Old Dominion University ODU Digital Commons Computer Science Theses & Dissertations Computer Science Fall 2017 SenSys: A Smartphone-Based Framework for ITS applications Abdulla Ahmed Alasaadi Old Dominion University,
[email protected] Follow this and additional works at: https://digitalcommons.odu.edu/computerscience_etds Part of the Computer Sciences Commons Recommended Citation Alasaadi, Abdulla A.. "SenSys: A Smartphone-Based Framework for ITS applications" (2017). Doctor of Philosophy (PhD), Dissertation, Computer Science, Old Dominion University, DOI: 10.25777/6s3w-1646 https://digitalcommons.odu.edu/computerscience_etds/34 This Dissertation is brought to you for free and open access by the Computer Science at ODU Digital Commons. It has been accepted for inclusion in Computer Science Theses & Dissertations by an authorized administrator of ODU Digital Commons. For more information, please contact
[email protected]. SENSYS: A SMARTPHONE-BASED FRAMEWORK FOR ITS APPLICATIONS by Abdulla Ahmed Alasaadi B.Sc. February 2003, University Of Bahrain, Bahrain M.Sc. 2005, Lancaster University, England A Dissertation Submitted to the Faculty of Old Dominion University in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY COMPUTER SCIENCE OLD DOMINION UNIVERSITY December 2017 Approved by: Tamer Nadeem (Director) Kurt Maly (Member) Michele Weigle (Member) Mecit Cetin (Member) ABSTRACT SENSYS: A SMARTPHONE-BASED FRAMEWORK FOR ITS APPLICATIONS Abdulla Ahmed Alasaadi Old Dominion University, 2018 Director: Dr. Tamer Nadeem Intelligent transportation systems (ITS) use different methods to collect and pro- cess traffic data. Conventional techniques suffer from different challenges, like the high installation and maintenance cost, connectivity and communication problems, and the limited set of data. The recent massive spread of smartphones among drivers encouraged the ITS community to use them to solve ITS challenges.