An IoT-enabled intelligent automobile system for smart cities

In our world of advancing technologies, automobiles are one industry where we can see improved ergonomics and feature progressions. Artificial Intelligence (AI) integrated with Internet of Things (IoT) is the future of most of the cutting-edge applications developed for automobile industry to enhance performance and safety. The objective of this research is to develop a new feature that can enhance the existing technology present in automobiles at low-cost. We had previously developed a technology known as Smart Accident Precognition System (SAPS) which reduces the rate of accidents in automobile and also enhance the safety of the passengers. Current research advances this technique by integrating Google Assistant with the SAPS. The proposed system integrates several embedded devices in the automobiles that monitor various aspects such as speed, distance, safety measures like seatbelt, door locks, airbags, handbrakes etc. The real-time data is stored in the cloud and the vehicle can adapt to various situations from the previous data collected. Also, with the Google Assistant user can lock and unlock, start and stop, alert and do various automated tasks such as low fuel remainder, insurance remainders etc. The proposed IoT enabled real-time vehicle system can detect accidents and adapt to change according to various conditions. Further, with RFID keyless entry authentication the vehicle is secure than ever before. This proposed system is much efficient to the existing systems and will have a great positive impact in the automobile industry and society. (C) 2020 Elsevier B.V. All rights reserved.

Automated summary

The research aims to develop a new feature that can enhance the existing technology in automobiles, enhance safety, and achieve low costs. By integrating Google Assistant with the previously developed Smart Accident Precognition System, real-time monitoring and intelligent control of vehicles have been achieved, improving vehicle safety.