NCHRP 17-100 [Active] Leveraging Artificial Intelligence and Big Data to Enhance Safety Analysis

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External Link: https://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=5087
Resource Summary: The need to improve road safety performance for all road users is clear, particularly for vulnerable road users (such as pedestrians and cyclists), and users of micro-mobility services (such as e-scooters). The optimization of investment by local and state agencies to maximize lives saved and injuries reduced takes on even greater importance when financial resources are constrained. This research will investigate the use of artificial intelligence (AI), machine learning (ML) and Big Data (BD) to provide the information needed to power safety analysis tools and other systemic safety tools.

Change Forces
  • Customer Focus
  • Data Collection
  • Funding Instability and Uncertainty
  • Legislation, Regulation, and Funding
  • Public Expectations
  • Technology Advancement
  • Workforce Evolution
  • Workforce Transitions
Needs
  • Agility and Resilience
  • Efficiency and Decision Support
  • New Technologies
  • Records and Information Management
  • Technology Adoption
Strategies
  • Technologies
  • Information and Data Management
  • IT Strategic Planning
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