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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Modelling Of
Stochastic Parameters For Control Of City Electric Transport Systems Using
Evolutionary Algorithm |
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Authors: |
Mikhail Gorobetz,
Anatoly Levchenkov |
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Published in:
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ECMS
2008 Proceedings Edited
by: Loucas S. Louca, Yiorgos Chrysanthou, Zuzana Oplatkova, Khalid Al-Begain ISBN:
978-0-9553018-6-5 Doi: 10.7148/2008 22nd
European Conference on Modelling and Simulation, Nicosia, June
3-6, 2008 |
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Citation
format: |
Gorobetz, M., & Levchenkov,
A. (2008). Modelling Of Stochastic Parameters For
Control Of City Electric Transport Systems Using Evolutionary Algorithm. ECMS
2008 Proceedings edited by: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain (pp. 207-212).
European Council for Modeling and Simulation. doi:10.7148/2008-0207 |
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DOI: |
http://dx.doi.org/10.7148/2008-0207 |
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Abstract: |
This
work is based on research in a field of intelligent agent systems,
negotiation algorithm solving tasks of energy saving, optimal electric
vehicle control and transport flow control in traffic jam. Main
goal of research is energy saving for public electric transport. Mathematical
model and evolutionary algorithm is proposed in the paper to solve
multi-criteria optimization task minimizing idle time and electric energy
used by public electric transport and maximize average speed of the flow in
traffic jam. Paper presents a computer
experiment to test proposed mathematical model and workability of
evolutionary algorithm. The specific dynamic model with stochastic parameters
of city transport system is created and results of evolutionary optimization are
simulated. |
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