DocumentCode :
1950498
Title :
Control design for nodes in decentralized traffic networks with delayed traffic information
Author :
Wior, Ireneus ; Aligoudarzi, Mohsen Mirza ; Fay, Alexander ; Gorges, Daniel ; Liu, Siyuan
Author_Institution :
Inst. of Autom. Technol., Helmut Schmidt Univ., Hamburg, Germany
fYear :
2013
fDate :
10-13 Sept. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Decentralized control approaches arise as promising solutions to cope with the high complexity of interconnected networks such as in the traffic domain. Leaving the control of traffic flow in the hands of distributed traffic nodes opens up the potential for a more efficient network utilization and a higher adaptability to changing traffic conditions. However, some control approaches based on decentralized information handling will introduce information delays which can result in suboptimal system performance and unintended effects such as oscillating traffic flows and traffic congestions. This paper compares the performance of a robust PI control approach without and with Smith predictor for an automated traffic control node with delayed traffic information. Results are validated with a realistic traffic simulation tool.
Keywords :
PI control; control system synthesis; decentralised control; distributed control; predictive control; road traffic control; robust control; Smith predictor; automated traffic control node; control design; decentralized control; decentralized information handling; decentralized traffic network nodes; delayed traffic information; distributed traffic nodes; information delays; interconnected networks; network utilization; oscillating traffic flows; robust PI control; suboptimal system performance; traffic congestions; traffic simulation tool; Adaptation models; Analytical models; Data models; Delay effects; Mathematical model; Robustness; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
Conference_Location :
Cagliari
ISSN :
1946-0740
Print_ISBN :
978-1-4799-0862-2
Type :
conf
DOI :
10.1109/ETFA.2013.6648077
Filename :
6648077
Link To Document :
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