Crowdsensing for Driving Experience Improvement

Abstract

In the Name of Allah, the Most Beneficent, the Most Merciful. All the praises and thanks be to Allah for giving me the strength to complete this project. I would like to express my gratitude to my supervisor Pr. Abdelmalik Bachir for his immense knowledge, motivation, understanding and support that contributed to the success of this project. My deepest gratitude to my parents: Zohra and Bensayeh, for their love, kindness and support. Special thanks to my sisters and their children for their love and moral support during my studies. Last but not least, I’d like to thank my professors and colleagues for the great learning experience we had through the past few years.Mobile crowd sensing (MCS) have proven to be a critical improvement for internet services and applications. It empowers the general population to participate in the sensing process using their smart phones that come equipped with different sensors and great processing capabilities. The data they generate can be used in various applications one of which is improving their daily routines such as driving. This thesis presents our solution to improve the driving experience of people as an android application based on MCS architecture, which addresses a phenomenon that might pose a danger to many drivers and that is speed bumps. We utilize the built-in accelerometer of smart phones as a sensor for bumps while driving. The resulting application managed to detect and alert the users of incoming bumps, while facing some limitations such as data quality or false alerts. KEYWORDS: crowdsensing, driving experience improvement, internet, android, mobile application.