Monica Patrascu
Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Romania
Vlad Constantinescu
Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Romania / Institute of Space Science, Bucharest, Romania
Andreea Ion
Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Romania
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http://dx.doi.org/10.3384/ecp17142243Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:35, p. 243-250
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
Emergency officers could often benefit from a route planning system that is based on constant traffic monitoring and complex decision making, seeking to give victims another breath of hope by assisting emergency units with reaching them on time. The main challenge is providing responses in a continuously evolving environment within a prescribed time frame, while using limited resources and information that is often incomplete or uncertain. This paper presents a route control concept for emergency vehicles through urban traffic. The proposed genetic controller is designed to dynamically reassess the route while the vehicle passes through the road network, continuously generating new routes based on current traffic. The algorithm is tested in an agent based simulation model that includes both traffic participants and a distributed traffic control system.
genetic algorithm, emergency response, control systems, distributed control, agent based simulation model
