International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 11, November 2013) 122 Safe Driving and Accidental Monitoring Using GPS System and Three Axis Accelerometer Roma Goregaonkar 1 , Prof. Snehal Bhosale 2 Abstract— Mobile phones today are equipped with inbuilt sensors that give safety enhancement to the drivers on road. The three axis accelerometer and a GPS tracking system of smart phone can give assistance to the driver while travelling. In this paper the emphasis is on safety with advanced driver assistance system (ADAS’s). The three axis accelerometer of an Android based smart phone is used to record and analyse various and external road conditions that could be hazardous to the health of the driver and the automobile. With real time analysis and alerts of these factors, we can increase a driver’s overall awareness to maximize safety. Google Earth is used to create road condition maps using GPS coordinates. In addition to this the accelerometer can be used to design and implement a fall monitor with GPS system and GSM module. A wireless black box using GPS tracking and GSM module can be developed for accidental monitoring. Keywords— Three-axis Accelerometer, GPS system, GSM module, road condition, Smart phone I. INTRODUCTION In Today’s life we are focused on arriving at our destination as quickly as possible. Car manufacturers are focused on passive approach, e.g., airbags, seat belts, and antilock brakes, lane departure warning system and collision avoidance systems. But we are not always aware of all the dangerous conditions that are experienced while operating an automobile. Factors such as sudden vehicle fall and hazardous road conditions such as bumps, potholes etc. which often contribute to accidents of vehicles. The simplest method might be to collect the photos of damage roads and hazards taken by the participants and to upload them to a central serve .But this requires strong participants from the users and manual images analysis, so the author in the paper [8] suggested automated approach for detecting potholes or bumps with less errors is the use of embedded sensing devices or smart phones. Due to tremendous growth in smartphones embedded with numerous sensors such as accelerometers, Global Positioning Systems (GPSs), magnetometers, multiple microphones, and even cameras [3]. The scope of sensor networks has expanded into many application domains such as intelligent transportation systems that can provide users with new functionalities previously unheard of. In this work a GPS system of smartphone is targeted as an alternative device for ADASs that can assist the driver and compliment any existing active safety features. Given its accessibility and portability, the smartphone can bring a driver assist to any vehicle without regard for on vehicle communication system requirements. With this as our motivation we envision a cheap and convenient mobile device that is able to analyze and advise the driver on sudden and harmful situations that arise from vehicle fall and environmental factors. The [1] paper describes the mobile sensing system for road irregularity detection using Android OS based smart phones and evaluation is with true positive rate using real data world. Map on Google Earth Provide constructive feedback to the driver in crucial condition. In addition we can also develop a system that makes use of accelerometer to implement a fall monitor. Accident in public is a major problem in many countries and quick assistance is not reached to the people who got the accident. Intelligence schemes [2] such as fall or accident detection with tracking system has been devised to notify the accident to the related people. In this work wireless black box using accelerometer and GPS system along with GSM module is developed for accident monitoring. II. SYSTEM OVERVIEW FOR SAFE DRIVING A. System Description The author in the paper [5] attempts to find a novel way to match the local map with actual GPS traces from mobile phones. It has been found that method can be used to obtain 100% map matching, as it ensures matching by comparing the GPS data to a set of pre-determined check points. Monitoring road and traffic conditions is a major problem. Several methods have been proposed towards addressing this problem. Proposed techniques [10] require dedicated hardware such as GPS devices and accelerometers in vehicles or cameras on roadside and near traffic signal. The author proposed a method that uses sensors present on smartphones. This sensor distinguishes the bumpy road with from a smooth one. This can be used to detect single speed bumps and lengthier patches where the road is consistently bumpy.