This research presents a quantitative framework to help agencies evaluate trade-offs between safety, efficiency, and equity when redesigning urban streets for multimodal operations and connected/automated vehicle (CAV) integration. The study introduces two complementary tools: a Network Fundamental Diagram (NFD)-based optimization model for system-level performance planning and a multi-agent simulation platform that evaluates real-world interactions among vehicles, pedestrians, cyclists, micromobility, and emerging modes.

Practitioners will gain insight into how to move beyond qualitative Complete Streets guidance by applying measurable objectives—including accessibility gaps, sufficiency thresholds, and maximin equity principles—to corridor and network design. The framework also incorporates advanced safety metrics (e.g., Time-to-Collision and impact severity) to evaluate both conflict likelihood and consequence. Case studies demonstrate how agencies can transparently compare design alternatives and make evidence-based decisions when trade-offs are unavoidable.

Alternative URLs for accessing the report:

https://figshare.com/articles/preprint/Making_CAV_Deployments_Compatible_with_Complete_Streets_Objectives_for_Safe_and_Efficient_Operation_Phase_II/31021405?file=60862168

https://www.dropbox.com/scl/fi/i5ozwm8a4tlje16u6hwjq/Making-CAV-Deployments-Compatible-with-Complete-Streets-Objectives-for-Safe-and-Efficient-Operation-Phase-II-Final-Report.pdf?rlkey=yajzaiq1q36osh1zkiclhv69w&e=1&st=8ofgbte4&dl=0

Resource Types: Research Report
Capabilities: Data & Information Systems, Tools & Technology
Management Processes: Performance Based Planning & Programming, Performance Reporting & Communication