Transportation and Traffic GIS Training Course

Participants can prepare a connected road network suitable for routing and spatial analysis.

• Road centreline attributes for class, direction, lanes, speed and access
• Topology rules detecting gaps, overlaps, dangles and duplicate road segments
• Digitising road links from imagery using consistent capture specifications
• Junction connectivity modelled through nodes, turn restrictions and one-way links
• Conflation methods aligning road data from authoritative and survey sources
• Quality assurance checks for geometry, attributes, connectivity and completeness

Participants can locate transport events and assets consistently along defined routes.

• Linear referencing concepts: measures, calibration points, routes and event tables
• Route creation from road centreline segments and route identifiers
• Calibrating measures with kilometre posts, engineering stations and survey controls
• Point events locating crashes, signs, culverts and traffic counters
• Line events representing pavement condition, speed limits and work zones
• Dynamic segmentation displaying event records without splitting road geometry

Participants can integrate traffic observations from field, sensor and operational sources.

• Traffic count formats: AADT, peak-hour volume, classification and turning movements
• Importing automatic traffic recorder data with timestamps and station identifiers
• Probe vehicle speeds matched to network links and time periods
• Geocoding incident records from addresses, intersections and route references
• Field collection forms for road assets, signs, defects and observations
• Joining sensor, count and survey records through stable location identifiers

Participants can assess traffic data quality and derive time-based performance measures.

• Completeness checks for missing intervals, duplicate records and invalid volumes
• Outlier screening using percentile thresholds, interquartile range and control charts
• Seasonal adjustment factors applied to short-duration traffic counts
• Peak-period profiles derived from hourly volume and speed observations
• Travel-time reliability measured with percentile travel times and buffer index
• Temporal joins linking traffic conditions to weather, incidents and events

Participants can configure network analyses for realistic route and access questions.

• Network datasets built from links, junctions, impedance and restrictions
• Shortest-path routing using distance, travel time or operating cost
• Turn penalties and prohibited movements included in route calculations
• Service areas modelling reachable locations within specified travel-time thresholds
• Closest-facility analysis assigning incidents to response depots or hospitals
• Origin-destination cost matrices comparing many origins and destinations

Participants can measure access to services using road, pedestrian and transit networks.

• General Transit Feed Specification data: stops, trips, calendars and shapes
• Transit stop catchments created with walking-distance network service areas
• Population-weighted accessibility indicators for schools, clinics and employment
• First-mile and last-mile barriers identified from pedestrian network gaps
• Transfer opportunities assessed through route overlap and timetable connections
• Equity comparisons using access measures, deprivation indicators and demographic data

Participants can diagnose corridor performance using traffic, speed and network indicators.

• Level of service concepts from Highway Capacity Manual procedures
• Volume-to-capacity ratios mapped by road segment and analysis period
• Congestion corridors identified from speed reduction and delay measures
• Intersection performance linked to turning movements, controls and queue observations
• Bottleneck locations ranked by recurring delay, duration and affected demand
• Corridor scorecards combining traffic volume, speed, reliability and incidents

Participants can prepare crash data and identify spatially significant safety patterns.

• Crash data modelled with severity, mode, manoeuvre, road and weather attributes
• Location accuracy assessed using confidence codes and positional error records
• Crash rates calculated using exposure, vehicle kilometres and population denominators
• Kernel density estimation revealing concentrations of crashes and casualties
• Getis-Ord Gi* statistics identifying statistically significant crash hotspots
• Network screening methods ranking road segments by expected crash frequency

Participants can prioritise road safety treatments using evidence, risk and implementation criteria.

• Crash modification factors applied to candidate safety countermeasures
• Before-and-after evaluation design using comparison groups and exposure controls
• Systemic safety analysis identifying risk factors beyond recorded crash locations
• Multi-criteria decision analysis ranking treatments by benefit, cost and feasibility
• Benefit-cost ratios calculated from expected crash reductions and treatment costs
• Safety programme maps communicating priorities, treatment types and implementation status

Participants can analyse freight movement patterns, facility access and fleet activity geographically.

• Freight origin-destination flows mapped between production, ports, warehouses and markets
• Truck restrictions represented through height, weight, hazardous-material and time rules
• Vehicle GPS traces cleaned, map-matched and summarised into route patterns
• Facility location screening using demand, access, land constraints and travel costs
• Delivery territories balanced with demand, capacity and travel-time constraints
• Freight corridor conflicts identified near schools, residential areas and crossings

Participants can connect road asset condition with network importance and maintenance priorities.

• Road asset inventories covering pavement, drainage, bridges, signs and guardrails
• Condition ratings linked to route measures and inspection dates
• Pavement condition index mapped by segment, route and administrative area
• Criticality scoring combines traffic, detour length, facility access and asset condition
• Maintenance candidates ranked using deterioration, risk, budget and intervention rules
• Work programmes visualised by location, treatment, cost, schedule and responsible unit

Participants can use imagery and elevation data to support transport network assessment.

• Satellite imagery interpretation for road expansion, access changes and construction progress
• Orthophoto digitising standards for carriageways, shoulders, medians and intersections
• Digital elevation models used to identify slope, drainage and landslide exposure
• Change detection comparing classified imagery from two acquisition dates
• Unmanned aerial imagery applications for corridors, junctions and incident scenes
• Image classification limitations from shadows, occlusion, resolution and seasonality

Participants can assess candidate locations and corridors using transparent spatial criteria.

• Site suitability criteria defined from policy, engineering, environmental and demand requirements
• Constraint mapping excludes protected areas, flood zones and incompatible land uses
• Weighted overlay combines standardised criteria using documented scoring assumptions
• Analytic Hierarchy Process compares criterion importance through pairwise judgments
• Sensitivity analysis tests how alternative weights change ranked locations
• Corridor alternatives compared by access, cost, risk, demand and environmental effects

Participants can communicate transportation findings through clear maps, indicators and technical documentation.

• Map purpose, audience and decision question defined before layout design
• Symbology distinguishes functional road class, traffic intensity and safety severity
• Classification methods selected using distribution, policy thresholds and interpretability
• Scale, labels and annotation managed for corridor and network map readability
• Interactive dashboards combine maps, filters, charts and key performance indicators
• Technical methods notes document assumptions, sources, limitations and reproducible steps

Participants can manage transportation GIS data responsibly and prepare repeatable analytical workflows.

• Data governance roles define stewardship, approval, publication and archival responsibilities
• ISO 19115 metadata elements applied to transportation spatial datasets
• Privacy controls protect vehicle traces, trip records and incident locations
• Open Geospatial Consortium services support interoperable map and feature sharing
• Versioned editing procedures protect authoritative road network and asset records
• Reproducible workflows record inputs, parameters, processing steps and output versions

Participants can build, review and present a complete transportation GIS analysis with defensible recommendations.

• Problem statement defines decision, users, study area and success measures
• Project geodatabase integrates network, demand, event and contextual datasets
• Analytical method selected for routing, safety, access or asset prioritisation
• Quality checks document completeness, positional accuracy, assumptions and limitations
• Decision maps and indicators communicate findings to technical and executive audiences
• Peer review tests evidence, interpretation, recommendations and presentation clarity