Pedestrian models for autonomous driving part ii: high-level models of human behavior
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
A survey of cyber-physical systems from a game-theoretic perspective
With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …
Pedestrian support in intelligent transportation systems: challenges, solutions and open issues
The increased urbanization and the drive for realizing smart cities have motivated extensive
research and development in the realm of Intelligent Transportation Systems (ITS) in order to …
research and development in the realm of Intelligent Transportation Systems (ITS) in order to …
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 …
Negotiation and decision-making for a pedestrian roadway crossing: A literature review
The interaction among pedestrians and human drivers is a complicated process, in which
road users have to communicate their intentions, as well as understand and anticipate the …
road users have to communicate their intentions, as well as understand and anticipate the …
Interaction of automated driving systems with pedestrians: Challenges, current solutions, and recommendations for eHMIs
The conventional form of traffic interaction undergoes a notable change with the integration
of automated driving systems as a new road user, into the public roads. This may be more …
of automated driving systems as a new road user, into the public roads. This may be more …
A cooperative multiagent system for traffic signal control using game theory and reinforcement learning
M Abdoos - IEEE Intelligent Transportation Systems Magazine, 2020 - ieeexplore.ieee.org
Agent-based systems are widely used in urban traffic network modeling. Cooperation is an
important feature of multiagent systems (MASs), especially those that are used in a dynamic …
important feature of multiagent systems (MASs), especially those that are used in a dynamic …
Learning game-theoretic models of multiagent trajectories using implicit layers
P Geiger, CN Straehle - Proceedings of the AAAI Conference on …, 2021 - ojs.aaai.org
For prediction of interacting agents' trajectories, we propose an end-to-end trainable
architecture that hybridizes neural nets with game-theoretic reasoning, has interpretable …
architecture that hybridizes neural nets with game-theoretic reasoning, has interpretable …
Space invaders: Pedestrian proxemic utility functions and trust zones for autonomous vehicle interactions
Understanding pedestrian proxemic utility and trust will help autonomous vehicles to plan
and control interactions with pedestrians more safely and efficiently. When pedestrians cross …
and control interactions with pedestrians more safely and efficiently. When pedestrians cross …
Interact or counteract? Behavioural observation of interactions between vulnerable road users and automated shuttles in Oslo, Norway
T De Ceunynck, B Pelssers, T Bjørnskau… - Traffic safety …, 2022 - research.tudelft.nl
The current paper presents the results of behavioural observations in a field experiment with
automated shuttles in Oslo, Norway. Video observations were conducted at five fixed …
automated shuttles in Oslo, Norway. Video observations were conducted at five fixed …