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.
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.
@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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