CSU Mobility and Energy Improvements

Principal Investigator:
Thomas H. Bradley, Colorado State University

Key Partners

Project Impact/Takeaway:

  • Enable mobility and energy efficiency improvements from a synergistic combination of infrastructure-level and vehicle-level control
  • Deep collaboration with municipalities, NREL and Clean Cities Coalitions to develop novel metrics, technologies, extension case studies, and outreach.
  • Solve real-world transportation problems in local municipalities

Key Deliverables/Accomplishments:

  • Technical demonstration of the mobility energy productivity effects of combined transportation system management and vehicle-level energy management
  • Periodic public data and software released to GitHub on month 6, 12, 18, and 24 of the period of performance
  • Final data publication to DOE SMART Mobility Lab Consortium

This project will address these key issues:

  • The problem of traffic congestion along major transportation corridors of the municipality (College Ave. Fort Collins, Speer Blvd. Denver) and the potential to use TMS and CAVs to improve throughput on these corridors without modification of the physical roadway.
  • The problem of the interface between bus rapid transit (BRT) and traffic at intersections (Mason St. Ft Collins, Colfax Ave. Denver). BRT uses dedicated lanes to skip queues and congestion along major transportation corridors, but BRT must still participate in signalized intersections at cross streets. Enabling prioritization and vehicle-level energy management control of these BRT vehicles is hypothesized to improve metrics of mobility energy productivity.
  • The problem of through-town Class 8 freight truck transport (Shields Ave., Fort Collins, I-70/Colorado Blvd, Denver). Due to the growth of Class 8 truck transport, these municipalities face noise pollution, emissions, human health, and safety considerations due to a high volume of Class 8 trucks moving through town on surface streets. Enabling signal prioritization (which also enables platooning) and vehicle-level energy management control for these high-energy consumption, high emissions vehicles is hypothesized to improve metrics of mobility energy productivity.