详情

Utilizing Cooperative Automated Transportation (CAT) Data to Enhance Freeway Operational Strategies

项目名称：	Utilizing Cooperative Automated Transportation (CAT) Data to Enhance Freeway Operational Strategies
摘要：	The application of new technologies in transportation operations and management began more than 50 years ago, with the introduction of digital computers. Continuous developments in computer technology, emerging sources of data, and communications have created new opportunities for operational strategies and performance measures to improve freeway network safety and mobility. Traffic management systems (TMS) continue to evolve and are incorporating the collection and use of real-time information from fixed sources (e.g., loop detectors, radar, cameras), mobile sources (e.g., probes, smart phones), other systems (e.g., weather, pavement monitoring), and other sources (e.g., third party providers). AASHTO’s Infrastructure Owner Operators Guiding Principles for Connected Infrastructure Supporting Cooperative Transportation: Supporting Technical Concepts states “Cooperative Automated Transportation (CAT) envisions all stakeholders and elements of the transportation system working together to improve safety, mobility, equity, and operations efficiency through interdependent vehicle, infrastructure, and systems automation enabled by connectivity and information exchange. The concept is intentionally expansive. It looks beyond existing, developing, and planned transportation concepts to a fully integrated system serving travelers, goods, and services.” The emergence of CAT, particularly Connected and Automated Vehicles (CAVs), will provide public agencies with the opportunity to collect, use, and share data among vehicles, infrastructure, and other devices and could transform how agencies actively manage and operate traffic, improving safety and mobility. Agencies will be able to issue advisory, warning, and regulatory messages based on current and projected conditions unique to a specific location (e.g., section of roadway, corridor, geo-fenced area), direction of travel, and possibly specific vehicles. In addition to allowing new operational approaches, these data may reduce the need for fixed sensors that are costly to deploy and maintain. The objective of this research is to assess operational scenarios and use cases where freeway operations strategies could be improved through the transmission of data between a traffic management system (TMS) and the larger cooperative automated transportation (CAT) system (either directly or through a third party). This assessment should (1) spur development of enhanced and new operational strategies and (2) help agencies justify gaining access to additional CAT data.
状态：	Active
资金：	500000
资助组织：	National Cooperative Highway Research Program<==>American Association of State Highway and Transportation Officials (AASHTO)<==>Federal Highway Administration
项目负责人：	Derr, B Ray
执行机构：	Noblis, Incorporated
开始时间：	20210714
预计完成日期：	20230714
主题领域：	Data and Information Technology；Highways；Operations and Traffic Management