What is Route Data Analysis?+
Route Data Analysis examines trip, stop, location, schedule and operational data to understand how routes actually perform. Depending on the available data, the work can surface travel-time variability, delay patterns, dwell or idle time, route exceptions, distance variance, stop performance, utilisation signals and other route-level trends.
Which transportation organisations can use this service?+
The service can suit ground-transport operators such as fleets, last-mile and distribution teams, shuttle or employee-transport operations, public-transport teams, mobility providers and organisations managing repeated vehicle routes. Suitability depends on the business question and the data available.
Is this the same as route optimisation?+
No. Route analysis explains current or historical route performance and identifies patterns that can inform decisions. Building or operating an optimisation engine that automatically assigns stops, vehicles or drivers is a different scope and may require a separate custom engagement.
What data do you usually need?+
Useful inputs may include GPS or telematics history, route and trip identifiers, timestamps, stop or task records, planned schedules, driver or vehicle identifiers, distance and duration fields, dispatch or TMS exports, and relevant location reference data. We confirm the minimum data needed for the exact question before work starts.
Can you work with GTFS and GTFS-Realtime data?+
For public-transport use cases, GTFS schedule files and GTFS-Realtime feeds can be relevant inputs. The exact files or feed entities required depend on whether the analysis is about routes, trips, stops, scheduled times, vehicle positions, delays or service exceptions.
Can you analyse CSV, Excel or GIS files?+
CSV and spreadsheet exports are common starting points. Geospatial formats such as GeoJSON, KML or Shapefile may also be relevant when route geometry or location boundaries matter. File compatibility and any required conversion are confirmed during scoping.
What route metrics can be reviewed?+
Relevant measures can include actual versus planned travel time, travel-time distribution, percentile or reliability measures, on-time performance, dwell or idle time, stop duration, distance variance, route completion patterns, repeated exceptions, utilisation signals and performance by time, day, route, vehicle or location. Only metrics supported by the source data are used.
Do you need direct access to our TMS or telematics platform?+
Not always. A suitable export can be enough for a one-time diagnostic. Direct system or API access may be useful for repeated refreshes, larger data volumes or automated reporting and is treated as a separate dependency when needed.
How do you handle poor-quality GPS or route data?+
The analysis includes data-quality checks relevant to the agreed scope, such as missing timestamps, duplicate records, invalid coordinates, unexpected time zones, inconsistent route or trip identifiers, unrealistic jumps and incomplete stop sequences. Material limitations are documented rather than silently hidden.
What do I receive at the end?+
Deliverables depend on the engagement. A bounded diagnostic can include a route-performance summary, visual route or segment views, KPI tables, documented assumptions, key findings and practical analysis notes. Cleaned analysis outputs, editable workbooks, dashboards or reusable datasets can be included when agreed in scope.
How much does Route Data Analysis cost?+
A focused Route Performance Diagnostic starts at USD 499 for a bounded analysis question using reasonably prepared data. Multi-route, multi-source, recurring, dashboard, integration or advanced modelling work is quoted after the data and decision need are reviewed.
What affects the price?+
The main drivers are data readiness, number and complexity of routes, analysis period, number of source systems, schedule or map-matching requirements, KPI depth, dashboard or reporting requirements, refresh cadence, API or integration work, and stakeholder-specific outputs.
How long does the analysis take?+
A focused diagnostic is typically planned for 5–7 business days after usable data and scope are confirmed. Larger studies take longer when they involve multiple sources, inconsistent identifiers, complex geospatial matching, stakeholder review cycles or recurring reporting.
Can you build a live route dashboard?+
A dashboard can be considered as custom scope when the required data source, refresh method, metrics, user access and hosting or BI environment are clear. A one-time analysis does not automatically include a live production dashboard.
What is not included in the standard diagnostic?+
Unless specifically agreed, the standard diagnostic does not include a production route-optimisation engine, dispatch-system implementation, live fleet control, hardware installation, map-data licensing, large data-platform migration, regulatory certification or operational guarantees.
What happens after I submit an enquiry?+
Rudrriv reviews the route question, available data and desired output. We may ask for clarification or a small data sample. Scope, price, data-transfer approach and delivery expectations are then confirmed before the engagement proceeds.
