Artificial Intelligence to Prevent Road Accidents

Authors

Keywords:

Artificial Intelligence, Accident prediction, Road safety, Drug impaired driving, Connected cars, Detection of driver behaviour, Prognostics, Health Management

Abstract

Due to increasing demand in urban mobility and modern logistics sector, the vehicle population has been growing progressively over the past several decades. A natural consequence of the vehicle population growth is the increase in traffic congestion which in turn will lead to more accidents. Accident prediction is one of the most vital aspects of road safety. An accident can be predicted before it occurs, and precautionary measures can be taken to avoid it. Artificial Intelligence (AI) can help in improved awareness of road conditions, driving behaviour of the people and can avoid accidents with the help of improved active safety and improved traffic condition. Drug impaired driving is becoming a serious cause of accidents as the days go by. Moreover, it is more difficult to detect drivers who are under the influence of drugs than drivers who are the influence of alcohol. So the purpose of this research is to study and review the literature & industry reports and put in the approaches for detecting the unsafe driving pattern and also maintaining the health of the car to avoid accidents.

Author Biographies

Jaidev B, Lal Bahadur Shastri Institute of Management, Delhi, India.

Jaidev B is currently pursuing Post Graduate Diploma in Management in Research and Business Analytics at Lal Bahadur Shastri Institute of Management, Delhi, India. He is also a Mechanical Engineering graduate from Sree Narayana Gurukulam College of Engineering, Kadayiruppu, Kerala. He has done academic project on the topic “Welding Processes used in Shipbuilding and Development for Welding Procedure Specification for Duplex Stainless Steel” from Cochin Shipyard Ltd., Kerala.

Sonakshi Garg, Lal Bahadur Shastri Institute of Managenent, Delhi, India.

Sonakshi Garg  is currently pursuing Post Graduate Diploma in Research and Business Analytics at Lal Bahadur shastri Institute of Management , Dwarka, New Delhi. Degree in Bachelor of commerce from University of Delhi. Earlier, presented a paper on green purchasing behavior of young consumers and opportunities for marketers at 5th Annual International Commerce conference, 2016 in Vallabhbhai Patel Chest Institute, University of Delhi.

Sandhya Makkar, Lal Bahadur Shastri Institute of Management, Delhi, India.

Sandhya Makkar is Sr. Assistant Professor(operations) at Lal Bahadur Shastri Institute of Management, Delhi. She has more than 12 years of teaching and research experience. She is editor of many international books and journals. She has published umpteen number of research articles and papers. Her areas of interest are machine Learning, Optimization and Supply Chain Management.

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Published

2019-03-31

How to Cite

B, J., Garg, S., & Makkar, S. (2019). Artificial Intelligence to Prevent Road Accidents. International Journal of Machine Learning and Networked Collaborative Engineering, 3(01), 35–45. Retrieved from https://mlnce.net/index.php/Home/article/view/72