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Better Reporting of Bicycle Movements Prior to Crash


Understanding the crash patterns prior to crash can help the safety agencies to come up with effective measures for preventing them. Safety analysts rely on the crash narratives to identify the crash patterns prior to crash and develop the diagrams (e.g. collision diagrams) that describe the sequence of events leading to crash. For this task the analysts mostly rely on the police reports detailing each crash. The crash narratives can be very helpful tool for reporting the crashes involving motor vehicles. However the narratives do not always record the movements of bicyclists or pedestrians in as much details as the motor vehicles. Some bicycle countermeasure selection tools such as PBCAT rely on the crash patterns prior to the incident. The inconsistent reporting of the bicycle crashes can result in the biased assessment of the sites and affect the effective countermeasure selection decision in the future.


The objective of the proposed study is to come up with the methods of improving the existing crash narratives for better reporting of the bicycle movements prior to crash.


Providing a recommendation for reporting of the crash patterns to help to identify the effective countermeasures in the future.


The agency shall propose the efficient approach to tackle the problem statement described in this RNS. The proposers are expected to conduct the following tasks at the least:

1) Review of Literature and Practices:

a. Conduct the critical review of the existing literature and technical reports to identify the proposed solutions for improving the bicycle crash reporting.

b. Review and identify the noteworthy practices implemented by the state police agencies.

2) Bicycle Crash Data Collection. Collect the bicycle crash data by using the instrumented bicycles and/or crash simulator. The performing agency can also construct the mock-up sites for conducting the experiments to identify the sequence of events leading to bicycle crashes. In this task the performing agency is expected to identify the most influential crash contributing factors and sequence of events leading to the bicycle crashes.

3) Analysis and Recommendations. Develop the guidelines and recommendations for the agencies to incorporate the list of the noteworthy practices and identified event sequence in the crash narration process.

4) Develop the draft and final report that will document:

a. List of the noteworthy practices implemented by the states.

b. Results of the real-life or simulated experiments describing the sequence of events leading to the crashes, and list of the most influential contributing factors.

c. Guidelines and recommendations.

Sponsoring Committee:ACH20, Bicycle Transportation
Research Period:12 - 24 months
Research Priority:High
RNS Developer:Bahar Dadashova, Krista Nordback and Rebecca Sanders
Source Info:Committee members: Bahar Dadashova, Krista Nordback and Rebecca Sanders
Date Posted:05/24/2018
Date Modified:12/04/2018
Index Terms:Crash reports, Crash patterns, Bicycle crashes, Cyclists, Data quality, Data collection,
Cosponsoring Committees:ACS20, Safety Performance and Analysis
Pedestrians and Bicyclists
Data and Information Technology
Safety and Human Factors

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