An Analysis of Temperature and Pressure Data from Connected Vehicles in the Developmental Testbed Environment
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2009-06-09
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Edition:Final; Feb. 2008-Jan. 2013.
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Abstract:With funding and support from the USDOT RITA and direction from the FHWA Road Weather Management Program, NCAR is developing a Vehicle Data ; Translator (VDT) that incorporates vehicle-based measurements of the road and surrounding atmosphere with other weather data sources and creates road ; and atmospheric hazard products. In support of VDT development, this report (1) analyzed archived probe message data from the PoC, DUAP, and DTE09 ; experiments, and (2) provided hardware recommendations for processing data. Major conclusions include: (a) The SRT, CRT, NST, and CAT provide a ; robust QCh set; (b) For DTE09, the Jeep Cherokees proved superior to the Ford Edges and Nissan Altima; (c) For all three data sets, temperature ; measurements are superior to pressure measurements; (d) Environmental conditions (precipitation, temperature) might affect the QCh pass rates, but vehicle ; characteristics (speed) and time of day do not. The effects of environmental conditions on these datasets were not statistically significant for the most part, ; and physically the differences were small; (e) For the temperature observations that passed QCh in DTE09, the resulting statistics indicate that the vehicle ; data is very similar to KDTW; and (f) Storage of vehicle and ancillary data will require considerable disk space.
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Main Document Checksum:urn:sha-512:5a33ae0c5cb39d7cbc2c33eb904b4167cd167856d7fe9b22399dcfaf0727337f43c03b152a86ac958958bdaea91294fe04d311cbb601ff00c19efdeec8319455