Use Connected Vehicle Data to Analyze Cross-Border Queuing, Detect Emerging Issues, and Identify Traffic Trends.
Study Analyzed Connected Vehicle Trajectory Data from Multiple US States to Identify Time, Duration, and Severity of Cross-Border Queues.
Illinois, United States
Indiana, United States
Kentucky, United States
Saugatuck
Ohio, United States
Utilizing Connected Vehicle Data to Identify Impacts of Congestion on Adjacent Agencies
Summary Information
Traffic congestion crosses jurisdictional boundaries, and understanding and addressing this congestion is important for regional mobility. This study aimed to use connected vehicle (CV) data to improve agency coordination of congestion monitoring across borders. It looked at 26 border crossings into and from Illinois, Ohio, Kentucky, and Michigan, on eight Indiana interstates (I-94, I-90, I-70, I-69, I-65, I-64, I-275 and I-265), analyzing approximately 260 0.1-mile-long segments over a 12-month period from July 2024 to June 2025. The study developed a scalable process for categorizing interstate segment speeds within half a mile on each side of a border and quantified queuing episodes when 70 percent of speeds across 0.1-mile segments in the test area were below 45 mph.
- Use CV data to analyze cross-border queuing, detect emerging issues, and identify traffic trends. This study demonstrates how connected vehicle (CV) data can be used to continuously monitor congestion at high spatial and temporal resolution across state boundaries, without the need for additional infrastructure integration.
- Ensure that both vehicle trajectory data and underlying GIS networks extend beyond borders. Analyzing traffic data that extends into neighboring jurisdictions (e.g., ~10 miles beyond borders) allows for full visibility of traffic conditions and integrated analysis to understand how external congestion affects local networks and how local congestion propagates outward.
- Conduct analysis over weekly and yearly time periods. Daily analysis is useful, but does not provide a comprehensive picture of transient (e.g., construction) and systemic (e.g., toll booths) congestion.
