Query optimization
International Journal of Computer Science and Management Research
Vol 2 Issue 4 April 2013
ISSN 2278-733X
Mobile Based Monitoring of Driving Patterns
Ashish Chaudhary1 Ashish Bajaj2 Nandan Shah3 and Neha Mankar4
Department of Computer Engineering, Sinhgad College of Engineering
University of Pune, India
Abstract -- India holds a highly uncertain variation of registering the highest number of road accidents in the world. In this paper, we propose a highly efficient system to monitor the driving patterns. We shall use accelerometer and orientation sensor that are present in most of today’s smartphones. The solution will bring down the use of specialized hardware thus helping reduce cost and making implementation faster and easier. We shall use a pattern matching algorithm to compare the drivers’ driving style to predefined patterns depicting rash driving. These patterns will be based on a number of various parameters such as speed of the vehicle, radius of turns etc. If the patterns are matched then an alert will be generated in the form of a message, alarm or call.
Keywords – Mobile Phones, Sensors,
Driving Pattern, Android
I. INTRODUCTION
It goes without saying; a majority of accidents which occur are due to rash driving. Crashes caused by lack of alertness in vehicle drivers pose a serious danger to people. This is hazardous not only to drivers themselves but also often to the general public. According to the report of U.S.
National
Highway
Traffic
Safety
Ashish Chaudhary et.al.
Administration (NHTSA), more than a million people have died in traffic crashes in the United States since 1966. Also the main reason for the occurrence of these disasters was reckless driving. Till date, the detection of rash driving has been based on visual observations by patrol officers. But detection through visual observations does not possess satisfactory results. So it is essential to develop systems that actively
Vol 2 Issue 4 April 2013
ISSN 2278-733X
Mobile Based Monitoring of Driving Patterns
Ashish Chaudhary1 Ashish Bajaj2 Nandan Shah3 and Neha Mankar4
Department of Computer Engineering, Sinhgad College of Engineering
University of Pune, India
Abstract -- India holds a highly uncertain variation of registering the highest number of road accidents in the world. In this paper, we propose a highly efficient system to monitor the driving patterns. We shall use accelerometer and orientation sensor that are present in most of today’s smartphones. The solution will bring down the use of specialized hardware thus helping reduce cost and making implementation faster and easier. We shall use a pattern matching algorithm to compare the drivers’ driving style to predefined patterns depicting rash driving. These patterns will be based on a number of various parameters such as speed of the vehicle, radius of turns etc. If the patterns are matched then an alert will be generated in the form of a message, alarm or call.
Keywords – Mobile Phones, Sensors,
Driving Pattern, Android
I. INTRODUCTION
It goes without saying; a majority of accidents which occur are due to rash driving. Crashes caused by lack of alertness in vehicle drivers pose a serious danger to people. This is hazardous not only to drivers themselves but also often to the general public. According to the report of U.S.
National
Highway
Traffic
Safety
Ashish Chaudhary et.al.
Administration (NHTSA), more than a million people have died in traffic crashes in the United States since 1966. Also the main reason for the occurrence of these disasters was reckless driving. Till date, the detection of rash driving has been based on visual observations by patrol officers. But detection through visual observations does not possess satisfactory results. So it is essential to develop systems that actively
References: FAST Pattern Matching Algorithm”, 2004. Detection of Driving Environments in a VisionBased Driver Assistance System”, 2003.