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Timetable Optimisation

Machine Learning-Powered Timetable Optimisation

Build smarter, more reliable and resilient schedules using historical performance data and Intermoda's machine learning engine. Improve customer experience, reduce operational risk and meet contract KPIs by optimising run times, focusing recovery time where needed and surfacing data-backed improvements planners can act on with confidence.

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Trusted Features

Smarter Timetables, Without the Guesswork

Smarter Timetables, Without the Guesswork

Smiling passenger seated on a bus surrounded by other commuters
Contract-Aligned Scheduling

Configure our models to meet specific contract KPI thresholds (e.g. 85-95% On-Time Running targets).

Multi-Source Data Fusion

Uses fused real-time, telematics, and ticketing data for maximum accuracy and fault tolerance.

Automated Outlier Handling

Surface and resolve unreliable trips without inflating run times or idle recovery windows.

Seasonal and Event-Based Timetables

Adjust for school terms, holidays or periods of disruption — with clarity and control.

Scenario Modelling

Run virtual timetable options in seconds to test impact before they go live.

Diagnose the root cause of on time running issues

Pinpoint the cause of on time issues by separating driver performance from network bottlenecks with dwell analysis and comparative stats by shift, route and corridor.

Integrates With Your Scheduling Tools

Export-ready and flexible — implement changes at your own pace.

How It Works

From Billions of Data Points to Real-World Service Gains

From Billions of Data Points to Real-World Service Gains

With thousands of trips, routes and disruptions, human-led scheduling can’t keep up. Intermoda’s machine learning engine ingests data from multiple PT systems and generates contract-optimised, efficiency-focused timetables — in minutes.

With thousands of trips, routes and disruptions, human-led scheduling can’t keep up. Intermoda’s machine learning engine ingests data from multiple PT systems and generates contract-optimised, efficiency-focused timetables — in minutes.

Ingest

Historical AVL, telematics, ticketing and GPS data — cleansed and unified across systems.

Optimise

Model stop and trip-level performance, including deadheads, to identify reliable versus problematic segments.

Empower

Produce schedules that are smarter, faster to implement, and more aligned to on-the-ground realities.

Built for Real-World Implementation

Flexible for Planners. Reliable for Passengers.

Flexible for Planners. Reliable for Passengers.

No two networks are the same. Intermoda helps inform the thresholds appropriate for your network, identifying variability and targeting recovery time efficiently. Our model lets you generate optimised timetables for:

No two networks are the same. Intermoda helps inform the thresholds appropriate for your network, identifying variability and targeting recovery time efficiently. Our model lets you generate optimised timetables for:

School and non-school schedules

Peak and off-peak periods, by day type

Urban vs regional areas

Known event or roadwork disruption periods

Make incremental improvements or deploy at scale — all at a cadence that suits your community and contracts.

Procurement Advantage

Attract Better Bids. Submit Stronger Tenders.

Attract Better Bids. Submit Stronger Tenders.

Deliver smarter, more efficient and reliable services that your passengers will love. Accurate timetable data is a strategic asset in competitive procurement.

Deliver smarter, more efficient and reliable services that your passengers will love. Accurate timetable data is a strategic asset in competitive procurement.

For agencies

it enables a more level playing field — allowing all bidders to use consistent, reliable data when estimating costs and designing schedules. Use data to establish achievable performance targets, set service expectations, and reduce transition risk. This results in fairer, more transparent tenders that deliver better customer outcomes.

For operators

Intermoda helps validate and sharpen tender assumptions. Our clients have improved cost competitiveness by benchmarking real-world performance data to avoid underbidding or over-padding runtimes. Avoid penalties from unrealistic runtimes and use data to bid confidently. Use data to justify your bids, align with service expectations, and reduce commercial risk