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A Cell Automation Traffic Flow Model for Mixed Traffic
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chen, Guangjiao Meng, Fankun Fu, Guolong Deng, Mingyang Li, Ling |
| Copyright Year | 2013 |
| Abstract | Abstract Based on the existing research on cellular automata traffic flow model, this paper proposed an improved model for mixed traffic flow in real-time traffic data environment in China. Driver's characteristic is defined according to the NS model and the FI model. In accordance with the mixed traffic flow, a cellular automaton traffic model is proposed. In this model, vehicles are defined in different lengths and different maximum speed, and mixed on single lane and bi-lane with periodic boundary condition. The traffic flow characteristics are analyzed and discussed by computer numerical simulation. |
| Starting Page | 1412 |
| Ending Page | 1419 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.1016/j.sbspro.2013.08.160 |
| Volume Number | 96 |
| Alternate Webpage(s) | https://core.ac.uk/download/pdf/82118665.pdf |
| Alternate Webpage(s) | https://doi.org/10.1016/j.sbspro.2013.08.160 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
