Evaluating the Associations between Forward Collision Warning Severity and Driving Context
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safety-08-00005.pdf
Size
3.53 MB
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Unknown
Checksum (MD5)
b2f50f57459de9a9eca4cb4f5a9d3150
Author(s)
Seaman, Sean
Gershon, Pnina
Angell, Linda
Mehler, Bruce
Reimer, Bryan
Date Issued
January 2022
Journal
Safety
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Safety 8 (1): 5 (2022)
Version
Final published version
Abstract
Forward collision warning (FCW) systems typically employ forward sensing technologies to identify possible forward collisions and provide an alert to the driver in the event they have not recognized a threat. These systems have demonstrated safety benefits. However, because the base rate of collisions is low, sensitive FCW systems can provide a high rate of alarms in situations with no or low probability of collision, which may negatively impact driver responsiveness and satisfaction. We examined over 2000 naturally occurring FCWs in two modern vehicles as a part of a naturalistic driving study investigation into advanced vehicle technologies. Analysts used cabin and forward camera footage, as well as environmental characteristics, to judge the likelihood of a crash during each alert, which were used to model the likelihood of an alert representing a possible collision. Only nine FCWs were considered “crash possible and imminent”. Road-type, speed, traffic density, and deceleration profiles distinguished between alert severity. Modeling outcomes provide clues for reducing nuisance and false alerts, and the method of using subjective video annotation combined with vehicle kinematics shows promise for investigating FCW alerts in the real world.
MIT Department
Massachusetts Institute of Technology. Center for Transportation & Logistics
AgeLab (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/safety8010005
