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Expressway bottleneck pattern identification using traffic big data—The case of ring roads in Beijing, China
| 题名： | Expressway bottleneck pattern identification using traffic big data—The case of ring roads in Beijing, China |
| 正文语种： | 英文 |
| 作者： | Yanni Yang;Meng Li;Jiaying Yu;Fang He |
| 作者单位： | Tsinghua University |
| 关键词： | Critical speed; data fusion; expressway bottleneck; fundamental diagram; oversaturated state |
| 摘要： | How to efficiently identify traffic bottlenecks in the expressway network and implement targeted measures is an important issue to mitigate traffic congestion. In recent years, with the proliferation of smartphones, smartphone-based navigation applications are receiving the worldwide popularity, which are being treated as an extremely rich source of traffic data. In this paper, we are devoted to proposing a novel approach to investigate traffic state and identify recurrent bottlenecks quickly and accurately from macroscopic network perspective, through fusing the data sources of fixed detectors and mobile navigation apps. First of all, this paper plots flow-speed fun dame ntal diagram to derive critical speed, which is treated as the criterion to determine traffic state. Once the criterion has been established, typical bottle necks in the entire expressway network can be efficiently identified through only utilizing smartphone-based probe speed data. Secondly, three pioneering indicators are put forward to quantify oversaturated traffic state and classify bottle neck patterns on urban expressway network. Applying this methodology, we take Beijing expressway network as a case to ide ntify differe nt patter ns of bottle necRs, which are validated to comply with the reality. Moreover, the relationship between critical speed and the associated road segment features is explored and shows the possibility of predicting the critical speed even without flow data. As an end, some recommendations are proposed for improving different types of traffic bottle necks. |
| 出版日期： | 2020 |
| 出版年： | 2020 |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 卷： | Vol24 |
| 期： | No01-06 |
| 页码： | 54-67 |
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