Intelligent Decision Support System for Automobiles
Brinda Mahesh1, B.Amutha2
1Brinda Mahesh, Computer Science and Engineering, SRM Institute of Science and Tecnology Chennai, India.
2Dr.B.Amutha, Computer Science and Engineering, SRM Institute of Science and Tecnology Chennai, India.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8068-8076 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8255118419/2019©BEIESP | DOI: 10.35940/ijrte.D8255.118419

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Abstract: Intelligent decision support system is a system that mimics human like thinking. There are situation where every time a presence of human is contradictory so in order to reduce the human MANPOWER we present the intelligent decision support system that gives the impression of the human-like thinking replacing a human in the spheres that is required. Intelligent decision support system can be incorporated in automobiles also which is one of the sphere among the millions .In an automobile the Intelligent decision support system can instigate a change. Instead of having a human driven vehicle we have proposed a method to have an autonomous driven vehicle. This autonomous driven vehicle is otherwise iterated as an Intelligent driver model where an Intelligent decision made is credited to the Intelligent driver model .Intelligent decision support system in automobiles can confide in with the human the confidence of automobile should drive with crash-less independent driving style. This would increase the confidence with the decline in the careless human-driven vehicle. Intelligent driven vehicles based on intelligent decision support system can enable a car itself to find a slot, a vacant slot in a car-parking area and could predict the congestion in a traffic-led area and to have a crash-less driven vehicle. Intelligent decision support system in an automobile can take the aid of data mining, deep reinforcement learning and Genetic algorithm.
Keywords: Data Mining, Deep Reinforcement Learning, Genetic Algorithm, Intelligent Decision Support System, Intelligent Driver Model.
Scope of the Article: Data Mining.