Quantum Behaved Particle Swarm Optimization for origin—Destination matrix prediction
Jianfu Du, Lianyu Wei · 2009
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.