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Proceedings ArticleDOI

A vehicle classification based on inductive loop detectors

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TLDR
In this article, the influence of loop length (in direction of vehicle movement) on differences between characteristics describing the magnetic profiles of the vehicles belonging to the different classes is discussed, and the case of extremely short loop (10 cm) which allows detection of the number of axles is also analyzed.
Abstract
The class of vehicle is one of more important parameters in the process of road traffic measurement. Up to now, strip piezoelectric sensors and video systems have been used. The use of very cheap inductive loop detectors for vehicle classification is also possible. Such vehicle classification systems are based on magnetic profiles recorded from inductive loops. The magnetic profile is sensitive to the loop dimensions. This paper presents a discussion concerning the influence of loop length (in direction of vehicle movement) on differences between characteristics describing the magnetic profiles of the vehicles belonging to the different classes. As characteristics describing the magnetic profile of the vehicle have been used: magnetic profiles in time domain (normalized in amplitude), probability density function and magnetic profiles in vehicle length domain. For real time applications, the conversion of the measured signal into a vector of numerical parameters (a few only) is also proposed. The influence of loop dimensions on a chosen signal parameter was investigated. The case of extremely short loop (10 cm), which allows detection of the number of axles, was also analyzed.

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Citations
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Journal ArticleDOI

Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities

TL;DR: This paper presents an integrated approach that combines smart street lamps with traffic sensing technology that uses infrastructure-based ultrasonic sensors, which are deployed together with a street light system and used for multilane traffic participant detection and classification.
Proceedings ArticleDOI

Vehicle Magnetic Signature Compatibility for Inductive Loop Sensor with Various Signal Conditioning Systems

TL;DR: A proper electrical model of generator based SCS is used to produce a compatible VMS from an impedance SCS and the proposed method is validated with laboratory measurements.
Proceedings ArticleDOI

Signal fusion of changes in the inductive loop impedance components for vehicle axle detection

TL;DR: Identification results of the function parameters allowing the optimal fusion of the conditioner output signals for various vehicle classes, as well as the axle detection algorithm, were presented.
References
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Journal ArticleDOI

Use of vehicle signature analysis and lexicographic optimization for vehicle reidentification on freeways

TL;DR: This paper formulates and solves the vehicle reidentification problem as a lexicographic optimization problem with the potential to yield reliable section measures such as travel times and densities, and enables the measurement of partial dynamic origin/destination demands.

Pacfic rim transtech conference proceedings. volume i. freeway control systems for using section-related traffic variable detection

R D Kuhne, +1 more
TL;DR: In this article, the authors describe traffic control systems for freeways which use section-related traffic variable measurement techniques, where the feature sequence of a vehicle series of one measurement site is correlated with the feature sequences of the adjacent measurement sites.

Freeway control systems for using section-related traffic variable detection

TL;DR: Practical experiences which are reported from a traffic control system on the freeway B14 between Fellbach and Stuttgart show a more reliable and quicker automatic incident detection in comparison with local measurement techniques.
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