Szczegóły publikacji

Opis bibliograficzny

Detecting vehicle inter-axle distance, including scenarios with a lifted axle, through the application of a multi-frequency impedance measurement system that utilizes inductive loop sensors / Zbigniew MARSZAŁEK, Artur Ryguła, Andrzej Maczyński, Krzysztof DUDA // Metrology and Measurement Systems : quarterly of Polish Academy of Sciences ; ISSN  2080-9050 . — Tytuł poprz.: Metrologia i Systemy Pomiarowe ; ISSN:  0860-8229. — 2025 — vol. 32 no. 3, s. 1–16. — Bibliogr. s. 13–15, Abstr. — Publikacja dostępna online od: 2025-07-03

Autorzy (4)

Słowa kluczowe

intelligent transportation systemvehicle classificationinductive loopITSwheelbaseWIMmulti-frequency impedancespeed measurementvehicle magnetic profilelifted axleinter axle distanceWeight-in-Motion system

Dane bibliometryczne

ID BaDAP165727
Data dodania do BaDAP2026-01-29
Tekst źródłowyURL
DOI10.24425/mms.2025.154670
Rok publikacji2025
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaMetrology and Measurement Systems

Abstract

Analysing traffic data collected under varying conditions requires the categorization of vehicle types. One significant issue is that most of the sensors used in vehicle classification systems cannot detect a lifted axle, which often leads to incorrect vehicle categorization. This article recommends utilizing a multi-frequency inductive loop (IL) impedance measurement (MFILIM) system for measuring vehicle inter-axle distances, also in the case of lifted axles. Two slim IL sensors and two wide IL sensors are utilized in the proposed MFILIM system. The vehicle speed and inter-axle distances are evaluated using the vehicle magnetic profile (VMP) waveforms, which are derived from the IL impedance measurements taken simultaneously at three carrier frequencies for a single IL sensor. The potential of the proposed method was validated through a laboratory testbed (LTB) equipped with IL sensor models and vehicle models constructed on a 1:50 scale. Additionally, validation was conducted under real traffic conditions using a road testbed installed adjacent to a commercial weigh-in-motion (WIM) system. The results obtained from several different test vehicles, which passed through the measuring stations multiple times during the experiment, were selected for analysis. The analysis indicated that the MFILIM system outperformed the commercial WIM station by yielding smaller errors in determining inter-axle distances. In addition, it successfully detected a lifted axle in all cases and accurately determined its distance from adjacent axles.

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