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Applying the maximum information principle to cell transmission model of traffic flow

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Abstract

This paper integrates the maximum information principle with the Cell Transmission Model (CTM) to formulate the velocity distribution evolution of vehicle traffic flow. The proposed discrete traffic kinetic model uses the cell transmission model to calculate the macroscopic variables of the vehicle transmission, and the maximum information principle to examine the velocity distribution in each cell. The velocity distribution based on maximum information principle is solved by the Lagrange multiplier method. The advantage of the proposed model is that it can simultaneously calculate the hydrodynamic variables and velocity distribution at the cell level. An example shows how the proposed model works. The proposed model is a hybrid traffic simulation model, which can be used to understand the self-organization phenomena in traffic flows and predict the traffic evolution.

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Author information

Authors and Affiliations

  1. Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai, 200072, China

    Xi-min Liu  (刘喜敏)

  2. Traffic and Transportation Engineering College and Key Laboratory of Road Structure and Material of Communication Ministry, Changsha University of Science and Technology, Changsha, 410114, China

    Xi-min Liu  (刘喜敏)

  3. Traffic and Transportation Engineering College, Changsha University of Science and Technology, Changsha, 410114, China

    Shou-feng Lu  (卢守峰)

Authors
  1. Xi-min Liu  (刘喜敏)
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  2. Shou-feng Lu  (卢守峰)
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Corresponding author

Correspondence to Xi-min Liu  (刘喜敏).

Additional information

Project supported by the National Natural Science Foundation of China (Grant No. 71071024), the Hunan Provincial Natural Science Foundation (Grant No.12JJ2025).

Biography: Liu Xi-min (1980-), Female, Ph. D. Candidate, Lecturer

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Liu, Xm., Lu, Sf. Applying the maximum information principle to cell transmission model of traffic flow. J Hydrodyn 25, 725–730 (2013). https://doi.org/10.1016/S1001-6058(13)60418-7

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  • DOI: https://doi.org/10.1016/S1001-6058(13)60418-7

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