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Cellular Automation Model of Traffic Flow Based on the Car-Following Model |
LI Ke-Ping;GAO Zi-You |
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044 |
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Cite this article: |
LI Ke-Ping, GAO Zi-You 2004 Chin. Phys. Lett. 21 2120-2123 |
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Abstract We propose a new cellular automation (CA) traffic model that is based on the car-following model. A class of driving strategies is used in the car-following model instead of the acceleration in the NaSch traffic model. In our model, some realistic driver behaviour and detailed vehicle characteristics have been taken into account, such as distance-headway and safe distance, etc. The simulation results show that our model can exhibit some traffic flow states that have been observed in the real traffic, and both of the maximum flux and the critical density are very close to the real measurement. Moreover, it is easy to extend our method to multi-lane traffic.
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Keywords:
05.40.-a
89.40.+k
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Published: 01 November 2004
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PACS: |
05.40.-a
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(Fluctuation phenomena, random processes, noise, and Brownian motion)
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89.40.+k
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