Design of Road Condition Sensor Based on Multiple Frequency Detecting Technology

Xue Peng Dong; Lei Han; Gang Yi Yin; Lei Cai

doi:10.4028/www.scientific.net/KEM.609-610.937

Paper Titles

The Structure Design and Simulation of the Ring Resonator Based on SOI Planar Optical Waveguide for the Micro Biochemical Sensor
p.914

A MEMS-Based Electrostatic Field Sensor Using Out-of-Plane Thermal Actuation
p.921

Experiment Research on Array Grouped by MEMS Vector Hydrophone
p.927

Study of a Temperature Detection Sensor in Road Surface Sensors System
p.932

Design of Road Condition Sensor Based on Multiple Frequency Detecting Technology
p.937

Design of Charge Pump for Inertial Sensor Drive Circuit
p.942

Control System of an Electromagnetic Vibrating Ring Gyroscope
p.952

A New Readout System for LC Resonant Sensors
p.957

A High-Resolution Lowpass Sigma-Delta Modulator Applied in Micro-Gyroscope
p.964

HomeKey Engineering MaterialsKey Engineering Materials Vols. 609-610Design of Road Condition Sensor Based on Multiple...

Design of Road Condition Sensor Based on Multiple Frequency Detecting Technology

Abstract:

Road surface sensors system, plays a very important role in the highway traffic field. Comprehensive estimation of road condition, will distinctly enhance the safety of transportation. Road condition sensor is used to distinguish the coverings on road surface, such as water, snow, ice, frost and so on. In this paper, we introduce the multiple frequency detecting technology used in the road surface sensors system, and design the road condition sensor to detect coverings on road surface. The main work includes design, measurement and improvement of the sensor.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 609-610)

Pages:

937-941

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.609-610.937

Citation:

Cite this paper

Online since:

April 2014

Authors:

Xue Peng Dong, Lei Han*, Gang Yi Yin, Lei Cai

Keywords:

Capacitance, Multiple Frequency Detecting, Road Condition Sensor

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] LUFFT. IRS21 Lufft Intelligent Road Surface Sensor. Available from http: /campbellsci. com/documents/manuals/irs21. pdf.

Google Scholar

[2] Trabelsi S, Nelson S O. Temperature dependence of bound water dielectric behavior in grain[C]/Instrumentation and Measurement Technology Conference, IMTC 04. Proceedings of the 21st IEEE. IEEE, 2004, 1: 66-69.

DOI: 10.1109/imtc.2004.1350996

Google Scholar

[3] Barros A P. Full-System Testing in Laboratory Conditions of an L-Band Snow Sensor System for In Situ Monitoring of Snow-Water Content[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2011, 49(3): 908-919.

DOI: 10.1109/tgrs.2010.2072786

Google Scholar

[4] Fulmek P L, Wandling F, Zdiarsky W, et al. Capacitive sensor for relative angle measurement[J]. Instrumentation and Measurement, IEEE Transactions on, 2002, 51(6): 1145-1149.

DOI: 10.1109/tim.2002.808052

Google Scholar

[5] Hyldgard A, Olafsdottir I, Olesen M, et al. FISH & CHIPS: four electrode conductivity/salinity sensor on a silicon multi-sensor chip for fisheries research[C]/Sensors, 2005 IEEE. IEEE, 2005: 1124-1127.

DOI: 10.1109/icsens.2005.1597902

Google Scholar

[6] Tiuri M, Sihvola A, Nyfors E, et al. The complex dielectric constant of snow at microwave frequencies[J]. Oceanic Engineering, IEEE Journal of, 1984, 9(5): 377-382.

DOI: 10.1109/joe.1984.1145645

Google Scholar

[7] Smith Jr R L, Lee S B, Komori H, et al. Relative permittivity and dielectric relaxation in aqueous alcohol solutions[J]. Fluid Phase Equilibria, 1998, 144(1): 315-322.

DOI: 10.1016/s0378-3812(97)00275-6

Google Scholar

[8] Matzler C. Microwave permittivity of dry snow[J]. Geoscience and Remote Sensing, IEEE Transactions on, 1996, 34(2): 573-581.

DOI: 10.1109/36.485133

Google Scholar