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原文传递 Deterministic and Stochastic Freeway Capacity Analysis Based on Weather Conditions
题名: Deterministic and Stochastic Freeway Capacity Analysis Based on Weather Conditions
正文语种: 英文
作者: Seiran Heshami1; Lina Kattan, Ph.D., P.Eng.2; Zhengyi Gong3; Soheila Aalami4
作者单位: 1Ph.D. Candidate, Transportation Engineering, Dept. of Civil Engineering, Schulich School of Engineering, Univ. of Calgary, AB, Canada T2N 1N4. 2Professor, Urban Alliance Professor in Transportation Systems Optimization, Dept. of Civil Engineering, Schulich School of Engineering, Univ. of Calgary, AB, Canada T2N 1N4 (corresponding author). 3Ph.D. Student, Pure Mathematics, Univ. of Minnesota, Minneapolis, MN 55455. 4Ph.D. Candidate, Transportation Engineering, Dept. of Civil Engineering, Schulich School of Engineering, Univ. of Calgary, AB, Canada T2N 1N4.
关键词: Fundamental diagram; Triangular model; Stochastic capacity; Weather condition; Jam density
摘要: In this paper, a fundamental diagram is calibrated for observed traffic data on a freeway segment using triangular regression analysis and the fixed capacity of the freeway is derived. Stochastic capacity analysis is then conducted to investigate the nature of the breakdown phenomenon and its effect on freeway capacity. The Weibull distribution function as a generalized extreme value distribution model is fit to the data. For both deterministic and stochastic capacity analysis, the influence of the weather is evaluated for four types of weather conditions that include clear, rainy, snowy, and low visibility. The statistical analysis results show that weather conditions have a significant effect on both the fixed and stochastic value of freeway capacity. One of the other important findings of this study is that jam density is shown to be significantly affected by weather conditions and needs to be incorporated when developing advanced freeway control and management strategies such as queue detection and management schemes.
出版年: 2019
期刊名称: Journal of Transportation Engineering
卷: 145
期: 5
页码: 1-9
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