Proceedings ArticleDOI
A simple multiple loop sensor configuration for vehicle detection in an undisciplined traffic
S. Sheik Mohammed Ali,Boby George,Lelitha Vanajakshi +2 more
- pp 644-649
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TLDR
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.Abstract:Â
This paper presents an inductive loop vehicle detection system suitable for heterogeneous and less-lane disciplined traffic. Vehicle detection system based on conventional inductive loop principle has been in use but works well only for lane based and homogeneous traffic. A multiple loop system that is suitable for sensing vehicles in a heterogeneous and less-lane disciplined condition has been reported recently. This paper proposes a new measurement scheme for the multiple loop system. According to the new scheme, all the inductive loops are connected in series and only two cables are required, instead of two per each loop, between the measurement unit and multiple loop system, there by reduces the system complexity. Each loop has a unique resonance frequency and the excitation given to the loops connected in series is programmed to have frequency components covering all the resonance frequencies of the loops. When a vehicle goes over a loop the corresponding inductance and resonance frequency will change. The shift in frequency or its effect for individual loops can be monitored simultaneously and the vehicles can be sensed and identified as bicycle, motor-cycle, Car, Bus, etc. A prototype multiple loop system has been built and tested based on the proposed measurement scheme. The system developed sensed, classified and counted the vehicles accurately.read more
Citations
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Journal ArticleDOI
Smart Traffic Management System
Ninad Lanke,Sheetal Koul +1 more
TL;DR: Radio Frequency Identification (RFID) is introduced which can be coupled with the existing signaling system that can act as a key to smart traffic management in real time and will lead to reduced traffic congestion.
Journal ArticleDOI
Adaptable Vehicle Detection and Speed Estimation for Changeable Urban Traffic With Anisotropic Magnetoresistive Sensors
Qifan Wei,Bo Yang +1 more
TL;DR: An adaptable roadside vehicle detection and speed estimation system for various traffic conditions on urban roads based on tri-axial anisotropic magnetoresistive sensors and wireless sensor network that has a significant increase in accuracy, reliability, and practicability compared with the fixed threshold algorithm.
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.
Proceedings ArticleDOI
Non Functional Requirement Analysis in IoT based smart traffic management system
TL;DR: Non Functional requirement analysis is done for the Internet of Things based traffic management unit which indicates the traffic density and the design components are selected to deploy the design unit.
Proceedings ArticleDOI
Application of random forest algorithm to classify vehicles detected by a multiple inductive loop system
TL;DR: Results from a prototype system developed show that the RF based algorithm provides better accuracy compared to the threshold based and signature based methods.
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
Yong-Kul Ki,Doo-Kwon Baik +1 more
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
Yong-Kul Ki,Doo-Kwon Baik +1 more
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
S Meta,Muhammed Cinsdikici +1 more
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.