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Analysis of Incident-Induced Capacity Reductions for Improved Delay Estimation
| 题名： | Analysis of Incident-Induced Capacity Reductions for Improved Delay Estimation |
| 正文语种： | 英文 |
| 作者： | Amirmasoud Almotahari1; M. Anil Yazici2; Sandeep Mudigonda3; Camille Kamga4 |
| 作者单位： | 1Research Assistant, Dept. of Civil Engineering, Stony Brook Univ.,1208 Computer Science, Stony Brook, NY 11794 (corresponding author). 2Assistant Professor, Dept. of Civil Engineering, Stony Brook Univ.,2425 Computer Science, Stony Brook, NY 11794. 3Research Associate, Region-2 University Transportation Research Center, City College of New York, Marshak Hall-Science Bldg., Suite 910,138th St. and Convent Ave., New York, NY 10031. 4Associate Professor and Director, Region-2 University Transportation Research Center, City College of New York, Marshak Hall-Science Bldg.,Suite 910, 138th St. and Convent Ave., New York, NY 10031. |
| 关键词： | reduct；distribution；literature；conditions；variation；analysis；traffic；apac；delay；table |
| 摘要： | This paper investigates the randomness in incident-induced capacity reductions and discusses the further impacts on delay calculation and modeling. For this purpose, incident and traffic count data sets from four important freeways in California, i.e., I-80, I-280, I-580, and, I-880, dating from February 1 to June 20, 2017, are utilized to analyze the incident capacity reductions. Accordingly, the capacity reduction distributions are identified and compared with the findings from the literature. In addition, the impact of variation in capacity reduction on incident delay is derived analytically for a deterministic queuing model. Through further analysis of the data, it is shown that capacity reduction values vary with respect to traffic conditions (e.g., volume). Accordingly, it is discussed that capacity reduction tables that do not incorporate traffic flow conditions and variance may provide incorrect estimations of delay. Considering the widely used capacity reduction tables for delay calculation, a regression tree approach is utilized to provide similar tables that provide traffic-dependent capacity reduction and variance for practitioner use. |
| 出版年： | 2019 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 145 |
| 期： | 2 |
| 页码： | 1-10 |
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