples R China
来源：
TRANSPORTATION RESEARCH RECORD | 2012年 / 2308期
关键词：
TRAFFIC FLOW PREDICTION; FRAMEWORK; ALGORITHM; NETWORKS; RAINFALL;
D O I：
10.3141/2308-07
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Reliable travel time prediction enables both road users and system controllers to be well informed about future conditions on roadways so that pretrip plans and traffic control strategies can be made to reduce travel time and relieve traffic congestion. The objective of this research was to use traffic and weather data from multiple data sources to develop an integrated model that could predict travel times under various weather conditions, especially severe weather conditions. Prediction models are compared, and their performance in case studies is investigated.
引用
收藏
页码：61 / 72
页数：12
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