[HTML][HTML] A Comparison of Machine Learning Techniques in the Carpooling Problem

MAA Santos, CM Santos, SI Martínez… - Journal of Computer and …, 2020 - scirp.org
Urban traffic congestion is a severe and widely studied problem over the decade because of
the negative impacts. However, in recent years some approaches emerge as proper and …

Machine Learning Frameworks in Carpooling

V Veeraiah, V Talukdar, K Manikandan… - … of Research on AI and …, 2023 - igi-global.com
Due to the development in human population and their requirements, the vehicular
population on the globe is increasing day by day in the medium of public transportation. As a …

Ucarpooling: decongesting traffic through carpooling using automatic pairings

A Lugo, N Aquino, M González… - 2020 XLVI Latin …, 2020 - ieeexplore.ieee.org
A low average number of people per private vehicle and inappropriate road infrastructure
results in heavy traffic that wastes space, time and money for the people involved. To …

Carpooling solutions using machine learning tools

S Pramanik - Handbook of Research on Evolving Designs and …, 2022 - igi-global.com
If there isn't enough parking within a university's campus, it will take a long time to look for
parking. If a university has a number of research stations that are geographically apart from …

Applied Carpooling Research. Current Challenges and Future Trends

MC Rey-Merchán, M Pires Rosa… - … Challenges and Future … - papers.ssrn.com
Carpooling has been demonstrated as an effective strategy to optimize human
transportation, saving costs and fuel, reducing congestion and emissions. Carpooling …

[PDF][PDF] A New Framework to Enhance Carpooling Service Profitability

NK Mohamed, L Abdelhamid, AZ Ghalwash - International Journal of … - academia.edu
Carpooling or ride-sharing systems are considered to be an economical efficient method to
solve many traffic problems. Carpooling allows drivers to share their journeys with other …

Carpooling scheme selection for taxi carpooling passengers: a multi-objective model and optimisation algorithm

Q Xiao, RC He - Archives of Transport, 2017 - yadda.icm.edu.pl
Carpooling has been long deemed a promising approach to better utilizing existing
transportation infrastructure, the carpooling system can alleviate the problems of traffic …

Applying a structured simulation-based methodology to assess carpooling time–space potential

G Correia, JM Viegas - Transportation planning and technology, 2010 - Taylor & Francis
Increasing urban traffic congestion calls for the study of alternative measures. One such
measure is carpooling, a system in which a person shares his private vehicle with one or …

Intelligent Carpooling-Machine Learning Route and Pickup Optimisation

A Goojar, P Verma, N Singh… - … on Computing, Power …, 2024 - ieeexplore.ieee.org
In order to encourage carpooling between workplace personnel and college students, this
research article gives a unique method that makes use of machine getting to know and …

An Efficient Ridesharing Model using Machine Learning Based on Riders Reviews

A Shinde, P Bhoir, S Shinde… - 2023 4th International …, 2023 - ieeexplore.ieee.org
It is now more important than ever to take action to lessen the negative consequences of
private vehicles. If successfully implemented, mass transit is the ideal option, however …