Road and Highway GIS Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Highway Engineers, Road Asset Managers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-GRS-166

Before you join: Participants should be comfortable using desktop software, managing files and interpreting basic maps, coordinates and attribute tables.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Road and highway agencies, concessionaires, contractors and consulting engineers depend on accurate spatial data to plan corridors, manage assets, coordinate works and report network condition. Yet road information is often split between drawings, spreadsheets, survey files, maintenance systems and imagery. This creates duplicate records, uncertain asset locations, weak chainage references and delayed decisions on maintenance, safety and capital works. A well-designed road GIS provides a common spatial reference for the network and connects route, asset, condition, traffic and project data.

This course develops the technical and operational skills required to build, maintain and analyse road and highway GIS data. Participants create route-based network datasets, establish linear referencing measures, capture road assets, prepare field data collection forms, georeference engineering records and analyse pavement, drainage, safety and maintenance information. They apply GIS methods to corridor planning, right-of-way mapping, work-zone coordination, accessibility analysis and prioritisation of network interventions. The course also addresses data quality, metadata, map production, web publishing and integration with asset-management processes.

Teaching combines short technical briefings with guided software demonstrations, sector cases, group assignments and individual GIS production work. Cases reflect highway maintenance programmes, road safety programmes, urban corridor upgrades and rural access networks. Participants progressively build a road GIS project during the course and leave with a documented road-network geodatabase, asset schema, analysis outputs, map products and an implementation plan suitable for adaptation to their own organisation.

The course suits professionals who already work with spatial, engineering, survey, transport or asset data and need to apply GIS directly to road and highway programmes. It is particularly relevant where agencies are improving maintenance planning, digitising asset inventories, preparing capital works pipelines or establishing shared road-information services.

What you will be able to do

  • Build a route-based road network geodatabase using documented feature classes and domains
  • Apply linear referencing methods to locate assets, incidents and works by chainage
  • Design road asset data models for carriageways, pavements, drainage and roadside furniture
  • Prepare field data collection workflows with coded forms, validation rules and GPS capture
  • Analyse road condition, safety, traffic and accessibility data to support intervention priorities
  • Produce corridor, asset and maintenance maps using professional cartographic design standards
  • Assess spatial data quality using positional accuracy, completeness, consistency and metadata checks
  • Present a complete road GIS implementation package for a defined highway programme

Benefits of attending

For you

  • Produce route-referenced road asset inventories suitable for maintenance and capital programmes
  • Diagnose chainage, geometry and asset-location errors before they affect reports
  • Create defensible maps for road condition, safety, work zones and right-of-way issues
  • Translate engineering, survey and inspection records into usable GIS data structures
  • Build a portfolio-ready road GIS project with documented assumptions and outputs

For your organisation

  • Creates a consistent spatial reference for road assets, defects, projects and inspections
  • Reduces duplicate asset records and uncertain locations across engineering and maintenance teams
  • Improves maintenance prioritisation through mapped condition, risk and accessibility evidence
  • Supports faster responses to road defects, incidents and work-zone coordination requirements
  • Provides reusable data standards, field forms and governance controls for road GIS deployment

Course modules

20 modules over 10 days

Participants can define the purpose, users, datasets and spatial reference structure for a road GIS.

  • Road GIS functions supporting planning, maintenance, safety and capital works
  • Stakeholder information requirements mapped to road-network GIS products
  • Coordinate reference systems, datums and projected coordinate system selection
  • Route, carriageway, lane and asset spatial representations compared
  • Authoritative datasets, custodianship roles and update-cycle definitions
  • Data lifecycle from survey capture through publication and archival

Participants can create a clean road centreline dataset and structured route network.

  • Road centreline feature classes built from survey, design and imagery sources
  • Topology rules preventing gaps, overlaps, dangles and duplicate road segments
  • Digitising standards for junctions, ramps, service roads and roundabouts
  • Route identifiers structured by road class, jurisdiction and direction
  • Segmenting long roads at intersections, administrative boundaries and changes
  • Geometry validation using snapping tolerances and visual quality review

Participants can locate and manage road events using route measures and chainage.

  • Linear referencing concepts: routes, measures, calibration points and events
  • Chainage measures created from surveyed kilometre posts and alignment records
  • Dynamic segmentation for pavement sections, defects and maintenance activities
  • Point events located for signs, crashes, culverts and inspection observations
  • Route calibration methods resolving chainage discrepancies after realignment
  • Measure-direction rules for divided carriageways and dual-route sections

Participants can design structured GIS data models for major highway asset classes.

  • Asset hierarchy linking network, route, section, component and subcomponent
  • Feature classes designed for pavements, bridges, culverts and drainage
  • Domains and subtypes controlling asset classifications and inspection values
  • Unique asset identifiers aligned with maintenance-management system records
  • Relationship classes linking assets, inspections, defects and work orders
  • Schema documentation defining fields, units, codes and mandatory attributes

Participants can prepare controlled field workflows for road asset and condition surveys.

  • Field survey specifications defining accuracy, attributes, photographs and evidence
  • Mobile GIS forms configured with domains, defaults and required fields
  • Global Navigation Satellite System accuracy recorded for each observation
  • Photo naming conventions linking images to asset and inspection identifiers
  • Offline map areas prepared for remote highway survey locations
  • Field validation rules preventing incomplete, inconsistent and duplicate records

Participants can use imagery and elevation data to update road features and assess corridors.

  • Orthophoto interpretation for carriageway edges, shoulders, drains and structures
  • Satellite imagery selection using spatial, spectral and temporal resolution
  • Digital elevation models used for slope, drainage and visibility assessment
  • Image georeferencing using ground control points and residual error checks
  • Change detection comparing construction-stage imagery with baseline road mapping
  • Unmanned aerial vehicle imagery limitations, permissions and quality controls

Participants can integrate pavement condition records with route-referenced GIS data.

  • Pavement condition indicators including IRI, rutting, cracking and skid resistance
  • Condition survey tables joined to route sections using stable identifiers
  • Class-break methods applied to condition ratings and treatment thresholds
  • Thematic maps distinguishing routine, periodic and rehabilitation maintenance needs
  • Time-series condition records structured for deterioration trend analysis
  • Inspection-date controls identifying stale condition observations and missing coverage

Participants can map and analyse drainage, structure and roadside asset information.

  • Culvert inventories recording dimensions, material, condition and flow direction
  • Drainage networks traced from inlets through channels and outfalls
  • Bridge asset layers linked to inspection, restriction and clearance records
  • Guardrails, signs, lighting and barriers captured with standard classifications
  • Asset condition symbology communicating urgency without obscuring road geometry
  • Spatial queries identifying uninspected assets within priority maintenance sections

Participants can identify crash patterns and map road-safety risk locations.

  • Crash records geocoded using coordinates, intersections and chainage references
  • Kernel density estimation identifying crash concentration areas along corridors
  • Severity-weighted crash indices calculated for route and segment comparisons
  • Spatial joins connecting crashes with speed, geometry and roadside assets
  • Black spot screening using exposure, crash frequency and severity criteria
  • Before-and-after analysis principles for safety treatment evaluation

Participants can perform network-based analysis for accessibility and road service planning.

  • Network datasets constructed from connected road centreline and impedance attributes
  • Travel-time impedance calculated from speed, surface and seasonal restrictions
  • Origin-destination matrices measuring access to markets, schools and hospitals
  • Service areas delineated for maintenance depots, emergency response and logistics
  • Traffic count locations mapped with annual average daily traffic attributes
  • Restriction modelling for bridges, weight limits, closures and work zones

Participants can prepare spatial evidence for corridor studies and right-of-way management.

  • Alignment alternatives compared using terrain, settlement and environmental constraints
  • Buffer analysis identifying properties affected by proposed road corridors
  • Right-of-way polygons linked to parcel, acquisition and compensation records
  • Crossing inventories mapping utilities, railways, waterways and pedestrian routes
  • Constraint maps combining protected areas, flood zones and sensitive receptors
  • Corridor map books prepared with chainage, ownership and design references

Participants can create transparent spatial priorities for road maintenance interventions.

  • Multi-criteria decision analysis combining condition, traffic, risk and accessibility
  • Weighted overlay methods documenting criteria, scores and weighting assumptions
  • Treatment candidates ranked by pavement condition and network importance
  • Maintenance sections dissolved from adjacent segments sharing priority classes
  • Budget scenarios compared using mapped intervention costs and service outcomes
  • Priority maps reviewed against engineering judgement and field intelligence

Participants can manage construction and maintenance project information within a road GIS.

  • Project footprints mapped with contract limits, chainage and work packages
  • Work-zone layers recording closures, diversions, dates and traffic impacts
  • Construction progress tracked through dated imagery, inspections and milestones
  • Utility conflict records spatially linked to proposed works and crossings
  • Temporary traffic-management plans referenced to route sections and junctions
  • Project dashboards specified for progress, risks, quantities and location status

Participants can evaluate and document the quality of road GIS data before use.

  • Positional accuracy assessed against survey control and authoritative basemaps
  • Completeness checks comparing expected asset populations with captured records
  • Logical consistency tests applied to topology, domains and relationships
  • Attribute accuracy sampled against inspection forms, drawings and photographs
  • Data-quality reports documenting errors, thresholds, corrective actions and residual risks
  • Acceptance criteria defined for contractor-delivered road GIS datasets

Participants can establish governance documentation for maintained road GIS datasets.

  • ISO 19115 metadata elements recorded for road spatial datasets
  • Data dictionaries maintained for route codes, asset classes and condition ratings
  • Custodianship matrices assigning creation, review, approval and publication responsibilities
  • Version-control procedures managing edits, corrections and historical asset records
  • Data-sharing agreements defining access levels, restrictions and release conditions
  • Governance indicators tracking completeness, update timeliness and data-quality exceptions

Participants can produce readable, decision-focused maps for highway operations and reporting.

  • Scale selection matched to network maps, corridor plans and asset sheets
  • Road symbology designed for hierarchy, direction, surface and operational status
  • Label placement rules protecting legibility at junctions and dense settlements
  • Map layouts incorporating coordinate grids, chainage, legends and source notes
  • Atlas workflows generating route-section map books from indexed features
  • Accessibility checks for colour palettes, text sizes and print reproduction

Participants can plan web-based publication of controlled road GIS information products.

  • Web map layers configured for roads, assets, projects and inspection status
  • Scale-dependent visibility reducing clutter across national and local network views
  • Pop-ups designed with essential asset attributes, photographs and work history
  • Role-based access models separating public, contractor and internal information
  • Operational dashboards specified for defects, closures, inspections and programme progress
  • Web publishing review covering performance, update ownership and information security

Participants can plan integration between road GIS, asset systems and engineering records.

  • Relational database principles applied to road assets and inspection histories
  • PostGIS tables structured for spatial indexing, constraints and controlled updates
  • Asset-management interfaces mapped between GIS, work orders and condition systems
  • ETL workflows documented for survey files, spreadsheets and contractor submissions
  • Application programming interface requirements defined for route and asset lookups
  • Reconciliation procedures resolving identifier conflicts between connected systems

Participants can prepare a phased implementation plan for a road GIS service.

  • Business requirements translated into datasets, workflows, roles and map products
  • Data-gap assessment prioritising missing road geometry, assets and condition records
  • Implementation phases sequenced from pilot corridor through network-scale deployment
  • Resource plans covering staff, hardware, licences, field devices and support
  • Risk registers addressing data quality, adoption, procurement and system dependencies
  • Performance measures defined for data coverage, update cycles and user uptake

Participants can build, review and present a complete road GIS package for a defined highway programme.

  • Road network geodatabase assembled from centreline, route and asset datasets
  • Linear-referenced condition, safety and maintenance events loaded and validated
  • Priority analysis produced using documented criteria, weights and intervention rules
  • Operational map products prepared for managers, engineers and field teams
  • Metadata, quality findings and governance responsibilities documented for handover
  • Implementation roadmap presented with phased actions, resources and performance measures

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Road GIS data model template
  2. Linear referencing and chainage protocol
  3. Road asset field collection form
  4. Maintenance prioritisation criteria matrix
  5. Road GIS data-quality checklist
  6. Phased GIS implementation plan

Who should attend

  • Highway Engineers — need spatial evidence for design, maintenance and corridor decisions
  • Road Asset Managers — require reliable inventories and condition-based intervention priorities
  • GIS Analysts — need specialist methods for route networks and highway assets
  • Transport Planners — use network, accessibility and corridor data for programme planning
  • Survey and Mapping Officers — convert field observations into governed road GIS datasets
  • Public Works Project Managers — need map-based control of works, assets and reporting

Skills and tools covered

Linear referencingRoad asset modellingField data captureNetwork accessibility analysisMaintenance prioritisationGIS data governance

Tools and standards

ArcGIS Pro, QGIS, PostGIS, ISO 19115

How the course runs

Training methodology

The course uses short instructor briefings followed by software demonstrations and structured production tasks. Participants work with realistic road centreline, pavement, drainage, traffic, crash, inspection and imagery datasets. Group cases examine maintenance prioritisation, corridor upgrades and road-safety reporting, while individual assignments build a reusable GIS project. Trainers provide technical review points on data modelling, linear referencing, analysis and map design. The final capstone combines the methods into a road GIS package and implementation proposal.

Requirements and prerequisites

Participants should be comfortable using desktop software, managing files and interpreting basic maps, coordinates and attribute tables. Prior experience with ArcGIS Pro, QGIS or another desktop GIS is useful and participants should already understand common road terminology such as carriageway, centreline, chainage, culvert and right-of-way. Experience with road asset management, surveying, transport planning, maintenance or civil engineering will help participants apply the methods quickly. Programming, database administration, advanced statistics, remote-sensing image classification and prior knowledge of SQL are not required.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should understand basic maps, coordinates, attribute tables and common road terminology. Previous desktop GIS use is helpful, but advanced GIS analysis, programming and database administration are not required.

Bring a laptop if attending classroom delivery, subject to the joining instructions for the selected venue. Participants may also bring non-confidential examples of road inventories, inspection forms, asset registers or map products to inform their application planning.

The course is designed for highway engineers, asset managers, GIS analysts, transport planners, survey officers and public works project managers. It is most useful for people responsible for road data, maintenance planning, corridor studies or operational reporting.

General GIS courses teach broad mapping and analysis functions, while this course uses road-specific data structures and decisions. It focuses on route networks, chainage, pavement and drainage assets, maintenance priorities, crashes, work zones and highway map products.

Participants can adapt the data model, field form, quality checklist and implementation plan to an active road programme. The methods apply to inventory digitisation, condition surveys, maintenance planning, road safety reviews, project monitoring and right-of-way mapping.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first week establishes road datasets, linear referencing and field capture; the second week develops analysis, governance, publishing, system integration and the capstone project.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.