Title :
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
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;
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
DOI :
10.1109/PEITS.2009.5407052
