Naturalistic Study of Truck Following Behavior

Nodine, Emily; Lam, Andy; Yanagisawa, Mikio; Najm, Wassim · 2016 · ROSA P / John A. Volpe National Transportation Systems Center (U.S.)

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Summary

This study, conducted by the Volpe National Transportation Systems Center for the Federal Highway Administration, investigates naturalistic heavy truck following behavior to support the development of automated truck platooning technologies. The research was motivated by the potential benefits of platooning, such as increased road capacity and reduced fuel emissions, and the lack of empirical data on current truck driving behaviors that could inform safe automation parameters. The study aimed to quantify how closely trucks follow other vehicles, how this behavior varies by environmental conditions, the distances at which cut-in events occur, and the safety implications of different following headways. The researchers utilized two existing naturalistic driving datasets: the Safety Pilot Model Deployment database, involving eight Freightliner Cascadia tractors on pick-up and delivery routes, and the Integrated Vehicle-Based Safety System (IVBSS) database, involving ten International TransStar tractor-trailers on both pick-up and delivery and line-haul routes. The methodology involved a three-step process: defining and extracting following events (highway driving above 45 mph with a lead vehicle within 77 meters for at least 20 seconds), validating these events through video analysis to determine lead vehicle type, weather, and time of day, and performing statistical analyses. The study evaluated metrics such as following distance, time headway, and crash probability, considering independent variables like lead vehicle type, speed, highway type, and weather conditions. Key findings revealed that professional truck drivers generally follow at significantly shorter headways than recommended in Commercial Driver’s License handbooks, averaging approximately 2.0 seconds compared to recommended 5–7 seconds. Trucks followed light vehicles at shorter distances and headways than heavy trucks at speeds under 60 mph, but followed heavy trucks more closely at speeds above 60 mph. Environmental factors influenced behavior, with trucks maintaining longer gaps on interstates, in poor weather, and at night. Regarding cut-in events, vehicles rarely cut in between two trucks following within 40 meters or between a truck and a light vehicle within 35 meters. Safety impact assessments indicated that crash risk increases considerably when headways drop below 1.0 second for human drivers, though risk remains extremely low for automated braking systems with 0.3-second reaction times. The significance of this study lies in providing baseline data for the design of automated truck platooning systems. By establishing realistic following distances and headways, the research helps define parameters that balance safety, comfort, and the prevention of cut-in maneuvers. The findings suggest that while current driver behavior involves shorter gaps than officially recommended, automated systems must account for these naturalistic behaviors to be effective. Furthermore, the data on cut-in thresholds and crash probabilities at various headways offers critical insights for developing control algorithms that ensure safe and efficient platooning operations in real-world traffic conditions.

Key finding

Truck drivers follow other vehicles at average headways of approximately 1.8 to 2.0 seconds, which is significantly shorter than the 5 to 7 seconds recommended in commercial driver license handbooks, and crash risk increases considerably when following at headways less than 1 second.

Methodology

naturalistic

Provenance

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

Topics

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• following distance

Information type

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• Empirical Findings: behavioral performance data