What happened
The Florida Department of Transportation funded a University of Florida testbed of Mobileye Shield+, a vision-based driver assistance system. The project installed it on 10 Regional Transit System buses on the university's campus routes in January 2019. The system recorded conflicts without alerting drivers until 4 March 2019. It then gave drivers visual and audible alerts until 29 February 2020. Data from seven buses were analyzed after three malfunctioned. In its final report of October 2020, the University of Florida Transportation Institute found that every warning type fell once alerts began. Pedestrian collision warnings fell by 38.6% across all alert data and by 33.4% for similar dates a year later. For similar dates, the reductions across six warning types averaged 34.17%. In focus groups, most drivers preferred having the system but reported false alerts. Pedestrian exposure varied by semester and could not be measured. The report gives no crash figures for the test and does not describe machine learning.
Sources
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Evaluation report, by an evaluator that the makers or users commissioned.
Agarwal, N., R. Rahmani and J. Masciocchi. University of Florida (UF) Testbed Initiative - Alternative Transportation Safety Systems, Final Report. University of Florida Transportation Institute for the Florida Department of Transportation, contract BDV31-977-99, October 2020.
Overall, data analysis results showed a reduction in transit bus and pedestrian-related conflicts with the installation of ADAS.
Details
AI system
- Workflow
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Two interior and two exterior smart sensor cameras watched the area around each bus. Three displays gave drivers visual and audible alerts. A telematics system logged the time and place of each warning.
Follow-up
- Conditions for replication
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Drivers are trained to know what each alert means. False and missed alerts stay rare enough for drivers to rely on the system.
Entry details
- Sector
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Road safety / transit buses.
- Purpose
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Mobileye built Shield+ to warn bus drivers of pedestrians, cyclists and vehicles that the bus might hit.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, 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). Shield+ alerts cut conflict warnings on Gainesville campus buses (AIBD-0904). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0904.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)