Kosmatopoulos, Elias B.
- Conference Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
The majority of practical Large-Scale Traffic Control Systems (LSTCSs) requires the optimization (fine-tuning) of their design parameters. A tremendous amount of human effort and time is spent for optimization of the overall LSTCS, which is usually performed by experienced personnel in the lack of an automated – well established – systematic approach. This paper, investigates the efficiency of the Adaptive Fine-Tuning algorithm, when applied for automated fine-tuning of an urban traffic LSTCS with mutually-interacting control modules, each one with its distinct design parameters. The approach of AFT is based on a recently proposed Adaptive Optimization (AO) methodology that is aiming at replacing the manually-based optimization by a fully-automated procedure and is proven – using rigorous mathematical arguments – to provide with safe and reliable, efficient and rapid optimization of general LSTCSs. Simulations results demonstrate the efficiency of the proposed approach when applied to the simultaneous fine-tuning of two mutually-interacting LSTCS control modules. Show more
Journal / seriesIFAC Proceedings Volumes
Pages / Article No.
SubjectModeling; Control and optimization; Intelligent transportation systems
Organisational unit08686 - Gruppe Strassenverkehrstechnik
02655 - Netzwerk Stadt und Landschaft D-ARCH
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Is previous version of: https://hdl.handle.net/20.500.11850/275925
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