东大交院云论坛曁 “阡陌交通、中西交融”交通工程大师论坛第四讲即将开讲!
本场讲座将由加拿大英属哥伦比亚大学杰出教授Tarek Sayed带来。
Tarek Sayed教授简介:
Tarek Sayed is a distinguished professor and a Tier 1 Canada Research Chair of Transportation Safety and Advanced Mobility at the University of British Columbia. He has a distinguished research track record in transportation engineering and has received a high number of honors and awards. In 2014, he was awarded the Centennial Road Safety Award from the Transportation Association of Canada. This one time award recognizes his outstanding transformational and long-term contributions to road safety over the past 100 years. He is also a Fellow of the Engineering Institute of Canada, the Canadian Academy of Engineering, and the Canadian Society for Civil Engineering and was the editor of the Canadian Journal of Civil Engineering for 8 years.
During his research activities, he has addressed a wide spectrum of transportation system applications with a focus on traffic operation and safety, Intelligent Transportation Systems, and the application of information technologies. He has supervised to completion 85 Master and PhD students mainly in the areas of ITS and proactive safety management . He is the author or co-author of more than 400 journal and conference papers.
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Tarek Sayed
Limitations of crash data and crash-based methods have given rise to the study of alternate measures of safety that are not predicated on the occurrence of a crash such as traffic conflicts. The popularity of these alternative safety measures will likely play a prominent role in road safety analysis in the forthcoming era of connected and autonomous vehicles because of the vast amount of real-time vehicle data that are likely to be available. While traffic conflicts and crashes share the same failure mechanism in the driving process, which allows models of crash frequency and severity to be applied to model conflict frequency and severity, modeling traffic conflicts has new challenges because of their distinct characteristics. This presentation presents conceptual and methodological issues associated with conflict-based crash estimation models. Examples of promising techniques for conflict-based crash estimation using extreme value theory are introduced. These techniques can establish the link between traffic conflicts and crashes, while accounting for many statistical issues such as non-stationarity, unobserved heterogeneity, multi-dimensionality, and small sampling size. These approaches have been validated with actual crash data and several applications are described, including real time crash risk prediction and the real-time optimization of traffic operations.
参会方式
受疫情影响,东大交院云论坛采用ZOOM会议的方式进行。
会议时间:2020/10/14 9:00-10:30
会议 ID:64836759250
会议密码:379559
点击链接直接加入会议:
https://zoom.com.cn/j/64836759250
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