Carpooling Solutions Using Machine Learning Tools

Carpooling Solutions Using Machine Learning Tools

Copyright: © 2023 |Pages: 19
ISBN13: 9781799888055|ISBN10: 1799888053|ISBN13 Softcover: 9781799888062|EISBN13: 9781799888079
DOI: 10.4018/978-1-7998-8805-5.ch011
Cite Chapter Cite Chapter

MLA

Pramanik, Sabyasachi. "Carpooling Solutions Using Machine Learning Tools." Advanced Research and Real-World Applications of Industry 5.0, edited by Mahmoud Numan Bakkar and Elspeth McKay, IGI Global, 2023, pp. 189-207. https://doi.org/10.4018/978-1-7998-8805-5.ch011

APA

Pramanik, S. (2023). Carpooling Solutions Using Machine Learning Tools. In M. Bakkar & E. McKay (Eds.), Advanced Research and Real-World Applications of Industry 5.0 (pp. 189-207). IGI Global. https://doi.org/10.4018/978-1-7998-8805-5.ch011

Chicago

Pramanik, Sabyasachi. "Carpooling Solutions Using Machine Learning Tools." In Advanced Research and Real-World Applications of Industry 5.0, edited by Mahmoud Numan Bakkar and Elspeth McKay, 189-207. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-7998-8805-5.ch011

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.