Vehicle Occupants and Driver Behavior: A Novel Data Approach to Assessing Speeding

Martin, Michael W; Green, Lisa W; Shipp, Eva; Chigoy, Byron; Mars, Rahul · 2019 · ROSA P / Safety through Disruption (Safe-D) University Transportation Center (UTC)

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Summary

This study addresses the challenge of accurately assessing how vehicle occupancy influences driver speeding behavior, a factor critical to road safety. Traditional data sources, such as insurance telematics, often lack passenger information, while naturalistic driving studies rely on imprecise demographic estimates from blurred photos. To overcome these limitations, the authors developed a novel data-driven approach that links household travel survey demographic data with GPS traces and network speed limit data. The research specifically examines the impact of passengers on speeding among three driver groups: teenagers, adults driving with child passengers, and older drivers. The methodology utilized data from the Texas Department of Transportation’s Household Travel Survey Program across 11 study areas. Researchers merged survey responses detailing household demographics and trip diaries with GPS data collected from a subset of vehicles. A rigorous multi-step process was employed to link GPS traces to specific survey trips, involving data standardization, GPS trip segmentation, and a geospatial-temporal matching algorithm that accounted for reporting errors and underreporting in diaries. These matched trips were then linked to HERE network data to determine posted speed limits. The resulting dataset was analyzed using binomial logistic regression models to evaluate the relationship between vehicle occupancy and speeding. The primary finding indicates that drivers speed less when traveling with passengers. This effect was particularly pronounced for adult drivers transporting child passengers, suggesting a protective influence of child occupants on driving behavior. The models successfully quantified the impact of occupancy across the targeted demographic groups, providing empirical evidence that passenger presence correlates with reduced speeding tendencies. The significance of this research lies in its methodological innovation and its implications for safety countermeasures. By demonstrating that household travel survey data can be effectively repurposed for safety analysis, the study offers a cost-effective alternative to expensive naturalistic driving studies. The findings support the development of targeted safety interventions, particularly for groups like teenagers and older drivers, where passenger effects may vary. Furthermore, the cleaned and linked dataset serves as a valuable resource for future research into the nuanced relationships between driver demographics, passenger characteristics, and risky driving behaviors.

Key finding

Drivers speed less when there is a passenger in the vehicle, particularly adult drivers with a child passenger(s).

Methodology

dataset

Provenance

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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.

• passenger effects
• speed choice
• exposure measurement
• sex gender
• induced exposure
• incidence prevalence

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: observational prevalence, crash risk outcomes
• Methodological Resource: dataset resource