Affordance, conventions, and design
interactions
Agents in Traffic Modelling - From Reactive to Social Behaviour
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Steering Behaviors for Autonomous Vehicles in Virtual Environments
VR '05 Proceedings of the 2005 IEEE Conference 2005 on Virtual Reality
The human agent virtual environment
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Anticipation based on constraint processing in a multi-agent context
Autonomous Agents and Multi-Agent Systems
Egocentric affordance fields in pedestrian steering
Proceedings of the 2009 symposium on Interactive 3D graphics and games
Case studies of applying Gibson's ecological approach to mobile robots
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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To improve the validity of traffic simulations in urban and suburban areas, we propose to consider the driving context and the driver behavior in terms of space occupation. We endow agent driver with an ego-centered representation of the environment. This representation permits the agent to take a decision in terms of space occupation. Our agent driver model is based on the concept of affordances - the ways in which an agent can interact with its environment. First, we use the concept of affordances to identify the possible actions, in terms of space occupation, afforded by the environment. Second, we use an ego-centered representation of the situation around the agent, composed by the identified affordances. The proposed driver model was implemented with ArchiSim and the experiments show that this model makes traffic more fluid.