Short answer

When designing automated driving systems for freight, prioritize configurations like three trucks at 80 km/h with 10m spacing, and ensure the system accounts for driver workload and interaction based on both simulation and real-world data.

Field
Human Factors
Source
European Transport Research Review (2025)
Method
Systematic Review
Evidence
Moderate effect

A common configuration for truck platooning involves three vehicles traveling at 80 km/h with a 10-meter gap, which has been identified as a key scenario for optimizing both human factors and operational efficiency. This human factors research insight is drawn from a 2025 study published in European Transport Research Review. Using Systematic review, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing automated driving systems for freight, prioritize configurations like three trucks at 80 km/h with 10m spacing, and ensure the system accounts for driver workload and interaction based on both simulation and real-world data.

Study
Human FactorsNew This WeekModerate effect

Optimal truck platooning: 3 trucks at 80 km/h with 10m spacing reduces driver workload and improves efficiency.

A common configuration for truck platooning involves three vehicles traveling at 80 km/h with a 10-meter gap, which has been identified as a key scenario for optimizing both human factors and operational efficiency.

European Transport Research Review · 2025

01

Key Findings

  • 01A commonly preferred platoon formation consists of three trucks.
  • 02A constant speed of 80 km/h and a stable distance of 10 m between trucks is frequently observed.
  • 03Simulator studies predominantly focus on human factors (driver behavior, interaction).
  • 04On-road trials provide tangible, technology-driven data and practical insights.
02

Application

Design takeaway

When designing automated driving systems for freight, prioritize configurations like three trucks at 80 km/h with 10m spacing, and ensure the system accounts for driver workload and interaction based on both simulation and real-world data.

How to apply

When developing or evaluating automated truck platooning systems, use the 3-truck, 80 km/h, 10m spacing configuration as a reference point for testing human factors and system performance.

Project actions

  • 01When researching automated driving, consider how drivers will interact with the system.
  • 02Use simulation to test driver reactions before real-world trials.
03

Method & Evidence

AimWhat are the key scenarios and requirements for successfully developing and implementing truck platooning, considering human factors and technological aspects?
MethodSystematic Review
ProcedureA systematic review of thirty articles was conducted, searching Web of Science and Scopus databases using PRISMA guidelines. Articles were categorized by testing environment (simulation, on-road, mixed) and thematic scope (human-centered, technology-centered, energy efficiency).
ContextAutomated freight transport, vehicle-to-vehicle communication, truck platooning.

Variables

IV["Testing environment (simulator vs. on-road)","Thematic scope (human-centered, technology-centered, energy efficiency)"]
DV["Driver behavior","Driver interaction","System efficiency","Operational costs"]
CV["Number of trucks in platoon","Speed","Distance between trucks"]
04

Strengths & Limitations

Strengths

  • +Systematic review methodology ensures comprehensive coverage of literature.
  • +Categorization by testing environment and theme provides structured insights.

Limitations

The findings are based on a review of existing studies, so the quality and scope of those original studies can influence the conclusions.

Reliability & validity

The reliability of the findings depends on the quality and consistency of the included studies. Validity is enhanced by the systematic review process, which aims to minimize bias.

Think critically

How might the 'optimal' configuration of three trucks at 80 km/h with 10m spacing change if the platoons were significantly larger, or if the vehicles were electric with different acceleration/deceleration characteristics?

05

Design Principles

"Automated system design should be informed by empirically validated operational parameters and human-centric considerations."

Understanding optimal configurations for automated systems like truck platooning is crucial for designers and engineers. This insight informs the development of user interfaces, control systems, and safety protocols that consider driver comfort, cognitive load, and overall system performance.

06

What This Means for Your Design

For automated trucks driving in a group (platooning), the best setup seems to be three trucks driving together at 80 km/h, keeping 10 meters apart. This setup is good for the drivers and makes things work better.

How to use in your project

  • 1.Reference the identified optimal configuration (3 trucks, 80 km/h, 10m spacing) when discussing design choices for automated systems.
  • 2.Use the findings on simulator vs. on-road testing to justify your research methodology.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights that a common and effective configuration for truck platooning involves three vehicles operating at 80 km/h with a 10-meter inter-vehicle distance. Studies utilizing simulators have predominantly focused on human factors, such as driver behavior and interaction, while on-road testing has provided more concrete, technology-focused data. This suggests that for robust design, both simulated human-centric scenarios and real-world performance data should inform development.

09

Source

European Transport Research Review

Simulator and on-road testing of truck platooning: a systematic review

journal · 2025

View source

Questions About This Research

What does the research say about optimal truck platooning: 3 trucks at 80 km/h with 10m spacing reduces driver workload and improves efficiency?
When designing automated driving systems for freight, prioritize configurations like three trucks at 80 km/h with 10m spacing, and ensure the system accounts for driver workload and interaction based on both simulation and real-world data. Evidence: European Transport Research Review (2025).
Why does "Optimal truck platooning: 3 trucks at 80 km/h with 10m spacing reduces driver workload and improves efficiency." matter for design?
Understanding optimal configurations for automated systems like truck platooning is crucial for designers and engineers. This insight informs the development of user interfaces, control systems, and safety protocols that consider driver comfort, cognitive load, and overall system performance.
How can designers apply this research?
When designing automated driving systems for freight, prioritize configurations like three trucks at 80 km/h with 10m spacing, and ensure the system accounts for driver workload and interaction based on both simulation and real-world data.
What were the main findings?
A commonly preferred platoon formation consists of three trucks.. A constant speed of 80 km/h and a stable distance of 10 m between trucks is frequently observed.. Simulator studies predominantly focus on human factors (driver behavior, interaction).. On-road trials provide tangible, technology-driven data and practical insights.
What research method was used?
Systematic Review.
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2025 journal from European Transport Research Review.
What should I do differently in my next project?
When developing or evaluating automated truck platooning systems, use the 3-truck, 80 km/h, 10m spacing configuration as a reference point for testing human factors and system performance.
What are the limitations?
The review acknowledges limitations in the existing literature, suggesting areas for future research.