[HTML][HTML] Systematic literature review on the applications, impacts, and public perceptions of autonomous vehicles in road transportation system

IO Olayode, B Du, A Severino, T Campisi… - Journal of traffic and …, 2023 - Elsevier
As the advancement of driverless technology, together with information and communication
technology moved at a fast pace, autonomous vehicles have attracted great attention from …

Comprehensive literature review on the impacts of COVID-19 pandemic on public road transportation system: challenges and solutions

IO Olayode, AG Severino, T Campisi, LK Tartibu - Sustainability, 2022 - mdpi.com
The COVID-19 pandemic is a significant public health problem and the leading cause of
reduction in the demand and supply of public transit in the last three years. It has caused an …

Comparative traffic flow prediction of a heuristic ANN model and a hybrid ANN-PSO model in the traffic flow modelling of vehicles at a four-way signalized road …

IO Olayode, LK Tartibu, MO Okwu, A Severino - Sustainability, 2021 - mdpi.com
The accurate and effective prediction of the traffic flow of vehicles plays a significant role in
the construction and planning of signalized road intersections. The application of artificially …

[HTML][HTML] Prediction and modeling of traffic flow of human-driven vehicles at a signalized road intersection using artificial neural network model: A South African road …

IO Olayode, LK Tartibu, MO Okwu - Transportation Engineering, 2021 - Elsevier
In recent years, an increasing number of models and algorithms based on time series
prediction and machine learning have been applied to traffic flow prediction, with good …

[HTML][HTML] Traffic flow modelling of long and short trucks using a hybrid artificial neural network optimized by particle swarm optimization

IO Olayode, B Du, LK Tartibu, FJ Alex - International Journal of …, 2024 - Elsevier
The significance of intelligent transportation systems and artificial intelligence in road
transportation networks has made the prediction of traffic flow a subject of discussion among …

Development of a hybrid artificial neural network-particle swarm optimization model for the modelling of traffic flow of vehicles at signalized road intersections

IO Olayode, LK Tartibu, MO Okwu, UF Ukaegbu - Applied Sciences, 2021 - mdpi.com
The tremendous increase in vehicular navigation often witnessed daily has elicited constant
and continuous traffic congestion at signalized road intersections. This study focuses on …

PREDICTION OF VEHICULAR TRAFFIC FLOW USING LEVENBERG-MARQUARDT ARTIFICIAL NEURAL NETWORK MODEL: ITALY ROAD TRANSPORTATION …

IO Olayode, A Severino, T Campisi, LK Tartibu - Komunikácie, 2022 - ceeol.com
In the last decades, the Italian road transport system has been characterized by severe and
consistent traffic congestion and in particular Rome is one of the Italian cities most affected …

Comparative study analysis of ANFIS and ANFIS-GA models on flow of vehicles at road Intersections

IO Olayode, LK Tartibu, FJ Alex - Applied Sciences, 2023 - mdpi.com
In the last two decades the efficient traffic-flow prediction of vehicles has been significant in
curbing traffic congestions at freeways and road intersections and it is among the many …

[HTML][HTML] Evaluation of the environmental impacts of bus rapid transit system on turbo roundabout

A Severino, G Pappalardo, IO Olayode… - Transportation …, 2022 - Elsevier
The public transportation system is significant in increasing the efficiency of urban mobility in
metropolitan cities, especially when transportation infrastructures are involved. The primary …

Performance evaluation of a hybrid PSO enhanced ANFIS model in prediction of traffic flow of vehicles on freeways: Traffic data evidence from South Africa

IO Olayode, A Severino, LK Tartibu, F Arena, Z Cakici - Infrastructures, 2021 - mdpi.com
In the last few years, there has been a significant rise in the number of private vehicles
ownership, migration of people from rural areas to urban cities, and the rise in the number of …