Transport Data Analytics

Timetable parsing, Journey time metrics, Accessibility KPIs, Performance Dashboards

Modern transport systems generate vast amounts of data—timetables, ticketing feeds, mobile-device datasets, GPS traces, socio-economic datasets and behavioural surveys. Turning these into meaningful insight requires not just technical skill, but deep domain knowledge. With extensi experience working with transport datasets of every kind, Amodellis provides end-to-end analytics services that support policy development, operational decision-making and long-term planning.

We blend traditional transport analysis with modern techniques from data science, automation and statistical modelling, enabling public authorities, operators and investors to make decisions based on clear, evidence-led insights.

Services Offered

Data Engineering & Processing

Specialist support for:

  • GTFS and BODS ingestion, cleaning and standardisation
  • Timetable parsing, schedule matching and version control
  • Large-scale data acquisition using APIs and automated web-scraping for traffic counts, journey-time data and congestion indicators
  • Integrating multi-source datasets (travel surveys, traffic sensors, radar, ticketing, land use, mobile traces)
  • Python- and R-based analytical workflows
  • Journey time and reliability analysis using TomTom and other floating-vehicle datasets
Accessibility & Network Analytics

Using timetable, service and spatial data to deliver:

  • Accessibility KPIs (travel-time mapping, access to jobs/services, connectivity)
  • Bus network coverage and frequency analysis
  • Rail and multi-modal connectivity measures
  • Catchment area and walk-access analysis
  • Scenario testing for new services or timetable changes
Behavioural & Demand Analytics

Drawing on advanced modelling tools to estimate:

  • Willingness-to-pay and value-of-time metrics
  • Journey time reliability impacts and metrics
  • Fare and price elasticities
  • Segmentation and market profiling
Custom Analytics Tools & Dashboards

Development of tailored tools for:

  • PT network monitoring
  • KPIs for transport strategies
  • Network performance dashboards
  • Automated reporting pipelines
  • API-based data integration (WebTRIS, BODS, Network Rail)

Relevant Experience

Bus Timetable Integration - Transport for the North

Developed a prototype analytical system using BODS GTFS feeds to generate accessibility metrics for authority partners across the North of England.

Tolling & Road Pricing – Multiple International Projects

Led extensive data-driven analysis for international toll road and managed-lane studies. Work included large-scale data acquisition using APIs and automated web-scraping tools to collect traffic counts, travel-time data, speed profiles and congestion indicators. Conducted spatial and temporal analysis of traffic patterns, developed travel-time reliability metrics, and integrated multi-source datasets to support pricing strategy, demand-risk assessment and investment-grade revenue forecasting.