Quantum Behaved Particle Swarm Optimization for origin—Destination matrix prediction

Author

Du, Jianfu ; Wei, Lianyu

Author_Institution

Inst. of Civil Eng., Hebei Univ. of Technol., Tianjin, China

Volume

1

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

133

Lastpage

136

Abstract

It is difficult to obtain the satisfactory solution because traffic information is far less than the number of OD variables. This paper presents a method based on quantum-behaved particle swarm optimization (QPSO) algorithm to obtain the global optimal solution. It designs the method based on QPSO algorithm to solve the OD matrix prediction model, lists the detailed steps and points out how to choose the PSO operator. And then uses MATLAB programming language to carry out the simulation test. The simulation results show that the method has higher efficiency and accuracy.

Keywords

mathematics computing; maximum entropy methods; particle swarm optimisation; quantum computing; traffic control; MATLAB programming language; global optimal solution; origin-destination matrix prediction; quantum behaved particle swarm optimization; simulation test; Entropy; Intelligent transportation systems; Lighting control; Mathematical model; Particle swarm optimization; Power electronics; Power engineering and energy; Predictive models; Roads; Traffic control; optimization; origin—destination matrix prediction; quantum behaved particle swarm optimization (QPSO); simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-4544-8

Type

conf

DOI

10.1109/PEITS.2009.5407052

Filename

5407052