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Proceedings ArticleDOI

A multiple loop vehicle detection system for heterogeneous and lane-less traffic

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TLDR
A novel inductive loop sensor which detects large as well as small vehicles and help a traffic control management system in optimizing the best use of existing roads is presented.
Abstract
This paper presents a novel inductive loop sensor which detects large (e.g., bus) as well as small (e.g., bicycle) vehicles and help a traffic control management system in optimizing the best use of existing roads. To accomplish the sensing of large as well as a small vehicle, a multiple loop inductive sensor system is proposed. The proposed sensor structure not only senses and segregates the vehicle type as bicycle or motor cycle or car or bus but also enables accurate counting of the number of vehicles that too in a mixed traffic flow condition. A prototype of the multiple loop sensing system has been developed using a virtual instrumentation scheme and tested. Field tests indicate that the prototype successfully detected all types of vehicles and counted, correctly, the number of each type of vehicles. Thus the suitability of the proposed multi loop sensor system for any type of traffic has been established.

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Citations
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Journal ArticleDOI

A Multiple Inductive Loop Vehicle Detection System for Heterogeneous and Lane-Less Traffic

TL;DR: A novel inductive loop sensor that can detect vehicles under a heterogeneous and less-lane-disciplined traffic and thus can be used to support a traffic control management system in optimizing the best use of existing roads is presented.
Journal ArticleDOI

An Efficient Multiple-Loop Sensor Configuration Applicable for Undisciplined Traffic

TL;DR: The scheme proposed in this paper employs a new configuration, where all the loops are connected in series, which considerably reduces the system complexity and improves reliability, and can be used for real-time intelligent transportation system (ITS) applications under heterogeneous and less lane-disciplined conditions.
Journal ArticleDOI

Using Blockchains to Implement Distributed Measuring Systems

TL;DR: This paper implements a vehicle speed measuring system using the Hyperledger Fabric blockchain platform, demonstrating that blockchain-based measuring systems can impact the way measuring instruments are used in consumer relations while improving security and simplifying metrological regulation and control.
Journal ArticleDOI

A Wireless Sensor Network-Based Portable Vehicle Detector Evaluation System

TL;DR: The architecture and design of a Portable Vehicle Detector Evaluation System and the implementation results, focusing on the wireless sensor networks and methods for traffic information measurement, show that it can evaluate a Vehicle Detection System conveniently and objectively.
Proceedings ArticleDOI

A simple multiple loop sensor configuration for vehicle detection in an undisciplined traffic

TL;DR: In this article, an inductive loop vehicle detection system suitable for heterogeneous and less-lane disciplined traffic is presented. But it works well only for lane based and homogeneous traffic.
References
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Proceedings ArticleDOI

A vehicle classification based on inductive loop detectors

TL;DR: 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.
Journal ArticleDOI

Vehicle-Classification Algorithm for Single-Loop Detectors Using Neural Networks

TL;DR: A new algorithm for ILD using back-propagation neural networks is suggested to improve the vehicle-classification accuracy compared to the conventional method based on ILD.
Journal ArticleDOI

Model for accurate speed measurement using double-loop detectors

TL;DR: A new model that uses an error-filtering algorithm to improve the accuracy of speed measurements and it can be concluded that the proposed model significantly improves vehicle-speed-measuring accuracy.
Journal ArticleDOI

Vehicle-Classification Algorithm Based on Component Analysis for Single-Loop Inductive Detector

TL;DR: A novel vehicle-classification algorithm that uses the time-variable signal generated by a single inductive loop detector to strengthen the classification accuracy by emphasizing the undercarriage height variation of the vehicle.
Patent

Inductive loop vehicle detector

TL;DR: In this paper, an inductive loop is used to detect vehicles in the immediate vicinity of the loop, where the vehicle's presence is dependent on whether or not the vehicle is over the loop.
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