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A Stochastic Analysis of Highway Capacity: Empirical Evidence and Implications
| 题名： | A Stochastic Analysis of Highway Capacity: Empirical Evidence and Implications |
| 正文语种： | 英文 |
| 作者： | Shangjia Dong; Alireza Mostafizi; Haizhong Wang; Jia Li |
| 作者单位： | School of Civil and Construction Engineering, Oregon State University; Center for Transportation Research, University of Texas at Austin |
| 关键词： | mean–standard deviation trade-off; ramp metering; space–time ARIMA; stochastic capacity |
| 摘要： | This paper presents a stochastic characterization of highway capacity and explores its implications on ramp metering control at the corridor level. The stochastic variation of highway capacity is captured through a Space–Time Autoregressive Integrated Moving Average (STARIMA) model. It is identified following a Seasonal STARIMA model (0, 0, 23) × (0, 1, 0)2, which indicates that the capacities of adjacent locations are spatially–temporally correlated. Hourly capacity patterns further verify the stochastic nature of highway capacity. The goal of this paper is to study (1) how to take advantage of the extra information, such as capacity variation, and (2) what benefits can be gained from stochastic capacity modeling. The implication of stochastic capacity is investigated through a ramp metering case study. A mean–standard deviation formulation of capacity is proposed to achieve the trade-off between traffic operation efficiency and robustness. Following that, a modified stochastic capacity-constraint ZONE ramp metering scheme embedded cell transmission model algorithm is introduced. The numerical experiment suggests that considering capacity variation information would alleviate the spillback effect and improve throughput. Monte Carlo simulation further supports this argument. This study helps verify and characterize the stochastic nature of capacity, validates the benefits of using capacity variation information, and thus enhances the necessity of implementing stochastic capacity in traffic operation. |
| 出版年： | 2018 |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 卷： | 22 |
| 期： | 4 |
| 页码： | 338-352 |
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