中国物理B ›› 2012, Vol. 21 ›› Issue (6): 68901-068901.doi: 10.1088/1674-1056/21/6/068901
• GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS • 上一篇 下一篇
毕军, 关伟, 齐龙涛
Bi Jun(毕军)†, Guan Wei(关伟), and Qi Long-Tao(齐龙涛)
摘要: On-line estimation of the state of traffic based on data sampled by electronic detectors is important for intelligent traffic management and control. Because a nonlinear feature exists in the traffic state, and because particle filters have good characteristics when it comes to solving the nonlinear problem, a genetic resampling particle filter is proposed to estimate the state of freeway traffic. In this paper, a freeway section of the northern third ring road in the city of Beijing in China is considered as the experimental object. By analysing the traffic-state characteristics of the freeway, the traffic is modeled based on the second-order validated macroscopic traffic flow model. In order to solve the particle degeneration issue in the performance of the particle filter, a genetic mechanism is introduced into the resampling process. The realization of a genetic particle filter for freeway traffic-state estimation is discussed in detail, and the filter estimation performance is validated and evaluated by the achieved experimental data.
中图分类号: (Land transportation)