Data Analysis
Reviewed and published by trentmaziarz, July 7, 2026. Discovered and drafted by our automated research pipeline.
MassDOT tested machine learning combined with GIS mapping to build a model that identifies roads with the highest concentrations of serious crashes, known as a High-Injury Network (HIN).
Details
Presented at the 2024 MassDOT Transportation Innovation Conference, this approach applied machine learning alongside geographic information system (GIS) data to develop a High-Injury Network model for traffic safety planning. The HIN model is used to identify road segments where interventions could have the greatest impact on reducing serious injuries and fatalities. The approach represents a shift described at the conference as moving toward 'more predictive and preventative approaches in traffic management.' The extent of operational deployment beyond the conference presentation is not confirmed by available sources.
Products affected
MassDOT traffic safety analysis and planning
Sources & Evidence
Cite this record
Trace Foundation. (2026). Massachusetts Department of Transportation (MassDOT): MassDOT tested machine learning combined with GIS mapping to build a model that identifies roads with the highest concentrations of serious crashes, known as a High-Injury Network (HIN) (data as of 2026-07-07) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/c243eb7f-3541-416d-86de-6a7da4dac1a7. Accessed October 5, 2026.
- Stable link
- https://www.aitrace.org/r/practice/c243eb7f-3541-416d-86de-6a7da4dac1a7
- Data as of
- July 7, 2026
- Last verified
- Not recorded
Other practices by Massachusetts Department of Transportation (MassDOT)
ProductivityMassDOT integrated GitHub Copilot into its internal IT department in summer 2024, giving software developers an AI tool that suggests and completes code as they write it.Data AnalysisMassDOT tested an AI framework developed with UMass Lowell that analyzes aerial photographs to automatically detect and classify crosswalks across the entire state of Massachusetts, identifying approximately 88,000 crosswalks in 2021 imagery.ProductivityMassDOT deployed HEKA (Highway Engineer Knowledge Assistant), an internal AI chatbot that helps highway engineers quickly find answers to questions about project rules, regulations, and design specifications. The tool went live in November 2024 and is used daily by engineers across the Highway Division.
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