Carpooling Solutions Using Machine Learning Tools

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Author(s): Sabyasachi Pramanik (Haldia Institute of Technology, India)
Copyright: 2023
Pages: 19
Source title: Advanced Research and Real-World Applications of Industry 5.0
Source Author(s)/Editor(s): Mahmoud Numan Bakkar (Institute of Applied Technology, Abu Dhabi Vocational Education and Training Institute, UAE)and Elspeth McKay (Cogniware.com.au, Australia)
DOI: 10.4018/978-1-7998-8805-5.ch011

Keywords: Business Science Reference / Human-Computer Interaction / Operations and Service Management / Social Sciences & Humanities

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Abstract

Many people in the world face travel issues in their daily lives, such as traffic congestion, lack of parking spaces, fuel, waste, and pollution. For example, if there are not enough parking spaces on a university campus, it will take a significant amount of time for the students as well as faculty to find parking. In addition, if parking is available outside, employees will have to travel a long distance to enter the building, which will require additional time. Each day, many people in the world must travel a considerable distance to get to their destination. The purpose of this chapter is to resolve the travel issue by proposing a carpool solution using machine learning techniques.

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