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Tuesday, December 1, 2020 | History

2 edition of Personal characteristics of traffic-accident repeaters found in the catalog.

Personal characteristics of traffic-accident repeaters

New York University. Division of General Education. Center for Safety Education.

Personal characteristics of traffic-accident repeaters

the summary of an investigation conducted by the Center for Safety Education of the Division of General Education at New York Univ. in cooperation with the Commissioners of the Connecticut Dept. of Motor Vehicles and the Michigan State Police.

by New York University. Division of General Education. Center for Safety Education.

  • 64 Want to read
  • 4 Currently reading

Published by Eno foundation for Highway Traffic Control in Saugatuck, Conn .
Written in English

  • Traffic accidents,
  • Automobile drivers

  • Edition Notes

    StatementPrepared under a grant of the Eno Foundation.
    ContributionsConnecticut. Dept. of Motor Vehicles., Michigan State Police.
    LC ClassificationsHE5614 .N53
    The Physical Object
    Pagination64 p.
    Number of Pages64
    ID Numbers
    Open LibraryOL6033838M
    LC Control Number48011864

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Personal characteristics of traffic-accident repeaters by New York University. Division of General Education. Center for Safety Education. Download PDF EPUB FB2

Get this from a library. Personal characteristics of traffic-accident repeaters; the summary of an investigation conducted by the Center for Safety Education of the Division of General Education at New York Univ. in cooperation with the Commissioners of the Connecticut Dept.

of Motor Vehicles and the Michigan State Police. [New York University. PERSONAL CHARACTERISTICS OF TRAFFIC-ACCIDENT REPEATERS. This report investigates what can be discerned concerning the personal factors of drivers that would enable states to improve driver licensing procedures and contribute to highway safety.

Drivers who had been involved in multiple accidents and drivers who were accident-free were compared. Center for Safety Education. Personal characteristics of traffic-accident repeaters (page images at HathiTrust) Annotated bibliography of scientific research in road traffic and safety.

(Los Angeles, University of California, ), by Frank A. Haight (page images at HathiTrust) Physical condition report of commercial drivers involved in accidents. POLICE SCIENCE BOOK REVIEWS ested in the personal characteristics of traffic-accident repeaters.

After reading it one certainly is impressed with the complexities involved, the precautions to be employed in diagnosing a driver's weaknesses or fail-ings, and the.

Personal characteristics of traffic-accident repeaters (page images at HathiTrust) Eno Foundation for Highway Traffic Control: Parking, (Saugatuck, Connecticut, Eno foundation for highway traffic control, ), also by Wilbur S.

Smith (page images at HathiTrust) Eno Foundation for Highway Traffic Control: Parking, (Saugatuck, Conn. Each year, two million new drivers are licensed in the United States. in the number of licensed operators had reach d a grand total of more than 40 million, over three times the number in.

OCLC Number: Notes: An outgrowth of and supplement to Personal characteristics of traffic-accident repeaters: the summary of Personal characteristics of traffic-accident repeaters book investigation conducted by the Center for Safety Education of the Division of General Education at New York University.

Uses of Traffic Accident Records: A Manual. Published Date: Abstract: This Manual is intended to encourage greater use of accident records and the development of additional uses for accident prevention purposes.

Personal Characteristics of Traffic-Accident Repeaters. Published Date: Abstract: Each year, two million new Personal characteristics of traffic-accident repeaters book by: Vol.

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This banner text can have markup. web; books; video; audio; software; images; Toggle navigation. IHSDM Intersection Diagnostic Review Model USE OF ACCIDENT HISTORY DATA TO HIGHLIGHT PARTICULAR INTERSECTION-LEG CONCERNS. Accident history data are used in IDRM to highlight or call special attention to concerns that are accompanied by a related accident pattern, as defined by specific traffic movements.

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