Evolutionary Signal Coordination Algorithm for Arterial Traffic Control
Date Issued
2008
Date
2008
Author(s)
Yang, Tsu-Wei
Abstract
The arterial system is the important part of the traffic network in the urban, so the traffic engineers often divide the network system into the isolated intersection or arterial system with the experience rule. Then, make optimal design at all intersection iming plan in the subsystem. Finally, combine and adjustment the timing plan of all intersections in the system. However, many of the optimization timing design software or dynamic timing control research are neglect the different of traffic type of every intersection in the system. They are not deep research the most important system partition problem in the timing design process.f the intersections of every subsystem are designed the offset by absolute offset after system partition, this method is unable to design the both intersections offset among difference groups. This research design each intersection offset by relative offset, and derive a “the expected value of progressive intersection number model”. This research is for the sake of improving the traditional bandwidth method which is unable to accord with progression demand of every intersection to assign the progression ability effectively, and know the vehicles’ real progression ability in the arterial system.his research designs a programming system that can input traffic parameter and produce the optimal timing plan dynamically, in order to accord with the efficiency of the dynamic timing control system produces the optimal timing plan, and avoid the calculation result is local extreme value. This paper adopts genetic algorithms as the operation core in this programming system. The suitable genetic algorithms structure is made according to every characteristic of subsystem. Base on minimum delay produce each intersection optimal cycle time and split time. According to the progress indicator, to divide system and design the optimal offset. Finally, dynamic produce the optimal timing plan of the arterial system.
Subjects
timing control
system partition
relative offset
the expected value of progressive intersection number
genetic algorithms
Type
thesis
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