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Author Gutierrez, Christopher N., author.
Title Cleansing and classifying on-the-road data in California-specific driving conditions / by Christopher N. Gutierrez.
Published [Northridge, California] : California State University, Northridge, 2011.
LOCATION CALL # STATUS
 Electronic Book  QA76 .Z95 2011 G88eb    ONLINE
  
Description 1 online resource (ix, 47 pages) : graphs, charts, chiefly color.
Content Type still image
text
Format online resource
File Characteristics text file PDF
Thesis M.S. California State University, Northridge 2011.
Bibliography Includes bibliographical references (page 29).
Summary A cost efficient test procedure to assess Carbon Dioxide emissions under mobile air conditioning (MAC) operation is needed. The California Air Resource Board (CARB) is interested in developing an accurate assessment procedure that reflects Californian specific driving conditions to award auto-makers who reduce greenhouse gases under the Global Warming Solutions Act of 2006. The College of Engineering and Computer Science at California State University, Northridge (CSUN), in collaboration with CARB, instrumented two vehicles (2007 Toyota Camry and 2007 Chevrolet Impala) for extensive over-the-road (OTR) data collection. This data could help CARB determine air conditioning operation factors and provide insight on improving MAC systems. However, the data collected contains a variety of faults, misreadings, and noise. This thesis project investigates data mining techniques to address cleansing issues in regards to the extensive OTR data collected by the CSUN Mechanical Engineering Department. Due to the size of the data, CSUN's Grid Computer Lab is utilized for data cleansing procedures. Furthermore, a classification technique is developed to classify AC on/off usage as well as four different driving environments: Highway, Urban Open Road, Urban/Heavy Traffic, and Idle Crawl. A reporting mechanism is implemented to provide summaries in regards to data errors and driving statistics. The cleansed data and daily reports will provide insights for researchers interested in California specific MAC operations and Carbon Dioxide emissions.
Note Description based on online resource; title from PDF title page (viewed on November 29, 2011).
Subject Automobiles -- Pollution control devices -- Evaluation.
Local Subject Dissertations, Academic -- CSUN -- Computer Science.
OCLC number 849960300