DESIGNING OF DRIVER BEHAVIOR MODEL AND ITS DATA ANALYSIS FOR VEHICULAR APPLICATIONS

Pankaj H. Chandankhede, Milind M. Khanapurkar

Abstract: Design and Implementation of Evidence Collection System from Event Data Recorder”, deals with collection of Evidence for accident analysis. These evidences are in form of graphs. It includes graph of Speed Vs Time, Engine Temperature Vs Time, Distance Vs Time, Brake Pressure Vs Time, Engine Speed (RPM) Vs Time, Impact Vs Time and Tire Pressure Vs Time. Also it provides single graph merged with all these parameters at the time of accident. One more advantage of system is that, it can also provide Driver Behavior Model. By using this, driver’s driving performance could be found out. This system is nothing but the GUI constructed using Microsoft Visual Studio. All graphs are plotted using this Graphical User Interface. For Data Analysis purpose, B-tree algorithm is used here. Its performance for secondary storage devices and huge data handling capacity makes it more efficient. Data recorded by Event Data Recorder is used here as input. Event Data Recorder is also called as Black box of vehicles. It records vehicular data like speed, date, time, location (latitude, longitude), alcohol content of driver, airbag deployment etc. This data plays an important role detection and analysis of accident if any persists. These EDR are controlled by processors for very accurate operations.

Keywords: Event Data Recorder, Evidence Collection System & Data analysis

DOI: https://doi.org/10.15623/ijret.2016.0507046