Publications by Benjamin E. Henty

Phenomenological Driving Behavior Model of the Suburban Vehicle-to-Vehicle Propagation Channel at 5.9 GHz

Lin Cheng, Benjamin E. Henty, Daniel D. Stancil, Fan Bai, and Priyantha Mudalige. Phenomenological Driving Behavior Model of the Suburban Vehicle-to-Vehicle Propagation Channel at 5.9 GHz. In Mobile Networks for Vehicular Environments (MOVE) Workshop of IEEE INFOCOM, pp. 79–84, Anchorage, Alaska, May 2007.

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Abstract

Through a field implementation of Vehicular Ad hoc NETworks (VANET), we report the observation of a monotonic dependence of maximum relative velocity between two vehicles and their separation, for typical suburban driving. We introduce a hierarchical phenomenological model of driving behavior to describe this observation. As an example, we illustrate how we use this model to predict the expected Doppler shift with vehicle separation. Doppler shift computed from field measured spectra confirms the effectiveness of the model predictions. The model can be used to provide guidance in designing experiments with specific combinations of maximum velocity and separation, and to provide more accurate Intelligent Transportation Systems (ITS) simulations.

BibTeX

@CONFERENCE{henty_infocom_2007,
  author = {Lin Cheng and Benjamin E. Henty and Daniel D. Stancil and Fan Bai
	and Priyantha Mudalige},
  title = {Phenomenological Driving Behavior Model of the Suburban Vehicle-to-Vehicle
	Propagation Channel at 5.9 GHz},
  booktitle = {Mobile Networks for Vehicular Environments (MOVE) Workshop of IEEE
	INFOCOM},
  year = {2007},
  pages = {79-84},
  address = {Anchorage, Alaska},
  month = may,
  abstract = {Through a field implementation of Vehicular Ad hoc NETworks (VANET),
	we report the observation of a monotonic dependence of maximum relative
	velocity between two vehicles and their separation, for typical suburban
	driving. We introduce a hierarchical phenomenological model of driving
	behavior to describe this observation. As an example, we illustrate
	how we use this model to predict the expected Doppler shift with
	vehicle separation. Doppler shift computed from field measured spectra
	confirms the effectiveness of the model predictions. The model can
	be used to provide guidance in designing experiments with specific
	combinations of maximum velocity and separation, and to provide more
	accurate Intelligent Transportation Systems (ITS) simulations.},
  doi = {10.1109/MOVE.2007.4300808},
  file = {henty_infocom_2007.pdf:me/henty_infocom_2007.pdf:PDF},
  owner = {henty},
  timestamp = {2007.05.08},
  url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4300808}
}

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