Evaluating pedestrian interaction preferences with a game theoretic autonomous vehicle in virtual reality
Localisation and navigation of autonomous vehicles (AVs) in static environments are now
solved problems, but how to control their interactions with other road users in mixed traffic …
solved problems, but how to control their interactions with other road users in mixed traffic …
Helping automated vehicles with left-turn maneuvers: A game theory-based decision framework for conflicting maneuvers at intersections
Y Rahmati, MK Hosseini… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The deployment of connected, automated vehicles (CAVs) provides the opportunity to
enhance the safety and efficiency of transportation systems. However, despite the rapid …
enhance the safety and efficiency of transportation systems. However, despite the rapid …
Improved Bidirectional RRT ∗ Path Planning Method for Smart Vehicle
In this paper, an improved bidirectional RRT∗ vehicle path planning method for smart
vehicle is proposed. In this method, the resultant force of the artificial potential field is used to …
vehicle is proposed. In this method, the resultant force of the artificial potential field is used to …
Game theory-based simultaneous prediction and planning for autonomous vehicle navigation in crowded environments
Navigating crowded environments with substantial pedestrian interactions poses distinctive
challenges for autonomous vehicles (AVs), primarily due to the interdependence of …
challenges for autonomous vehicles (AVs), primarily due to the interdependence of …
Unfreezing autonomous vehicles with game theory, proxemics, and trust
Recent years have witnessed the rapid deployment of robotic systems in public places such
as roads, pavements, workplaces and care homes. Robot navigation in environments with …
as roads, pavements, workplaces and care homes. Robot navigation in environments with …
The effects of dynamic complexity on drivers' secondary task scanning behavior under a car-following scenario
L Wang, H Li, M Guo, Y Chen - International journal of environmental …, 2022 - mdpi.com
The user interface of vehicle interaction systems has become increasingly complex in recent
years, which makes these devices important factors that contribute to accidents. Therefore, it …
years, which makes these devices important factors that contribute to accidents. Therefore, it …
Strategic Synergies: Unveiling the Interplay of Game Theory and Cultural Dynamics in a Globalized World
Y Wang, M Morkūnas, J Wei - Games, 2024 - mdpi.com
This literature review focuses on cultural-related studies and game theory. First of all, it
analyzes how social dynamics and strategic interactions can be shaped by different cultural …
analyzes how social dynamics and strategic interactions can be shaped by different cultural …
Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning
Background Intoxicated pedestrians are particularly vulnerable while crossing roads
because of their impaired cognitive and decision-making abilities. A deeper understanding …
because of their impaired cognitive and decision-making abilities. A deeper understanding …
A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory
This paper aims to propose a pedestrian trajectory prediction model based on pedestrian–
vehicle game theory to study pedestrian trajectories during pedestrian–vehicle interaction at …
vehicle game theory to study pedestrian trajectories during pedestrian–vehicle interaction at …
Data-driven entropic spatially inhomogeneous evolutionary games
We introduce novel multi-agent interaction models of entropic spatially inhomogeneous
evolutionary undisclosed games and their quasi-static limits. These evolutions vastly …
evolutionary undisclosed games and their quasi-static limits. These evolutions vastly …