Making CAV Deployments Compatible with Complete Streets Objectives for Safe and Efficient Operation Phase II

Details

• Creators:
  Mahmassani, Hani S. ; Hegde, Sharika J. ; Raymer, Meredith ; Khakpour, Amirmohammad
• Corporate Creators:
  Northwestern University Transportation Center ; Center for Connected and Automated Transportation (CCAT)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Autonomous Vehicles Bicycles Complete Streets Conflict Management Connected Vehicles Deployment Equity (Justice) Multimodal Transportation Network Fundamental Diagram Simulation Urban Areas

  More +
• Publication/ Report Number:
  CCAT-NU-2025-5
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report (July 2024 – December 2025)
• Corporate Publisher:
  University of Michigan. Center for Connected and Automated Transportation
• Abstract:
  Urban streets are increasingly complex environments where diverse transportation modes like cars, bicycles, pedestrians, micromobility, and emerging automated vehicles, interact within constrained spaces. Traditional design practices, guided by qualitative policies such as Complete Streets, often lack the quantitative foundation needed to evaluate trade-offs between efficiency, equity, and safety. This research introduces a data-driven framework to address these gaps by integrating macroscopic and microscopic modeling approaches for multimodal street design. The study develops two major tools: a Network Fundamental Diagram (NFD)-based optimization framework and a multi-agent simulation platform. The optimization framework applies a two-step process: first, identifying flow-maximizing network attributes at the aggregate level, and second, allocating these attributes to specific links using a Genetic Algorithm (GA) under multiple ethical objectives, including utilitarian, sufficiency, accessibility gap, and maximin principles. The simulation platform models realistic interactions among vehicles, cyclists, pedestrians, and emerging modes, incorporating stochastic demand and behavioral rules to evaluate safety and efficiency. Conflict characterization combines Time-to-Collision (TTC) and Impact Severity metrics to assess both the likelihood and consequence of interactions, enabling nuanced safety evaluations.
• Format:
  PDF
• Funding:
  69A3551747105
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:1b6d7364dfa0b192f06b5dbee1eb113ffe8262819e7ba7d942d5aabb6153d300e6fb0e857abfe4baaa2ec9bdce592e62a169ea93b330c33c8cd26897152d6fa3
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88442/dot_88442_DS1.pdf
• File Type:
  [PDF - 8.32 MB ]