Year
2013
Degree Name
Master of Computer Science - Research
Department
School of Computer Science and Software Engineering
Recommended Citation
Nghi, Tran Viet Nhan, Distributed optimisation for traffic management, Master of Computer Science - Research thesis, School of Computer Science and Software Engineering, University of Wollongong, 2013. https://ro.uow.edu.au/theses/4827
Abstract
This thesis reports on the development of a multi-agent approach to distributed traffic optimisation. In particular, I propose a solution to the dynamic traffic assignment problem in a decentralised manner and then I introduce the new infrastructurelessly decentralised traffic information system. By using this system, each vehicle agent is able to update the current traffic condition through vehicle-to-vehicle communication. For solving dynamic traffic assignment problem, I propose a novel completely decentralised multi-agent coordination algorithm, which is a synergy between dynamic distributed constraint optimisation problem (DynDCOP) algorithm and auction. Using this algorithm, vehicle agent is able to reduce its individual travel time as well as total travel time of overall system. This simulation is carried out in order to evaluate different traffic planning algorithms that include decentralised uncoordination, centralised coordination and decentralised coordination algorithms. Finally, the experimental results show that the performance of proposed decentalised coorindation algorithm is high in comparison to centralised coordination algorithm.
FoR codes (2008)
0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.