Safety Perspective on Assisted Lane Changes: Insights from Open-Road, Live-Traffic Experiments

2025-08-12

AI Summary

This study addresses safety and traffic-impact concerns associated with commercially deployed ADAS lane-change assistance systems. Leveraging naturalistic driving data from open-road segments of I-24 in Tennessee, USA—combined with kinematic analysis and microscopic traffic simulation—we quantitatively assess lane-change duration, acceleration profiles, minimum safe gaps, and disturbance effects on trailing vehicles in the target lane across five production vehicles. We propose a Lane-Change Challenge Level classification model, revealing that four systems exhibit conservative behavior, while one executes aggressive maneuvers in ~5 seconds. Three systems induce statistically significant deceleration in following vehicles, potentially triggering stop-and-go waves and undermining traffic flow stability. Critically, the study identifies high-risk deceleration events and system-level traffic disturbances not addressed by current UN regulatory frameworks (e.g., UN R152). These findings provide empirical evidence and a methodological foundation for refining ADAS safety evaluation standards and optimizing lane-change control algorithms.

Technology Category

• Application Domains: Transportation
• Multiagent Systems: Adversarial Agents
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Security and Privacy: Large-scale security measurements
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

This study investigates the assisted lane change functionality of five different vehicles equipped with advanced driver assistance systems (ADAS). The goal is to examine novel, under-researched features of commercially available ADAS technologies. The experimental campaign, conducted in the I-24 highway near Nashville, TN, US, collected data on the kinematics and safety margins of assisted lane changes in real-world conditions. The results show that the kinematics of assisted lane changes are consistent for each system, with four out of five vehicles using slower speeds and decelerations than human drivers. However, one system consistently performed more assertive lane changes, completing the maneuver in around 5 seconds. Regarding safety margins, only three vehicles are investigated. Those operated in the US are not restricted by relevant UN regulations, and their designs were found not to adhere to these regulatory requirements. A simulation method used to classify the challenge level for the vehicle receiving the lane change, showing that these systems can force trailing vehicles to decelerate to keep a safe gap. One assisted system was found to have performed a maneuver that posed a hard challenge level for the other vehicle, raising concerns about the safety of these systems in real-world operation. All three vehicles were found to carry out lane changes that induced decelerations to the vehicle in the target lane. Those decelerations could affect traffic flow, inducing traffic shockwaves.

Problem

• Evaluates safety of ADAS-assisted lane changes in real traffic
• Compares kinematics and safety margins across five vehicle systems
• Identifies potential traffic flow disruptions from automated lane changes

Innovation

• Real-world ADAS testing on I-24 highway
• Simulation method for challenge level classification
• Comparative analysis of five ADAS lane change systems