Modeling vehicle ownership with machine learning techniques in the Greater Tamale Area, Ghana.

ABSTRACT: Vehicle ownership modeling and prediction is a crucial task in the transportation planning processes which, traditionally, uses statistical models in the modeling process. However, with the advancement in computing power of computers and Artificial Intelligence, Machine Learning (ML) algorithms are becoming an alternative or a complement to the statistical models in modeling the transportation planning processes. Although the application of ML algorithms to the transportation planning processes-like mode choice, and traffic forecasting and demand modeling-have received much attention in research and abound in literature, scanty attention is paid to its application to vehicle ownership modeling especially in the context of small to medium cities in developing countries. Therefore, this stud

SUBMITTER: Abdul Muhsin Zambang M 

PROVIDER: S-EPMC7886192 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature