Traffica UE Analytics
Plugin ID: 4856
Traffica UE Analytics is a QGIS plugin designed to perform indicative traffic flow analysis using spatial network modeling and synthetic origin-destination generation.
The plugin converts road network geometry, population distribution, and point-of-interest (POI) data into a synthetic mobility demand model
and assigns the resulting flows onto the road network using transport assignment algorithms.
The analytical framework integrates gravity-based trip generation, grid-based zoning, and network-based route assignment
to estimate traffic flow patterns where traditional OD survey data is unavailable.
The plugin supports both deterministic All-or-Nothing (AoN) assignment and probabilistic multi-path assignment using a Path-Size Logit (PSL) formulation,
enabling the exploration of route choice variability within urban transport systems.
Optional User Equilibrium (UE) iterations using the Bureau of Public Roads (BPR) congestion function and Method of Successive Averages (MSA)
allow approximate congestion feedback within the synthetic traffic model.
The plugin includes the following main analytical components:
1. Network Preparation – splits road networks at intersections and filters non-vehicular links to build a clean transport graph.
2. Grid-Based Zoning Generator – creates spatial zones within a study boundary to serve as origin and destination units.
3. Synthetic OD Generator – estimates trip flows using a gravity model based on population mass and POI attraction.
4. Traffic Assignment Engine – assigns OD flows to the network using AoN or probabilistic multi-path route choice models.
5. Congestion Simulation – applies BPR travel time functions with optional User Equilibrium iterations.
6. Mobility Output Generator – produces edge flow layers, OD desire lines, and zone-level mobility indicators.
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Traffica UE Analytics provides an integrated spatial analytics framework for exploring urban mobility patterns
using open spatial datasets and network modeling techniques.
The plugin is designed to support transport planners, urban researchers, and spatial analysts
in conducting preliminary traffic flow assessments when detailed mobility survey data is unavailable.
By combining spatial zoning, gravity-based demand modeling, and network assignment algorithms,
the framework enables rapid evaluation of potential traffic corridors, congestion hotspots,
and accessibility relationships within urban regions.
The resulting outputs can support corridor screening, scenario comparison,
infrastructure planning analysis, and urban mobility research within a GIS environment.
