详情

Framework for Managing Data from Emerging Transportation Technologies to Support Decision-Making

项目名称：	Framework for Managing Data from Emerging Transportation Technologies to Support Decision-Making
摘要：	The expanding deployment of emerging transportation technologies, including connected vehicles (CVs), automated vehicles (AVs), shared mobility, mobility on demand, and activities associated with smart cities and communities, has increased the need and demand for improved management of associated data. While existing transportation databases have sometimes been curated and analyzed for specific project purposes, improved collaboration is needed to inform state and local agencies of lessons learned and best practices, which often produce �big data� at magnitudes not previously seen. To demonstrate and build on these emerging technologies, a wide range of institutions, both public and private, have initiated and invested in major pilot programs. These efforts are also supported by U.S. DOT through several federal initiatives such as the following: (1) CV Pilot Deployment Program, (2) The Smart City Challenge, and (3) The Advanced Transportation and Congestion Management Technologies Deployment Program of FHWA. As these efforts continue to expand, the amount and quality of data surrounding the application of emerging technologies is also expanding. In response, an improved collaborative approach to data analytics has the potential to improve our ability to address transportation planning and policy questions critical to informed and effective decision-making at state and local public agencies. State and local transportation agencies are eager to learn from the experiences of early adopters of changing and emerging transportation technologies. Formulating a framework that establishes specific procedures for identifying, collecting, aggregating, analyzing, and disseminating data should significantly contribute to effective transportation decision-making. The objectives of this research are the following: (1) To develop a framework for identifying, collecting, aggregating, analyzing, and disseminating data from emerging public and private transportation technologies. This framework will address, at a minimum, data from CV/AV deployments as well as other data linked to smart city and related transportation initiatives. (2) To outline a process for using this framework to help decision-makers incorporate data from emerging technologies into transportation planning and policy.
状态：	Active
资金：	400000
资助组织：	Federal Highway Administration
项目负责人：	Goldstein, Lawrence D
执行机构：	AEM Transportation
主要研究人员：	Pecheux, Kelley
开始时间：	20180424
预计完成日期：	20191108
实际结束时间：	0