An Examination Paper on Connecting Big Data for Estimation of Driving Events Complete Instrument Data using Hadoop Ecology

Authors: Mr Poojan Gupta, Prof Vinod Gupta

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Abstract: In this paper we are consuming some machine learning approaches for the estimation of driving patterns and driving behavior of respective drivers. We collect all the data of a respective vehicle and make computations using hadoop tools. The primarily step is to built database to estimate the electrical vehicles energy consumption from driving logs for examine a data analysis framework using key points curb weight , motors capacity, speed acceleration , cargo weight , battery or fuel consumption ,transit time . We propose the business objective, to better understand the risk is under from fatigue of drivers, over-used trucks, and the impact of various trucking events on risk such as risk factor, driver mileage, truck mileage, average mileage. This use case is to analyze various parameter of a truck fleet. Each truck has been equipped to log location and event data. We propose the use of sensor big data to detect these events.

Keywords: Drivers Behavior, Machine Learning, Single Node Cluster, Energy Consumption Rate, Range Anxiety, Driving Environment, GPS

Paper Id: 85

Published On: 2018-05-11

Published In: Volume 6, Issue 3, May-June 2018

Cite This: An Examination Paper on Connecting Big Data for Estimation of Driving Events Complete Instrument Data using Hadoop Ecology - Mr Poojan Gupta, Prof Vinod Gupta - IJIRMPS Volume 6, Issue 3, May-June 2018.

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