吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (3): 761-768.doi: 10.13229/j.cnki.jdxbgxb201503012

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Heterogeneous car following models based on data analysis

JING Ming1, 2, WANG Hao3, WANG Wen-jing1, 2   

  1. 1.National Center of ITS Engineering and Technology,Research Institute of Highway Ministry of Transport, Beijing 100088, China;
    2.Key Laboratory of Technology on Intelligent Transportation Systems, Research Institute of Highway Ministry of Transport,Beijing 100088, China;
    3.School of Transportation, Southeast University, Nanjing 210096, China
  • Received:2013-09-02 Online:2015-05-01 Published:2015-05-01

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Abstract: Based on the model parameters the characterization factor is defined. Then according to the definition, a method is developed to analyze the vehicle characteristics using observed data. The method consists of five steps: named data collection, data processing and parameter calibration, parameter correlation analysis, characterization factor calculation, and characterization distribution study. Once the characterization factor distribution is known, traffic simulation based on vehicle characteristics can be conducted with conversion of characterization factor and model parameters. With Optimal Velocity Model (OVM) and Intelligent Driver Model (IDM), a study on vehicle characteristics is conducted using the data collected in Nanjing. A heterogeneous IDM model is proposed and used for simulation based on driver-vehicle characteristics.

Key words: engineering of communications and transportation system, heterogeneous car following model, correlation analysis, numerical simulation

CLC Number: 

  • U491
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