Driver's Response to Speed Advisory System and Implications on Traffic Performances

A Case Study of COBRA

Master Thesis (2025)
Author(s)

Y. yi (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

A. Hegyi – Graduation committee member (TU Delft - Civil Engineering & Geosciences)

H. Farah – Graduation committee member (TU Delft - Civil Engineering & Geosciences)

A.P. Afghari – Graduation committee member (TU Delft - Technology, Policy and Management)

Faculty
Civil Engineering & Geosciences
More Info
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Publication Year
2025
Language
English
Graduation Date
29-08-2025
Awarding Institution
Delft University of Technology
Programme
Transport, Infrastructure and Logistics
Faculty
Civil Engineering & Geosciences
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Abstract

This study investigates driver responses to a cooperative speed advisory system based on the Cooperative Breakdown Prevention Algorithm (COBRA) in a simulated two-lane highway bottleneck. Twenty-one participants completed 12 scenarios in a driving simulator, with controlled variations in adjacent-lane deceleration timing and gap position at advisory onset. Results show that visible adjacent-lane deceleration significantly accelerated compliance, while its absence led to delayed or hesitant responses. Across all conditions, minimum time-to-collision exceeded 6 s, indicating no elevated collision risk. The target speed of 80 km/h was consistently reached, though mean deceleration (−1.74 m/s2) was less than the nominal −2.00 m/s2. Lane-change timing was strongly influenced by adjacent-lane cues, but initial gap size had limited effect. The findings suggest COBRA can maintain safety and efficiency in human-driven, two-lane contexts, but real-world application requires adaptive trigger logic, integration of lane interactions, and consideration of driver comfort.

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