The National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) is a nationwide crash data collection program sponsored by the U.S. Department of Transportation. It is operated by the National Center for Statistics and Analysis (NCSA) of the National Highway Traffic Safety Administration (NHTSA).

The National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) is a nationwide crash data collection program sponsored by the U.S. Department of Transportation. It is operated by the National Center for Statistics and Analysis (NCSA) of the National Highway Traffic Safety Administration (NHTSA).

The National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) is a nationwide crash data collection program sponsored by the U.S. Department of Transportation. It is operated by the National Center for Statistics and Analysis (NCSA) of the National Highway Traffic Safety Administration (NHTSA).

The National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) is a nationwide crash data collection program sponsored by the U.S. Department of Transportation. It is operated by the National Center for Statistics and Analysis (NCSA) of the National Highway Traffic Safety Administration (NHTSA). NASS began data collection in 1979.

The National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) is a nationwide crash data collection program sponsored by the U.S. Department of Transportation. It is operated by the National Center for Statistics and Analysis (NCSA) of the National Highway Traffic Safety Administration (NHTSA). NASS began data collection in 1979.

The National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) is a nationwide crash data collection program sponsored by the U.S. Department of Transportation. It is operated by the National Center for Statistics and Analysis (NCSA) of the National Highway Traffic Safety Administration (NHTSA). NASS began data collection in 1979.

This report summarizes important findings from a literature review on scenario planning processes and a scan of stakeholders. It also presents case studies on innovative, 'next generation' scenario planning efforts.

Over the last several years, research on Advanced Traveler Information Systems (ATIS) customer preferences has been conducted and led to a number of conclusions about desirable features.

This paper presents the results of a study by the United States Department of Transportation Volpe Center to determine the nature and extent of the "data gap" between the needs of private sector Advanced Traveler Information Service (ATIS) providers, and the public sector data they receive. The study was motivated by the perception that such a data gap exists, and the need for a systematic description of this data gap before plans can be made to resolve it.

Historically, highway-railroad grade crossings have represented a major hazard to motorists. The feasibility of vehicle proximity alert system is currently being examined for possible use in priority vehicles to alert operated of an approaching train.