Vehicle speed estimation using roadside sensors

In the paper the possibility of the vehicle speed estimation using the measurements of one sensor node which consist from the accelerometer and the magnetometer and located on the pavement is considered. The experiments on the test track demonstrated the good results: the speed estimation accuracy is approximately 90%. However, some improvements are needed before using the method on a regular road.

[1]  Marta Benavente Macaya.  Road Safety Review: Methodology and implementation on six roadsways in the town of Natick, Massachusetts , 2003 .

[2]  Steven E. Shladover,et al.  PATH Investigations in Vehicle-Roadside Cooperation and Safety: A Foundation for Safety and Vehicle-Infrastructure Integration Research , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[3]  Per Lindgren,et al.  Road Surface Networks technology enablers for enhanced ITS , 2010, 2010 IEEE Vehicular Networking Conference.

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

[6]  Roland Hostettler.  Traffic counting using measurements of road surface vibrations , 2009 .

[7]  Sinem Coleri,et al.  Traffic Measurement and Vehicle Classification with a Single Magnetic Sensor , 2004 .

[8]  Martin Isaksson,et al.  Vehicle detection using anisotropic magnetoresistors , 2008 .

[9]  P. Varaiya,et al.  Sensor Networks for Monitoring Traffic , 2004 .

[10]  Niklas Wahlström.  Target Tracking using Maxwell’s Equations , 2010 .

[11]  Roland Hostettler,et al.  Feasibility of road vibrations-based vehicle property sensing , 2010 .

[12]  Sing Yiu Cheung,et al.  Traffic Surveillance by Wireless Sensor Networks: Final Report , 2007 .

[13]  C. S. Chen,et al.  Karhunen–Loeve method for data compression and speech synthesis , 1991 .

[14]  Ching-Yao Chan.  Magnetic sensing as a position reference system for ground vehicle control , 2002, IEEE Trans. Instrum. Meas..

[15]  D. Schrank,et al.  2012 Urban Mobility Report , 2002 .

[16]  Tami Toroyan,et al.  Global Status Report on Road Safety: Time for Action , 2009 .

[17]  Sing Yiu Cheung,et al.  Traffic Surveillance with Wireless Magnetic Sensors , 2005 .