Citation

Tympakianaki A, Spiliopoulou AD, Kouvelas A, Papageorgiou M. Procedia Soc. Behav. Sci. 2012; 48: 1545-1556.

Copyright

(Copyright © 2012, Elsevier Publishing)

DOI

10.1016/j.sbspro.2012.06.1130

PMID

unavailable

Abstract

Work zones on motorways necessitate the drop of one or more lanes which may lead to significant reduction of traffic flow capacity and efficiency, traffic flow disruptions, congestion creation, and increased accident risk. Real-time traffic control by use of green-red traffic signals at the motorway mainstream is proposed in order to achieve safer merging of vehicles entering the work zone and, at the same time, maximize throughput and reduce travel delays. A particular issue addressed in this research is the investigation of the appropriate distance between the merge area and the traffic lights so as to lead, in combination with the employed real-time traffic control strategy, to the most efficient merging of vehicles. The control strategy applied for real-time signal operation is an ALINEA-like PI-type feedback regulator. In order to achieve maximum performance of the control strategy, some calibration of the regulator's parameters may be necessary. The calibration is first conducted manually, via a typical trial-and-error procedure. In an additional investigation, the recently proposed learning/adaptive algorithm AFT is employed in order to automatically fine-tune the regulator parameters. Experiments conducted with a microscopic simulator for a hypothetical work zone infrastructure, demonstrate the potential high benefits of the control scheme.