The present study proposes a decision-making model based on different models of driver
behavior, aiming to ensure integration between road safety and crash reduction based on …

The paper is focused on researching the application of the ANFIS (Adaptive Neuro Fuzzy
Inference System) model in traffic and transport through a review of relevant papers. ANFIS …

Autonomous driving technology is vital for intelligent transportation systems. Vehicle driving
behavior prediction is the foundation and core of autonomous driving. A detailed review of …

Traffic congestion has become increasingly prevalent in many urban areas, and researchers
are continuously looking into new ways to resolve this pertinent issue. Autonomous vehicles …

Purpose-This study aims to develop an automatic lane-change mechanism on highways for
self-driving articulated trucks to improve traffic safety. Design/methodology/approach-The …

The present study proposes a decision-making model based on different models of driver
behavior, aiming to ensure integration between road safety and crash reduction based on …

Vehicular Ad-Hoc Network (VANET) is currently an active area of research and aims to
improve vehicle, road safety, traffic efficiency, convenience and comfort to drivers as well as …

Nowadays, the increasing car accidents ask for the better driver behavior analysis and risk
assessment for travel safety, auto insurance pricing and smart city applications. Traditional …

This research presents a thorough and cohesive approach for examining driver behavior
and precisely determining vehicle speed by combining several sensory inputs. The system …

Predictive control of vehicle systems often requires application of forecasting models. In this
work a stochastic framework for generating forecasts of vehicle dynamics is proposed, to …