Bright Emmanuel Owusu
Research Subjects
Bright Emmanuel Owusu has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Albert Adu-Sackey1 shared publication
- Dickson Anokye1 shared publication
- Gabriel Obed Fosu
Department of Mathematics Kwame Nkrumah University of Science and Technology Kumasi Ghana
1 shared publication
Latest Publications
- Open Access
- 24 November 2024
- Published by University of Western Ontario, Western Libraries in Mathematics in Applied Sciences and Engineering
- Vol. 5 (4) , 276-291
Incorporating mean-field velocity difference in a continuum macroscopic traffic flow model for adverse road conditions
In developing countries, the quality of driving infrastructure, specifically road conditions, is often suboptimal, presenting challenges and limitations for motorists. However, current traffic flow models have limitations in addressing problems caused by poor road networks. To address this issue, a new macroscopic traffic flow model has been proposed in this study that considers mean-field velocity differences on roads with suboptimal conditions. A thorough model derivation of this new macroscopic traffic flow model is presented. The study establishes crucial stability conditions, providing profound insights into traffic dynamics across diverse scenarios. Numerical simulations are presented to demonstrate the model's ability to capture shock waves, rarefaction waves, and local cluster effects. The study results offer new insights into traffic dynamics in adverse road conditions and enforce the need to enhance road infrastructure to alleviate congestion and enhance road safety.
- 24 November 2024
- Published by University of Western Ontario, Western Libraries in Mathematics in Applied Sciences and Engineering
- Vol. 5 (4) , 276-291
Open AccessIncorporating mean-field velocity difference in a continuum macroscopic traffic flow model for adverse road conditions
In developing countries, the quality of driving infrastructure, specifically road conditions, is often suboptimal, presenting challenges and limitations for motorists. However, current traffic flow models have limitations in addressing problems caused by poor road networks. To address this issue, a new macroscopic traffic flow model has been proposed in this study that considers mean-field velocity differences on roads with suboptimal conditions. A thorough model derivation of this new macroscopic traffic flow model is presented. The study establishes crucial stability conditions, providing profound insights into traffic dynamics across diverse scenarios. Numerical simulations are presented to demonstrate the model's ability to capture shock waves, rarefaction waves, and local cluster effects. The study results offer new insights into traffic dynamics in adverse road conditions and enforce the need to enhance road infrastructure to alleviate congestion and enhance road safety.