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How do long combination vehicles perform in real traffic?: A study using Naturalistic Driving Data
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle Systems and Driving Simulation.. Division of Vehicular Systems, Department of Electrical Engineering, Linköping University, Sweden.ORCID iD: 0009-0000-0356-7799
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle Systems and Driving Simulation.. Division of Vehicular Systems, Department of Electrical Engineering, Linköping University, Sweden.ORCID iD: 0000-0002-7780-7449
Division of Vehicular Systems, Department of Electrical Engineering, Linköping University, Sweden.ORCID iD: 0000-0001-7349-1937
2024 (English)In: Accident Analysis and Prevention, ISSN 0001-4575, E-ISSN 1879-2057, Vol. 207, no November, article id 107763Article in journal (Refereed) Published
Abstract [en]

This paper evaluates the performance of two different types of long combination vehicles (A-double and DuoCAT) using naturalistic driving data across four scenarios: lane changes, manoeuvring through roundabouts, turning in intersections, and negotiating tight curves. Four different performance-based standards measures are used to assess the stability and tracking performance of the vehicles: rearward amplification, high-speed transient offtracking, low-speed swept path, and high-speed steady-state offtracking. Also, the steering reversal rate metric is employed to estimate the cognitive workload of the drivers in low-speed scenarios. In the majority of the identified cases of the four scenarios, both combination types have a good performance. The A-double shows slightly better stability in high-speed lane changes, while the DuoCAT has slightly better manoeuvrability at low-speed scenarios like roundabouts and intersections. 

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 207, no November, article id 107763
Keywords [en]
Naturalistic driving data, Long combination vehicles, A-double, DuoCAT, Performance-based standards, Rearward amplification, High-speed transient offtracking, Low-speed swept path, High-speed steady-state offtracking, Steering reversal rate
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:vti:diva-21192DOI: 10.1016/j.aap.2024.107763ISI: 001306831800001Scopus ID: 2-s2.0-85202965314OAI: oai:DiVA.org:vti-21192DiVA, id: diva2:1897467
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HCT-II
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Vinnova, 2019-03103Available from: 2024-09-13 Created: 2024-09-13 Last updated: 2024-09-20Bibliographically approved

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Behera, AbhijeetKharrazi, Sogol

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1415161718192019 of 20
CiteExportLink to record
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