Sattibabu, G., Sridevi, C.H., Siva, S.P.T. and Ganika Sridevi, S. (2012) Design of Velocity-Measuring System with Doppler Radar Concept and FFT Algorithm Based on ARM Processor for Traffic Safety. International Journal of Advanced Research in Electronics and Communication Engineering, 1, 22-27.

has been cited by the following article:

• TITLE: Data Based Calibration System for Radar Used by Vehicle Activated Signs

  AUTHORS: Diala Jomaa, Siril Yella, Mark Dougherty, Karin Edvardsson

  KEYWORDS: Vehicle Activated Signs, Doppler Radar, Vehicle Velocity, Experiment, Calibration

  JOURNAL NAME: Journal of Data Analysis and Information Processing, Vol.2 No.4, November 27, 2014

  ABSTRACT: The accurate measurement of a vehicle’s velocity is an essential feature in adaptive vehicle activated sign systems. Since the velocities of the vehicles are acquired from a continuous wave Doppler radar, the data collection becomes challenging. Data accuracy is sensitive to the calibration of the radar on the road. However, clear methodologies for in-field calibration have not been carefully established. The signs are often installed by subjective judgment which results in measurement errors. This paper develops a calibration method based on mining the data collected and matching individual vehicles travelling between two radars. The data was cleaned and prepared in two ways: cleaning and reconstructing. The results showed that the proposed correction factor derived from the cleaned data corresponded well with the experimental factor done on site. In addition, this proposed factor showed superior performance to the one derived from the reconstructed data.