In a recent study directed by the Federal Highway Administration, congestion identification was one of the primary areas of emphasis. Some of the researchers developed innovations to account for visibility and weather effects on traffic congestion. Other researchers prepared models that filter out congestion caused by traffic signals, to better identify congestion caused by neighboring vehicles. FHWA developed software to identify congestion using new performance measures. The software development effort involved a congestion and bottleneck identification (CBI) tool, containing both numeric and graphical performance measures. The CBI tool was designed to compare and rank traffic bottlenecks in greater detail than existing methods.
State department of transportation administrators, traffic operations engineers, traffic planners, and researchers.
- Gene McHale, Office of Operations R&D, email@example.com
- 5MB hard disk space; Microsoft® Windows® operating system, versions 7, 8 or 10.
- Required browser version: Microsoft Internet Explorer® browser version 10 or above for optional Google Maps feature.