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  • 标题:Machine Learning Algorithm for Driver Rating
  • 本地全文:下载
  • 作者:Bhuvaneshwari ; S.Monisha ; M.Vidhya
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2022
  • 卷号:4
  • 期号:3
  • 页码:911-916
  • DOI:10.35629/5252-0403701705
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Reviewing and Rating mechanism for every consumer products provides a healthy competition in between the e-service providers. This paper work attempts to render the rating mechanism in the field of Intelligent Transportation system, ITS means adding intelligence in the field of vehicular transport. This paper work proposes a novel idea of Machine rating instead of human rating ie. the instead of consumer, the consumed product is going to rate the consumer. In proposed ITS consumer is the driver and the product is the vehicle itself. With the incorporation of sensor data processing in an ECU (Electronic Control Unit) in a car, it is essential to enhance the utilization of machine learning to accomplish new tasks. The potential applications include evaluation of driver condition or driving scenario classification through data fusion from different external and internal sensors and IOT(Internet Of Things). In this paper, one of the major tasks of a machine learning algorithm is continuous rendering of various sensors and forecast the rating based on the ideal model. This helps to analyzer the quality of the driver even in the absence of consumer. The enables the police department to track the drivers behavior from the cloud. These system offer driving convenience features that will be more vehicles in future model years. When engaged they use cameras, radar, and other sensors and sometimes even mapping data to try to keep a car centered in a lane and control speed so that the car remains a set distance in traffic from vehicles in front.
  • 关键词:Intelligent Transportation System;Vehicular Technology;Internet Of Things;Wireless Sensor;Electronic Control Unit
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