Can we apply artificial intelligence to traffic camera feeds to give us a deeper understanding of the conditions that lead to traffic accidents?

Department or Agency: Public Works Department, Transportation Department

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Topics

Public SafetyStreets And SidewalksTransportation

Project Overview

Summary

We believe artificial intelligence (AI) on city traffic camera feeds will: (1) provide the City and key stakeholders a better understanding of the issues that lead to traffic accidents; (2) empower stakeholders to plan smarter, safer streets and pedestrian features; and (3) provide sufficient data to replace existing stand-alone roadway data collection efforts to save taxpayer dollars.

This trial established a pilot zone to apply artificial intelligence (AI) to traffic camera feeds, using SwRI’s ActiveVision system, to extract data from a subset of traffic camera video feeds. It extracted vehicle and pedestrian traffic patterns across extended periods of time to build a better solution to address accidents and fatalities.

Deliverables

Relevant data and evidence-based recommendations for making informed programming decisions by the Transportation Department.
Relevant data and evidence-based recommendations to enable the Public Works team to proactively determine the allocation of resources and ensure equitable and targeted infrastructure improvements.
A process for providing sufficient data to replace existing stand-alone roadway data collection efforts to save taxpayer dollars.
Documentation necessary for stakeholders to use relevant Active-Vision user interfaces and to understand the data available from the system.
To view the final report: Click Here

Planned use of results

Stakeholders gain a better understanding of the issues that lead to traffic accidents.
Outcomes empower stakeholders to plan smarter, safer streets and pedestrian features.
Sufficient data available to replace existing stand-alone roadway data collection efforts to save taxpayer dollars.
Vision Zero can use the data from this project to make informed decisions and proactively determine the allocation of resources and ensure equitable and targeted improvements.