Abstract
This paper puts forward a method for calculating the opti- mum duration for every group of intersection controllers working on the same cycle. It uses a process of deep reasoning to deal with problems re- lated to uncertainty and unavailability of sensor data. Furthermore, this process is constrained by soft temporal deadlines. Its execution can be disturbed by interactions of other agents or by external control actions performed by the human operator. The method is implemented as the primary task of an agent which collaborates with other agents to deal with various open problems concerning urban traffic. This paper shows that its execution, in isolation or together with other agents, is stable and provides suitable results.
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Garcíal, L.A., Toledo, F. (2001). An Agent for Providing the Optimum Cycle Length Value in Urban Traffic Areas Constrained by Soft Temporal Deadlines. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_66
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DOI: https://doi.org/10.1007/3-540-45517-5_66
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