Framework for Managing Data from Emerging Transportation Technologies to Support Decisi... - 0 views
-
MiamiOH OARS on 06 Dec 17To 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: · CV Pilot Deployment Program, · The Smart City Challenge, · 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.