The Experts below are selected from a list of 133149 Experts worldwide ranked by ideXlab platform
Dong-yuan Cao - One of the best experts on this subject based on the ideXlab platform.
-
Research about Urban Intelligent Traffic Management System
2010 International Conference on Internet Technology and Applications, 2010Co-Authors: Dong-yuan CaoAbstract:Based on the congestion in the cities, the article discussed the advantage and disadvantage between tradition urban Traffic Management and intelligent Traffic Management. The article put forward the design about synthetic urban intelligent Traffic Management based on internet. Intelligent Traffic Management is an efficiency measure. But all the subsystems of the ITS should be considered as a whole. In this way, it can reduce the cost of construction and maintenance, improve the efficiency of resource utilizing.
Ana Garcia-serrano - One of the best experts on this subject based on the ideXlab platform.
-
Multiagent architectures for intelligent Traffic Management systems
Transportation Research Part C: Emerging Technologies, 2002Co-Authors: J. Hernández-gil, Jz Hernández, Sascha Ossowski, Ana Garcia-serranoAbstract:This paper reports our experiences with agent-based architectures for intelligent Traffic Management systems. We describe and compare integrated TRYS and TRYS autonomous agents, two multiagent systems that perform decision support for real-time Traffic Management in the urban motorway network around Barcelona. Both systems draw upon Traffic Management agents that use similar knowledge-based reasoning techniques in order to deal with local Traffic problems. Still, the former achieves agent coordi- nation based on a traditional centralized mechanism, while in the latter coordination emerges upon the lateral interaction of autonomous Traffic Management agents. We evaluate the potentials and drawbacks of both multiagent architectures for the domain, and develop some conclusions respecting the general ap- plicability of multiagent architectures for intelligent Traffic Management.
J. Hernández-gil - One of the best experts on this subject based on the ideXlab platform.
-
Multiagent architectures for intelligent Traffic Management systems
Transportation Research Part C: Emerging Technologies, 2002Co-Authors: J. Hernández-gil, Jz Hernández, Sascha Ossowski, Ana Garcia-serranoAbstract:This paper reports our experiences with agent-based architectures for intelligent Traffic Management systems. We describe and compare integrated TRYS and TRYS autonomous agents, two multiagent systems that perform decision support for real-time Traffic Management in the urban motorway network around Barcelona. Both systems draw upon Traffic Management agents that use similar knowledge-based reasoning techniques in order to deal with local Traffic problems. Still, the former achieves agent coordi- nation based on a traditional centralized mechanism, while in the latter coordination emerges upon the lateral interaction of autonomous Traffic Management agents. We evaluate the potentials and drawbacks of both multiagent architectures for the domain, and develop some conclusions respecting the general ap- plicability of multiagent architectures for intelligent Traffic Management.
Sascha Ossowski - One of the best experts on this subject based on the ideXlab platform.
-
Multiagent architectures for intelligent Traffic Management systems
Transportation Research Part C: Emerging Technologies, 2002Co-Authors: J. Hernández-gil, Jz Hernández, Sascha Ossowski, Ana Garcia-serranoAbstract:This paper reports our experiences with agent-based architectures for intelligent Traffic Management systems. We describe and compare integrated TRYS and TRYS autonomous agents, two multiagent systems that perform decision support for real-time Traffic Management in the urban motorway network around Barcelona. Both systems draw upon Traffic Management agents that use similar knowledge-based reasoning techniques in order to deal with local Traffic problems. Still, the former achieves agent coordi- nation based on a traditional centralized mechanism, while in the latter coordination emerges upon the lateral interaction of autonomous Traffic Management agents. We evaluate the potentials and drawbacks of both multiagent architectures for the domain, and develop some conclusions respecting the general ap- plicability of multiagent architectures for intelligent Traffic Management.
Jz Hernández - One of the best experts on this subject based on the ideXlab platform.
-
Multiagent architectures for intelligent Traffic Management systems
Transportation Research Part C: Emerging Technologies, 2002Co-Authors: J. Hernández-gil, Jz Hernández, Sascha Ossowski, Ana Garcia-serranoAbstract:This paper reports our experiences with agent-based architectures for intelligent Traffic Management systems. We describe and compare integrated TRYS and TRYS autonomous agents, two multiagent systems that perform decision support for real-time Traffic Management in the urban motorway network around Barcelona. Both systems draw upon Traffic Management agents that use similar knowledge-based reasoning techniques in order to deal with local Traffic problems. Still, the former achieves agent coordi- nation based on a traditional centralized mechanism, while in the latter coordination emerges upon the lateral interaction of autonomous Traffic Management agents. We evaluate the potentials and drawbacks of both multiagent architectures for the domain, and develop some conclusions respecting the general ap- plicability of multiagent architectures for intelligent Traffic Management.
