Field Operational Test of the Freightliner/Meritor WABCO Roll Stability Advisor and Control at Praxair

Winkler, C.; Sullivan, J.; Bogard, S.; Goodsell, R.; Hagan, Michael · 2003 · ROSA P / Freightliner LLC

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Summary

This paper reports on a Field Operational Test (FOT) conducted under the Intelligent Vehicle Initiative to evaluate the effectiveness of the Freightliner/Meritor WABCO Roll Stability Advisor and Control (RA&C) system. The research was motivated by the significant safety risk posed by heavy truck rollovers, which account for 14% of fatal crashes and half of all truck driver fatalities. The primary objective was to determine if the RA&C system could modify driver behavior during turns to reduce rollover risk through in-cab advisory messages and, when necessary, direct vehicle control. The study utilized a naturalistic experimental design involving six Freightliner tractor-trailer combinations operated by Praxair Corporation in the Great Lakes region from November 2000 to November 2001. The test fleet accumulated approximately 10,000 hours and 772,000 km of driving data. Twenty-three drivers participated, with fourteen completing the entire study. The experiment employed a within-subjects design: drivers operated without the active RA&C system for the first six months (baseline) and with the system activated for the subsequent six months. The RA&C system comprised three components: the Roll Stability Advisor (RSA), which provided post-event training messages; the Roll Stability Control (RSC), which actively reduced engine power to prevent rollovers; and Hard Braking Event Detection (HBED). Data collection included vehicle motion, driver inputs, ambient conditions, and system functionality, resulting in a database exceeding 60 gigabytes after processing. Analysis of the data revealed mixed results regarding the system's overall impact. While no statistically significant main effect of the RA&C system on turning performance was found, significant interactive influences suggested a reduction in rollover risk in specific scenarios, such as severe turns in good weather or right-hand turns. Individual advisories had a short-term but statistically significant positive influence on driver performance, particularly within the first 250 km following an alert. The study identified individual driving style as the strongest factor influencing turning behavior, with variations between drivers exceeding the impact of other variables like weather or load. Notably, drivers did not fully compensate for the reduced stability of loaded vehicles, and the RA&C system was found to be overly sensitive, issuing over 80% of advisories during empty vehicle conditions. Subjectively, drivers found the system easy to understand and believed it would be most beneficial for inexperienced drivers. The findings imply that while RA&C-like devices have potential, future iterations must be more sensitive to actual vehicle stability and less conservative in their triggering thresholds. The authors recommend that future field tests include fleets with less experienced drivers and evaluate systems with manager feedback. Additionally, the study highlighted the importance of accounting for the broad range of natural driver behavior in experimental design. The report also covers secondary evaluations of Lane Guidance technology and 3D road mapping techniques, noting that Lane Guidance performed best at night and during cruise control operation at highway speeds.

Key finding

The RA&C system showed no significant main effect on overall turning performance, but individual advisories significantly improved driver conservatism in severe turns within 250 kilometers of the event.

Methodology

naturalistic

Sample size: 23

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• steering pattern
• lane positioning

Information type

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• Empirical Findings: crash risk outcomes
• Methodological Resource: validation psychometrics, dataset resource