Literature DB >> 25180785

Typical pedestrian accident scenarios for the development of autonomous emergency braking test protocols.

James Lenard1, Alexandro Badea-Romero2, Russell Danton3.   

Abstract

An increasing proportion of new vehicles are being fitted with autonomous emergency braking systems. It is difficult for consumers to judge the effectiveness of these safety systems for individual models unless their performance is evaluated through track testing under controlled conditions. This paper aimed to contribute to the development of relevant test conditions by describing typical circumstances of pedestrian accidents. Cluster analysis was applied to two large British databases and both highlighted an urban scenario in daylight and fine weather where a small pedestrian walks across the road, especially from the near kerb, in clear view of a driver who is travelling straight ahead. For each dataset a main test configuration was defined to represent the conditions of the most common accident scenario along with test variations to reflect the characteristics of less common accident scenarios. Some of the variations pertaining to less common accident circumstances or to a minority of casualties in these scenarios were proposed as optional or supplementary test elements for an outstanding performance rating. Many considerations are incorporated into the final design and implementation of an actual testing regime, such as cost and the state of development of technology; only the representation of accident data lay within the scope of this paper. It would be desirable to ascertain the wider representativeness of the results by analysing accident data from other countries in a similar manner.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Accident scenario; Autonomous emergency braking; Cluster analysis; Pedestrian; Test configuration

Mesh:

Year:  2014        PMID: 25180785     DOI: 10.1016/j.aap.2014.08.012

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  Analysis of historical road accident data supporting autonomous vehicle control strategies.

Authors:  Sándor Szénási
Journal:  PeerJ Comput Sci       Date:  2021-02-23
  1 in total

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