Document Type
Article
Publication Date
January 1994
Publication Title
Intelligent Vehicle Highway Systems Journal (IVHS Journal)
First Page
261
Last Page
274
Keywords
vehicle, highway systems
Disciplines
Industrial Engineering | Systems Engineering
Abstract
This paper develops a probabilistic model for analyzing longitudinal collision/safety between an abruptly decelerating vehicle and its immediate follower. The input parameters are the length of the gap between the two vehicles, their common speed prior to the failure, the reaction delay of the following vehicle and a bivariate distribution for the two deceleration rates. The output includes the probability of a collision and the probability distribution of the relative speed at collision time We use this model to compare the safety consequences associated with the platooning and “free-agent” longitudinal-separation rules. We also demonstrate that the free-agent rule implemented with a potential technology of fast and accurate emergency deceleration, under some reasonable conditions, can avoid collisions while offering a high freeway capacity previously thought possible only under the platooning rule. This model has many other applications.
Recommended Citation
Jacob Tsao and Randolph Hall. "A Probabilistic Model for AVCS Longitudinal Collision/Safety Analysis" Intelligent Vehicle Highway Systems Journal (IVHS Journal) (1994): 261-274.
Comments
Copyright © 1994 H.-S.J. Tsao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.