摘要: |
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 |