Potential application of the NHTSA-Honda-DRI ACAT

Van Auken, R. Michael; Lenkeit, John; Smith, Terry

Affiliations

¹Dynamic Research Inc., United States of America

Abstract

Research Question/Objective: Advanced Driver Assistance Systems (ADASs) such as Forward Collision Warning (FCW) and Automatic Emergency Braking (AEB) have been developed for light passenger vehicles (LPVs) to avoid and mitigate collisions with other road users and objects. These frontal crash avoidance and mitigation countermeasures have contributed to the reduction in the number of real-world traffic crashes, injuries, and fatalities involving LPVs. However, despite this success, the number of crashes, injuries, and fatalities in the US involving motorcycles has remained relatively constant. As a result, the relative percentage of US traffic fatalities involving a motorcycle has increased from 11% in 2006 to 14% in 2015 (Source: NHTSA 2015 Traffic Safety Facts). Therefore, there is a need for passenger vehicle FCW and AEB systems to also be effective in avoiding collisions with motorcycles. This paper describes the potential application of the Honda-DRI ACAT Safety Impact Methodology (SIM) to the evaluation of passenger vehicle FCW and AEB system effectiveness in avoiding and mitigating collisions with motorcycles, in order to further the objective of improving motorcycle safety and overall traffic safety.

Methods and Data Sources: Extensions to the NHTSA-Honda-DRI ACAT SIM needed to evaluate the effectiveness of LPV FCW and AEB systems in avoiding or mitigating collisions with motorcycles are identified. Potential extensions to the Crash Scenario Database Development Tools (SIM Module 1) to create passenger vehicle pre-crash/crash scenarios involving a motorcycle include a new Automated Motorcycle Accident Reconstruction Tool (AMART) and supporting data sources (e.g., NASS/CDS and MCCS). Potential extensions to the Crash Sequence Simulation Module (SIM Module 3) to simulate the passenger vehicle pre-crash/crash scenarios involving a motorcycle include a refined subject vehicle driver model and supporting data (e.g., driving simulator data) to model the driver glance and control response behavior specific to motorcycle conflicts, refined sensor models for the FCW and AEB systems, a passenger vehicle versus motorcycle collision model, and a motorcyclist equivalent life unit (ELU) injury model. This could also involve the development and refinement of motorcycle specific track tests for the FCW and AEB systems.

Results: Anticipated results of the extended ACAT SIM tool would include the estimated effectiveness and benefits of the LPV FCW and AEB systems in avoiding and mitigating passenger vehicle crashes involving motorcycles.

Discussion and Limitations: The results of the extended ACAT SIM tool would be based on various assumptions, approximations, and limitations that are summarized herein and further documented in the supporting references, such as the representativeness and accuracy of the supporting data and reconstructed accident pre-crash scenarios.

Conclusion and Relevance to session submitted: The proposed extensions to the ACAT SIM methodology to evaluate passenger vehicle-motorcycle safety would provide a valuable tool to help assess the effectiveness and benefits of LPV FCW and AEB systems in avoiding and mitigating LPV crashes involving motorcycles. This would help to further the objective of improving motorcycle safety and overall traffic safety.

The methods used are directly relevant to the test and evaluation procedures to assess the safety benefits and effectiveness of advanced driver assistance technologies.

Links

URL: http://indexsmart.mirasmart.com/25esv/PDFfiles/25ESV-000179.pdf

Cited Works (6)

Year	Entry
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Cited By (1)

Year

Entry

2019

Van Auken RM, Lenkeit J, Smith T, Kebschull S. Passenger vehicle-powered two wheeler pre-crash trajectory reconstruction and conflict analysis results for real-world crashes in the EU and US and its application to advanced crash avoidance technologies. In: Proceedings of the 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 10-13, 2019; Eindhoven, Netherlands.