原文传递
Modeling Framework to Identify an Affected Area for Developing Traffic Management Strategies
| 题名： | Modeling Framework to Identify an Affected Area for Developing Traffic Management Strategies |
| 其他题名： | Ardekani,S.A.,A.M.Kazmi,and M.S.Ahmadi.1997."A PC-based decision tool for roadway incident management."In Proc.,Traffic Congestion and Traffic Safety in the 21st Century Conf.Reston,VA:ASCE. |
| 正文语种： | 英文 |
| 作者： | Arezoo Memarian |
| 关键词： | framework；traffic；prediction；network；management；models；modeling；present；strategies；congestion |
| 摘要： | When a traffic incident occurs, congestion starts to disseminate around the incident location. Considering a suitable area to assess the impact of incidents and develop traffic network prediction models for evaluating traffic management schemes remains a challenging question. This study aims at developing a modeling framework to identify an affected area around the incident. For this purpose, linear regression models are presented to predict the maximum distance from a closed link to a link with a specified expected increase in travel time. Nine different models are presented to investigate the effects of the network topology and demand on the size of the affected area around the disruption. The models demonstrate that traffic volume on the closed link, a link's area type, and the travel time on the first and second alternate paths with lowest travel times predict the radius of the affected area. This study will help traffic network managers reduce the complexity of their models by allowing them to use a subnetwork instead of the entire network. |
| 出版年： | 2018 |
| 论文唯一标识： | P-72Y2018V144N10002 |
| 英文栏目名称： | TECHNICAL PAPERS |
| doi： | 10.1061/JTEPBS.0000182 |
| 期刊名称： | Journal of Transportation Engineering |
| 拼音刊名(出版物代码)： | P-72 |
| 卷： | 144 |
| 期： | 10 |
| 页码： | 1-8 |
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