DocumentCode
1942369
Title
907-Plow - Anchorage´s approach to real-time snowplow tracking
Author
Menard, Timothy ; Lund, John ; Miller, Jeffrey ; Petersen, Todd
Author_Institution
Dept. of Electr. & Comput. Syst. Eng., Univ. of Alaska Anchorage, Anchorage, AK, USA
fYear
2012
fDate
16-19 Sept. 2012
Firstpage
1453
Lastpage
1458
Abstract
We present a novel approach to tracking heavy machinery used as snowplows for the improvement of commuter safety. We have developed hardware designed for universal installation in snowplows that relay location and plow position data without human interaction over a cellular network to the real-time traffic simulator FreeSim [1-3]. FreeSim analyzes the data and overlays it onto Google Maps [4] by color-coded lines displaying the time elapsed since the roadway was last plowed. The plow position is determined utilizing magnetic fields between the plow blade and a stationary mount on the snowplow. By publicly displaying this information we aim to educate the end user with the current reported road conditions.
Keywords
cellular radio; magnetic fields; real-time systems; road safety; snow; tracked vehicles; traffic engineering computing; FreeSim; Google Maps; anchorage approach; cellular network; color coded lines; commuter safety; hardware design; heavy machinery tracking; human interaction; magnetic fields; plow blade; plow position data; real-time snowplow tracking; real-time traffic simulator; relay location; road conditions; roadway; universal installation; Blades; Hall effect; Magnetic sensors; Roads; Snow; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Conference_Location
Anchorage, AK
ISSN
2153-0009
Print_ISBN
978-1-4673-3064-0
Electronic_ISBN
2153-0009
Type
conf
DOI
10.1109/ITSC.2012.6338793
Filename
6338793
Link To Document