Driver lane-changing behaviours have a significant impact on the safety and the capacity of the vehicle-based traffic system. Therefore, modeling lane-changing maneuvers has become an essential component of driving behaviour analysis. Among microscopic LC models, game theory-based lane-changing models highlight the interaction of drivers, which reveal a more realistic image of driving behaviours compared to other classic models. However, the potential of game theory to describe the human driver’s lane-changing strategies is currently under-estimated. This paper aims to review the recent development of game-theoretic models that are classified according to their different methodologies and features. They are designed for both human-driven an...
In recent years, there has been enormous public interest in autonomous vehicles (AV), with more than...
Interacting with pedestrians remains challenging for autonomous vehicles (AVs). In most current AVs,...
Development of vehicle active steering collision avoidance systems calls for mathematical models cap...
In this study, we propose a lane-changing conflict management model based on game theory for automat...
Pedestrian behaviour understanding is of utmost importance for autonomous vehicles (AVs). Pedestrian...
The decision-making and motion planning play a critical role in the autonomous driving by connecting...
In highway on-ramp sections, the conflictual interactions between a subject vehicle (merging vehicle...
We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffi...
The connected environment provides real-time information about surrounding traffic; such information...
Decision making for lane change manoeuvre is of practical importance to guarantee a smooth, efficien...
This paper attempts to propose a discretionary lane-changing decision-making model based on signalli...
Autonomous Vehicles (AVs) must interact with other road users. They must understand and adapt to com...
The introduction of automated driving systems raised questions about how the human driver interacts ...
Autonomous Vehicles (AVs) must interact with other road users. They must understand and adapt to com...
This paper attempts to propose a discretionary lane-changing decision-making model based on signalli...
In recent years, there has been enormous public interest in autonomous vehicles (AV), with more than...
Interacting with pedestrians remains challenging for autonomous vehicles (AVs). In most current AVs,...
Development of vehicle active steering collision avoidance systems calls for mathematical models cap...
In this study, we propose a lane-changing conflict management model based on game theory for automat...
Pedestrian behaviour understanding is of utmost importance for autonomous vehicles (AVs). Pedestrian...
The decision-making and motion planning play a critical role in the autonomous driving by connecting...
In highway on-ramp sections, the conflictual interactions between a subject vehicle (merging vehicle...
We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffi...
The connected environment provides real-time information about surrounding traffic; such information...
Decision making for lane change manoeuvre is of practical importance to guarantee a smooth, efficien...
This paper attempts to propose a discretionary lane-changing decision-making model based on signalli...
Autonomous Vehicles (AVs) must interact with other road users. They must understand and adapt to com...
The introduction of automated driving systems raised questions about how the human driver interacts ...
Autonomous Vehicles (AVs) must interact with other road users. They must understand and adapt to com...
This paper attempts to propose a discretionary lane-changing decision-making model based on signalli...
In recent years, there has been enormous public interest in autonomous vehicles (AV), with more than...
Interacting with pedestrians remains challenging for autonomous vehicles (AVs). In most current AVs,...
Development of vehicle active steering collision avoidance systems calls for mathematical models cap...