What happened
The New York City Taxi and Limousine Commission, or TLC, ran a two-year trial of safety technology in vehicles from April 2015 to April 2017. Mobileye supplied its aftermarket system for 20 vehicles in a fleet of mostly yellow taxis. A sensor on the windshield watches the road and alerts the driver by sound, a dashboard display and a vibrating seat. The alerts cover drifting from a lane, following too closely and possible collisions with vehicles or pedestrians. Mobileye added a black box so that the TLC could analyze the alerts. In its final report of March 2018, the TLC found that warnings for tailgating fell the most. They fell from 100 per 100 miles in July 2015 to between 20 and 40 per 100 miles from January 2016. Most other alerts fell early and then stayed flat. Crash rates for the vehicles in the trial did not show a clear decline. The TLC judged the results encouraging but inconclusive, partly because its data described vehicles that several drivers may share. The TLC does not mention machine learning.
Sources
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Regulatory document, by authors with no tie to the system.
New York City Taxi and Limousine Commission. Vehicle Safety Technology Final Report. March 2018.
Headway Warning rates—alerts for tailgating—decreased the most over the course of the Pilot, from 100 alerts for each 100 miles traveled (or one alert per mile) in July 2015 to between 20 and 40 alerts per 100 miles starting in January 2016.
The crash rates per participating vehicle did not show a clear decline over the course of the program.
Details
AI system
- Workflow
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A forward-facing sensor on the windshield monitored the road continuously. Drivers got sound and visual alerts and a vibrating seat when they followed too closely or left a lane without signaling. A black box recorded the alerts for the TLC's analysis.
Follow-up
- Conditions for replication
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Drivers must be exposed to the alerts consistently. Fleets may need to use the data to coach drivers for behavior to change.
Entry details
- Sector
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Road safety / for-hire vehicles.
- Purpose
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Mobileye built its aftermarket system to warn drivers of lane departures, close following and possible collisions.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). Tailgating alerts from Mobileye fall in New York taxis (AIBD-0820). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0820.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)