Reality vs. the load model
Compare measured traffic with Eurocode load models and see where reality agrees—or differs—from the assumptions used in design.
WIM-Cal · Bridge life 02 — In service
WIM-Cal analyses every WIM dataset using the same standardized methodology and assumptions. The result is directly comparable traffic information across sites, years and projects—providing a reliable basis for traffic load model calibration, bridge assessment and network-level decision making.
Pilot programme — open to qualified WIM datasets and institutional collaboration.
Why comparability matters
Compare measured traffic with Eurocode load models and see where reality agrees—or differs—from the assumptions used in design.
Evaluate the contribution of abnormal transports relative to both everyday traffic and design traffic models.
Create traffic load models based on measured traffic using a standardised methodology suitable for both new bridges and existing structures.
Store results in a consistent format so datasets remain comparable across projects, years, consultants and organisations.
A growing evidence base
Every analysed dataset becomes part of a comparable knowledge base that supports future projects, assessments and calibration studies.
Developed alongside the standardisation work of IABSE Task Group 1.10 on the utilisation of traffic data in bridge engineering.
How it works
Send a dataset (ask permission from the owner first) for testing.
A few details about the owner, location, format and purpose are enough for an initial assessment.
Convert the dataset into the WIM-Cal standard, ensuring comparable results across projects and organisations.
The dataset is analysed using the standardised methodology. You receive benchmark results, engineering conclusions and a written report.
Pilot programme
WIM-Cal is currently running as a pilot programme, developed together with early partners rather than behind closed doors. The methodology, workflow and reporting are still taking shape — so a road authority, bridge owner, infrastructure manager or consultancy that contributes a qualified dataset helps define how WIM-Cal works, guided by practical engineering needs. It is collaborative and engineering-driven, not experimental: every dataset analysed already returns standardised, comparable engineering evidence the owner can use, while helping shape the emerging standard. We are looking for qualified WIM datasets and institutional collaboration.