[PDF][PDF] An optimal machine learning model based on selective reinforced Markov decision to predict web browsing patterns
The abundance of user usage data has gained exponential dimensions as a result of the
ongoing expansion and spread of Web applications and Web-based systems. Web user …
ongoing expansion and spread of Web applications and Web-based systems. Web user …
Distracted Walking: Does it impact pedestrian-vehicle interaction behavior?
Several studies have developed pedestrian-vehicle interaction models. However, these
studies failed to consider pedestrian distraction, which considerably influences the safety of …
studies failed to consider pedestrian distraction, which considerably influences the safety of …
Fidelity assessment of motion platform cueing: Comparison of driving behavior under various motion levels
The present paper focuses on vehicle simulator fidelity, particularly the effect of motion cues
intensity on driver performance. The 6-DOF motion platform was used in the experiment; …
intensity on driver performance. The 6-DOF motion platform was used in the experiment; …
PedCross: Pedestrian Crossing Prediction for Auto-Driving Bus
The topic of study, Intelligent Transportation System (ITS), focuses on using vehicle-to-
environment communication to address severe traffic problems, such as safety and …
environment communication to address severe traffic problems, such as safety and …
Machine Learning for Geospatial Analysis: Enhancing Spatial Understanding and Decision-Making
RR Vincent, E Sakthivel, M Kumari, F Nisha… - … Learning, and Python …, 2024 - igi-global.com
Historically, statistical techniques have been a major component of geographic analysis,
which is the study of geographical phenomena using geographic data. But the emergence of …
which is the study of geographical phenomena using geographic data. But the emergence of …
Traffic Signal Control System Using Contour Approximation Deep Q-Learning
RS Ramya, KK Bharath, K Revanth Krishna… - Engineering …, 2024 - mdpi.com
A reliable transit system is essential and offers a lot of advantages. However, traffic has
always been an issue in major cities, and one of the main causes of congestion in these …
always been an issue in major cities, and one of the main causes of congestion in these …
A comparative analysis of distracted and non-distracted pedestrian dynamics in urban intersections: an adversarial inverse reinforcement learning approach
T Alsharif - 2023 - open.library.ubc.ca
Several studies have developed pedestrian-vehicle interaction models. However, these
studies failed to consider pedestrian distraction, which considerably influences the safety of …
studies failed to consider pedestrian distraction, which considerably influences the safety of …