Inevitable collision states for motorcycle-to-car collision scenarios

Giovanni Savino, Federico Giovannini, Michael Fitzharris, Marco Pierini

Research output: Contribution to journalArticleResearchpeer-review

17 Citations (Scopus)

Abstract

This paper presents a method to identify inevitable collision states (ICS) specifically for a motorcycle when interacting with an opponent passenger car in typical traffic scenarios. Previous ICS methods were applied to passenger cars or generic vehicles; however, the peculiarities of motorcycles urge the definition of specific methods for these vehicles. The findings extend the applicability of previous algorithms to include all motorcycle-to-car collisions, irrespective of collision configurations. ICS identification can be adopted as a triggering criterion for more invasive safety systems such as motorcycle autonomous emergency braking (MAEB), which require a last-resort approach in their initial phases of development. In this regard, this paper also presents an evaluation of an idealized MAEB through experiments simulating real-world crashes in a computer-based virtual environment.
Original languageEnglish
Article number7410053
Pages (from-to)2563-2573
Number of pages11
JournalIEEE Transactions on Intelligent Transportation Systems
Volume17
Issue number9
DOIs
Publication statusPublished - 2016

Keywords

  • autonomous emergency braking
  • inevitable collision states
  • Motorcycles
  • safety systems

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