Assessing the Safety, Mobility, and Environmental Benefits of Connected Infrastructure Deployment in Kansas

The U.S. Department of Transportation (USDOT) reports a total of 170 (planned and operational) connected vehicle deployment sites across the nation. The Kansas statewide Connected and Automated Vehicle (CAV) implementation plan underscores the safety, mobility, environmental, and economic benefits as a potential outcome of the CAV infrastructure investments. The insights from existing studies, including Tampa-Hillsborough Expressway Authority (THEA) and New York City, indicate that the expected benefits can vary depending on the adoption, infrastructure readiness, and types of applications. As a complement to the ongoing Kansas statewide CAV implementation efforts, the research team proposes to evaluate the benefits of connected vehicle (CV) applications near the two interchanges along the I-35 corridor in Merriam, KS. The team will focus on safety (Red Light Violation Warning, Intersection Movement Assist, Left Turn Assist, Pedestrian in Signalized Crosswalk Warning), mobility (Intelligent Traffic Signal System, Dynamic Speed Harmonization, Queue Warning, Emergency Vehicle Preemption, Transit Signal Priority, Mobile Accessible Pedestrian Signal System), and environment/emissions (Eco-Approach and Departure at Signalized Intersections, Eco-Lane Management, and Connected Eco-Driving). The research team will coordinate with a technical advisory committee to select the applications of interests specific to the I-35 Interchange corridor and the private/industry stakeholders—auto manufacturers and roadside unit (RSU) vendors. The team aims to: (1) Develop a guideline of potential CV applications accounting for the transportation network of interests and infrastructure readiness — RSU and communications. (2) Implement the CV applications within a simulation platform in a calibrated real-world network (I-35 near Merriam, KS). (3) Evaluate the benefits of CV applications: safety (red-running occurrences), mobility (travel time, delay, stops, travel time reliability), and environment (fuel consumption, PM2.5, Ozone, and other criteria pollutants defined by the US Environmental Protection Agency). Recently The team has built the (not-calibrated) network simulation in Merriam, KS, using the data shared by the Mid-America Regional Council (MARC). A video of the simulation can be found at: https://www.youtube.com/watch?v=XPCZspMmjmM

Language

• English

Project

• Status: Active
• Funding: $70493
• Contract Numbers:

  KSU-23-4

  RE-0861-01

  C2206

• Sponsor Organizations:

  Kansas Department of Transportation

  Eisenhower State Office Building
  700 SW Harrison Street
  Topeka, KS  United States  66603-3754
• Performing Organizations:

  Kansas State University Transportation Center

  Kansas State University
  Department of Civil Engineering
  Manhattan, KS  United States  66506
• Principal Investigators:

  Aziz, Husain

• Start Date: 20220901
• Expected Completion Date: 20240831
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Benefits; Connected vehicles; Ecodriving; Forecasting; Implementation; Mobility; Pollutants; Traffic safety
• Geographic Terms: Kansas
• Subject Areas: Data and Information Technology; Environment; Highways; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01860653
• Record Type: Research project
• Source Agency: Kansas Department of Transportation
• Contract Numbers: KSU-23-4, RE-0861-01, C2206
• Files: RIP, STATEDOT
• Created Date: Oct 6 2022 2:41PM