Multi-loop inductive sensor model for vehicle traffic applications

Abstract In this paper we develop an accurate sensor model for inductive loop detectors which are commonly used in traffic management systems. The model is based on rectangular coils and can be readily used for the analysis of vehicle inductive signatures, but it can be easily extended to other applications such as eddy-current non-destructive testing, magnetic resonance or induction heating. Our proposed model considers both flat and non-flat vehicle profiles and exhibits better performance than the standard approach under all the tested scenarios.

[1]  M. K. Mills,et al.  Inductive loop system equivalent circuit model , 1989, IEEE 39th Vehicular Technology Conference.

[2]  Akio Tanaka,et al.  Eddy current distribution for a rectangular coil arranged parallel to a moving conductor slab , 2012 .

[3]  M.K. Mills Inductive loop detector analysis , 1981, 31st IEEE Vehicular Technology Conference.

[4]  Yinhai Wang,et al.  Freeway Traffic Speed Estimation with Single-Loop Outputs , 2000 .

[5]  C. Paul Inductance: Loop and Partial , 2009 .

[6]  R. E. Beissner,et al.  Calculation of Eddy Current Fields for Coils of Arbitrary Shape , 1990 .

[7]  Adriana Dapena,et al.  Vehicle Classification Using the Discrete Fourier Transform with Traffic Inductive Sensors , 2015, Sensors.

[8]  Doo-Kwon Baik,et al.  Vehicle classification model for loop detectors using neural networks , 2005 .

[9]  Adriana Dapena,et al.  SiDIVS: Simple Detection of Inductive Vehicle Signatures with a Multiplex Resonant Sensor , 2016, Sensors.

[10]  H. B. Dwight,et al.  Tables of Integrals and Other Mathematical Data , 1934 .

[11]  James V. Krogmeier,et al.  Three-Dimensional Mapping of Inductive Loop Detector Sensitivity with Field Measurement , 2009 .

[12]  Heng Wei,et al.  Artificial neural network method for length-based vehicle classification using single-loop outputs , 2006 .

[13]  Albert E. Ruehli,et al.  Inductance calculations in a complex integrated circuit environment , 1972 .

[14]  D. Thompson,et al.  Review of Progress in Quantitative Nondestructive Evaluation , 1982 .

[15]  Janusz Gajda,et al.  A vehicle classification based on inductive loop detectors , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[16]  Stephen G. Ritchie,et al.  Use of vehicle signature analysis and lexicographic optimization for vehicle reidentification on freeways , 1999 .

[17]  Stephen G. Ritchie,et al.  Real-time freeway level of service using inductive-signature-based vehicle reidentification system , 2005, IEEE Transactions on Intelligent Transportation Systems.

[18]  Cheol Oh,et al.  Real-Time Traffic Measurement from Single Loop Inductive Signatures , 2001 .

[19]  Shin-Ting Jeng,et al.  Wavelet–k Nearest Neighbor Vehicle Classification Approach with Inductive Loop Signatures , 2013 .

[20]  Stephen G. Ritchie,et al.  Real-Time Vehicle Classification Using Inductive Loop Signature Data , 2008 .

[21]  Ahmed Y. Tawfik,et al.  Using Decision Trees to Improve the Accuracy of Vehicle Signature Reidentification , 2004 .

[22]  James V. Krogmeier,et al.  Vehicle Detector Signature Processing and Vehicle Reidentification for Travel Time Estimation , 2008 .

[23]  Stephen G. Ritchie,et al.  Individual Vehicle Speed Estimation Using Single Loop Inductive Waveforms , 1999 .

[24]  Theodoros Theodoulidis,et al.  Impedance evaluation of rectangular coils for eddy current testing of planar media , 2002 .