Ant algorithms for discrete optimization
Artificial Life
Evolving adaptive pheromone path planning mechanisms
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Digital pheromone mechanisms for coordination of unmanned vehicles
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A Realistic Simulation for Highway Traffic by the Use of Cellular Automata
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
Performance of digital pheromones for swarming vehicle control
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Pheromone model: application to traffic congestion prediction
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Autonomic communication services: a new challenge for software agents
Autonomous Agents and Multi-Agent Systems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Interpolation System of Traffic Condition by Estimation/Learning Agents
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Multiagent based interpolation system for traffic condition by estimation/learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Industry track
A simulation-based investigation of a dynamic advanced traveler information system
Winter Simulation Conference
A control method with pheromone information for a transport system
Artificial Life and Robotics
Swarm-based multi-agent simulation: a case study of urban traffic flow in the city of wroclaw
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Simulation of coordinated anticipatory vehicle routing strategies on MATSim
PRIMA'11 Proceedings of the 14th international conference on Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing
Fusing Traffic Sensor Data for Real-time Road Conditions
Proceedings of First International Workshop on Sensing and Big Data Mining
Ant colony optimisation for vehicle traffic systems: applications and challenges
International Journal of Bio-Inspired Computation
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Social insects perform complex tasks without top-down-style control, by sensing and depositing chemical markers called "pheromone". We have examined applications of this pheromone paradigm towards realizing intelligent transportation systems (ITS). Many of the current traffic management approaches require central processing with the usual risks of overload, bottlenecks and delay. Our work points towards a more decentralized approach that may overcome those risks. We use new category of the ITS infrastructure called the probe-car system. The probe-car system is an emerging data collection method, in which a number of vehicles are used as moving sensors to detect actual traffic situations. In this paper, a car is regarded as a social insect that deposits multi-semantics of (digital) pheromone on the basis of sensed traffic information. We have developed a basic model for predicting traffic congestion in the immediate future using pheromone. In the course of our experimentation, we have identified the need to properly tune the model to achieve acceptable performance. Therefore, we refined the model for practical use. We evaluate our method using real-world traffic data and results indicate applicability to prediction. Furthermore, we describe the practical implications of this method in the real world.