Motorcycle Safety and Intelligent Transportation Systems Gap Analysis, Final Report

Flanigan, Erin; Blizzard, Katherine; Rivadeneyra, Aldo; Campbell, Robert · 2018 · ROSA P / United States. Joint Program Office for Intelligent Transportation Systems

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Summary

This report addresses the significant gap in Intelligent Transportation Systems (ITS) research regarding motorcycle safety. While ITS technologies have predominantly targeted automobiles and commercial vehicles, little work has been done to specifically address motorcycles. The study aims to rectify this by surveying ITS technologies with potential relevance to motorcycles, analyzing their current relevance and safety potential, and identifying opportunities to advance the field. The motivation stems from the need to leverage advanced computation, information technology, and communications to improve traffic safety for a vulnerable road user group that has been largely overlooked in ITS development. The project employed a two-pronged methodology conducted between August 2014 and April 2017. First, the team performed a comprehensive literature review of over 2,400 journal articles, news items, and documents across more than 40 categories of ITS. This review identified 17 primary categories, with seven standing out as particularly relevant: adaptive front lighting, advanced driver assistance systems (ADAS), antilock braking systems (ABS), collision warning and avoidance systems, curve speed warning, electronic stability programs, and inter-vehicle communication/detection systems. Second, the team conducted interviews with leading practitioners from manufacturers, public agencies, academia, and industry associations to gain nuanced perspectives on the state of practice. The findings from both the literature review and interviews were synthesized to determine overarching trends, gaps, and recommendations. The analysis revealed several key trends and gaps. Trends include a continuous focus on design improvements tailored to motorcycle characteristics, the use of multi-instrumented vehicles to enhance performance, and a consensus that ITS can significantly improve safety, particularly through the success of ABS. However, significant gaps were identified, including a lack of complete prototype systems for motorcycles, limited assessment of safety benefits for emerging technologies, and insufficient research on rider acceptability. Practitioners highlighted bottlenecks in funding and robust data, noting that existing databases like the Fatality Analysis Reporting System (FARS) lack the detail needed for ITS development. Additionally, there is a lack of research on harmonizing ITS technologies for interoperability and addressing privacy concerns within the motorcycle community. The report concludes with specific recommendations to advance motorcycle ITS. Recommended research areas include synergizing ITS with ABS, improving rider-motorcycle interfaces (human-machine interaction), enhancing motorcycle safety data availability, conducting applied research to assess real-world safety benefits, and harmonizing ITS standards for interoperability. To support these areas, the report recommends strategies such as actively promoting research funding, engaging the motorcycle community to improve design acceptance, embracing upcoming technologies like connected vehicles and big data, and collaborating across all sectors to promote widespread implementation. These steps aim to ensure that future ITS developments are tailored to the unique dynamics and needs of motorcycle riders.

Key finding

Tailored ITS technologies and interoperable connected vehicle systems are identified as critical opportunities to improve motorcycle safety, yet significant gaps remain in prototype development, empirical safety benefit assessments, and rider acceptability research.

Methodology

mixed_methods

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discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 2 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

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