A COLLISION MODEL FOR SAFETY EVALUATION OF AUTONOMOUS INTELLIGENT CRUISE CONTROL

This paper describes a general framework for safety evaluation of autonomous intelligent cruise control in rear-end collisions. Using data and specifications from prototype devices, two collision models are developed. One model considers a train of four cars, one of which is equipped with autonomous intelligent cruise control. This model considers the car in front and two cars following the equpped car. In the second model, none of the cars is equipped with the device. Each model can predict the possibility of rear-end collision between cars under various conditions by calculating the remaining distance between cars after the front car brakes. Comparing the two collision models allows one to evaluate the effectiveness of autonomous intelligent cruise control in preventing collisions. The models are then subjected to Monte Carlo simulation to calculate the probability of collision. Based on crash probabilities, an expected value is calculated for the number of cars involved in any collision. It is found that given the model assumptions, while equipping a car with autonomous intelligent cruise control can significantly reduce the probability of the collision with the car ahead, it may adversely affect the situation for the following cars. (A)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
• Corporate Authors:

  Elsevier

  The Boulevard, Langford Lane
  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Touran, A
  • Brackstone, M A
  • McDonald, M
• Publication Date: 1999-9

Language

• English

Media Info

• Features: References;
• Pagination: p. 567-78
• Serial:
  • Accident Analysis & Prevention
  • Volume: 31
  • Issue Number: 5
  • Publisher: Elsevier
  • ISSN: 0001-4575
  • Serial URL: http://www.sciencedirect.com/science/journal/00014575

Subject/Index Terms

• TRT Terms: Automatic control; Automation; Control; Intelligent transportation systems; Rear end crashes; Scale models; Speed; Structural models
• ITRD Terms: 3882: Automatic; 8531: Case study; 3874: Control; 6205: Model (not math); 1620: Rear end collision; 5408: Speed
• Subject Areas: Bridges and other structures; Operations and Traffic Management;

Filing Info

• Accession Number: 00767318
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD, ATRI
• Created Date: Aug 6 1999 12:00AM