| Autor: |
Chenqiang Zhu, Shiquan Zhong, Shoufeng Ma |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Communications in Nonlinear Science and Numerical Simulation. 73:229-243 |
| ISSN: |
1007-5704 |
| DOI: |
10.1016/j.cnsns.2019.02.010 |
| Popis: |
As a common behavior, lane changing has a significant influence on traffic flow. Lane changing is heavily dependent on the surrounding environment, so having a constant lane-changing rate in a traffic flow model would be unreasonable. Through an analysis of three empirical lane-changing datasets, we find that the lane-changing rate depends on traffic density. The structure of the lane-changing rate is similar to an optimization velocity function. We propose a new two-lane lattice model by modifying the lane-changing rate in the conservation equation. The linear stability of the new model and the effects of the parameters in the lane-changing rate on linear stability are analyzed through theory and simulation. Moreover, the new model and Nagatani's two-lane model are compared with actual observation results, which shows that the new model can better reproduce the observation results. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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