Traffic Congestion Analysis

Traffic Congestion Analysis is the process of identifying, measuring, and diagnosing locations and time periods where transportation demand exceeds available road capacity, causing reduced speeds, increased travel times, and unreliable trip durations. Using data from GPSGPSThe Global Positioning System (GPS) is a satellite-based navigation system operated by the U.S. Space Force that prov... probes, loop detectors, cameras, and connected vehiclesConnected VehiclesConnected Vehicles use wireless communication technologies to exchange data with other vehicles, infrastructure, pede..., analysts map congestion hotspots and quantify performance metrics like travel time index, planning time index, and hours of delay. Congestion is classified as recurring, caused by predictable demand patterns during peak periods, or non-recurring, triggered by incidents, weather, or special events. GISGISGeographic Information Systems (GIS) enable users to analyze and visualize spatial data to uncover patterns, relation...-based visualization of congestion data reveals spatial patterns and temporal trends that guide investment priorities. Cost-benefit analysis translates congestion metrics into economic impacts including wasted fuel, lost productivity, and increased emissions. Applications include metropolitan congestion management programs, corridor improvement studies, and congestion pricing implementation. Transportation agencies use congestion data to prioritize bottleneck relief projects and evaluate demand management strategies. Logistics companies route shipments to avoid predictable congestion. Navigation platforms provide real-time congestion information to drivers, redistributing traffic across alternative routes.