Road load data acquisition (RLDA) is the foundation for vehicle development, yet many engineering teams struggle to obtain consistent, trustworthy load data they can confidently reuse across simulation, testing, and design decisions.

In practice, RLDA workflows are often fragmented. Sensor measurement, data acquisition, signal conditioning, and analysis are often handled by disconnected tools, creating gaps in traceability, increased manual effort, and uncertainty in downstream durability results.

In this webinar, we explore what robust road load data workflows look like when the full measurement chain is treated as a single system - from vehicle mounted strain measurements and rugged DAQ hardware through embedded processing and advanced post analysis. Using real world examples, we’ll show how an integrated approach reduces setup complexity, improves data quality, and increases confidence in durability and fatigue decisions.

Gain a clearer understanding of how modern, end to end RLDA solutions help shorten development cycles, reduce rework, and turn measured road loads into reliable engineering insight.

Presenters:

Kurt Munson - Applications Engineering Manager

Brian Lovdahl – Field Application Engineer
 

Date: June 24, 2026

Duration: 1 Hour

Language: English