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<record>
  <title>Vehicle-following Model based Mechanical Model of Traffic Flow</title>
  <journal>Journal of Intelligent Computing</journal>
  <author>Bai Yunxiao, Guo Gaihui</author>
  <volume>11</volume>
  <issue>2</issue>
  <year>2020</year>
  <doi>https://doi.org/10.6025/jic/2020/11/2/63-71</doi>
  <url>http://www.dline.info/jic/fulltext/v11n2/jicv11n2_3.pdf</url>
  <abstract>Based on vehicle â€“ following model, we propose a new traffic flow dynamics model from both micro and macro
aspects. The model can overcome some of the problems that exist in the existing kinetic models, such as avoiding the phenomenon
that the traffic jam occurs in the vicinity of the disturbance density, thus exceeding the blockage density. Through design
of examples, the authors also simulated traffic flow under different conditions, which shows the model has good numerical
simulation capabilities, thus proving its theoretical and practical value.</abstract>
</record>
