Cargo Tank Incident Study (CTIS): Rollover Data and Risk Framework

Calabrese, Clark; Bartinique, Ingrid; Bisch, Alison; Raney, Mark; Markunas, Rebecca · 2017 · ROSA P / John A. Volpe National Transportation Systems Center (U.S.)

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This report, prepared for the Pipeline and Hazardous Materials Safety Administration (PHMSA), addresses the critical need to minimize risks associated with hazardous materials transportation via commercial cargo tank trucks. The study focuses specifically on cargo tank rollovers, identified as a leading cause of injury and death in hazardous material incidents. The research aims to identify human factors contributing to these crashes, evaluate trends in rollover statistics over the last decade, and assess the relationship between training regulations, curricula, and advanced safety technologies to identify operational gaps compromising safety. The methodology involved a detailed human factors analysis of 93 cargo tank rollovers occurring between 2011 and 2014. Data were sourced from Police Accident Reports (PARs), photographs, witness statements, media articles, and PHMSA forms. Researchers developed a risk framework incorporating accident type, critical events, driver errors, and vehicle-related factors to categorize and analyze the crashes. Additionally, the study compared recent rollover data with statistics from approximately ten years prior using the National Automotive Sampling System (NASS) General Estimates System (GES) database. The research also included a review of advanced safety technologies, such as stability control systems and telematics, and an examination of federal and state training regulations through stakeholder outreach and literature reviews. The findings indicate that driver performance errors were the most frequent contributing factor, accounting for about half of the rollovers. Poor directional control was the largest category of performance error, followed by overcompensation. Driver decision errors, primarily involving excessive speed for conditions, were the second most frequent error; notably, in two-thirds of these cases, drivers were traveling under the posted speed limit. Analysis of driver safety records revealed no significant difference in error distribution among drivers with varying histories of previous violations, suggesting that rollovers are not necessarily linked to a pattern of unsafe driving. While the average number of cargo tank rollovers decreased since a 2007 report, there was no clear downward trend over the decade. Most rollovers occurred on straight, undivided roadways away from intersections, with just under half involving excessive speed. The study concludes that current training and safety technologies must better address unintentional lane departures and appropriate speed management for tank truck operators. It identifies gaps in existing regulatory frameworks and training curricula. Consequently, the authors recommend that the Federal Motor Carrier Safety Administration (FMCSA) and PHMSA collaborate to develop a specific Tank Vehicle Endorsement Curriculum. They also advise redesigning the Commercial Driver’s License (CDL) manual to improve access to tank vehicle information and encourage the industry to explore tank-vehicle-specific rollover prevention signage. These recommendations aim to enhance driver training and mitigate the high risk of rollover incidents in hazardous materials transportation.

Key finding

Driver performance errors, specifically poor directional control and overcompensation, were the most frequently identified contributing factors in cargo tank rollovers, accounting for approximately half of the incidents analyzed.

Methodology

dataset

Sample size: 93

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

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

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• truck driver fatigue
• bus coach

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: crash risk outcomes
• Methodological Resource: dataset resource