California Intersection Decision Support: A Systems Approach to Achieve Nationally Interoperable Solutions II

James A. Misener, Ching-Yao Chan, Delphine Cody, Susan Dickey, Christopher Nowakowski, Dan Greenhouse, David Ragland, Steven E. Shladover and Joel Vanderwerf

Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley

Abstract: The overall IDS research plan was constructed to realize, in slightly more than three years, the requirements, tradeoffs assessment, and technology investigations necessary to define an IDS. Toward the end of the project we will combine our understanding of the problem definition, IDS technologies and our integration experience with a standard Caltrans intersection (with advanced controller) and design a deployable IDS demonstration that can be field-tested. With the availability of sensing, communication, and computing technologies, IDS systems are promising for the reduction of crashes, fatalities, and injuries on the roadway. Currently, Federal and State governments are partnering with private industries and academia institutions to pursue the deployment of intersection decision support (IDS) and cooperative intersection collision avoidance systems (CICAS), which seek to combine infrastructure-based and vehicle-based functions to provide optimal solutions for roadway users.

Keywords: Engineering; Intersection safety; LTAP/OD; cooperative systems; active safety; crossing path crashes; Infrastructure Consortium (search for similar items in EconPapers)
Date: 2007-01-01
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Citations: View citations in EconPapers (2)

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