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Time-Optimal Lane Change for Tractor-Semitrailer on Varying Road Friction: Performance Bounds for Autonomous Driving
EEARM Motion Planning and Control, Scania CV AB Sweden*EEARM Motion Planning and Control, Scania CV AB, Sweden.
EEARM Motion Planning and Control, Scania CV AB Sweden*EEARM Motion Planning and Control, Scania CV AB, Sweden.
KTH, School of Industrial Engineering and Management (ITM), Centres, Integrated Transport Research Lab, ITRL. KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-3672-5316
2025 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Emergency maneuvers for autonomous tractor-semitrailer combinations have been studied in previous works, but questions remain in order to demonstrate safety in all weather and road conditions. By formulating a lane change maneuver in different road conditions as a numerical optimal control problem, an upper performance bound can be established and subsequently used as a benchmark in the development of autonomous driving or advanced driver assistance-systems. The resulting optimal maneuver indicates that the time-optimality of a maneuver is strongly linked to the force direction of the trailer axle. Comparing the optimal lane change maneuvers with optimal straight line braking indicates that the decision of whether to brake or evade in emergency situations should be informed by the available tire-road friction. The results can be used to inform safe autonomous vehicle behaviors in low-friction conditions.

Place, publisher, year, edition, pages
Elsevier BV , 2025. p. 25-30
Keywords [en]
Autonomous driving, Emergency maneuvers, Tire-road friction, Tractor-semitrailer
National Category
Control Engineering Vehicle and Aerospace Engineering Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-369072DOI: 10.1016/j.ifacol.2025.07.005ISI: 001541346600005Scopus ID: 2-s2.0-105011588753OAI: oai:DiVA.org:kth-369072DiVA, id: diva2:1995932
Conference
12th IFAC Symposium on Intelligent Autonomous Vehicles, IAV 2025, Phoenix, United States of America, May 7 2025 - May 9 2025
Note

QC 20250908

Available from: 2025-09-08 Created: 2025-09-08 Last updated: 2026-05-29Bibliographically approved

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Mårtensson, Jonas

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CiteExportLink to record
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