Road Safety: Methods to Predict the Safety Level of a Freeway

Finding road design and accident risk interrelationship, taking driver behavior into account, is the aim of this paper. When drivers cannot understand a road's evolution, a road can be very dangerous, even if all enforceable standards and regulations are respected, since curves may be faced with unsuitable speed and trajectories may be followed which differ from the designed ones. When the driver does not have all the information needed, or skills to manage such information to decide which maneuver to execute, this happens. The probability of car accidents increases through this lack of experience and knowledge, since such lack leads to uneasiness and insecurity. The authors introduce three indices in this study, able to identify freeway risk level. Not only road geometry is considered, but all interrelationships between road environment, vehicle, and man. For trial accuracy verification, some have been conducted along a selected path with an instrumented vehicle, showing a dangerous road segment can be detected by each index, giving road designers information for freeway safety level improvement.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18245463
• Authors:
  • Casolo, F
  • Cinquemani, S
  • Cocetta, M
• Publication Date: 2008-7

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 51-62
• Serial:
  • Advances in Transportation Studies
  • Volume: 15
  • Publisher: University Roma Tre
  • ISSN: 1824-5463
  • Serial URL: http://www.atsinternationaljournal.com/

Subject/Index Terms

• TRT Terms: Behavior; Crash risk forecasting; Driver experience; Drivers; Freeways; Highway design; Highway safety; Knowledge; Mathematical prediction; Probability; Safety
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01111099
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Sep 24 2008 10:38AM