A behavioral car-following model that captures traffic oscillations

作者：Chen Danjue; Laval Jorge^*; Zheng Zuduo; Ahn Soyoung

来源：Transportation Research Part B: Methodological , 2012, 46(6): 744-761.

DOI：10.1016/j.trb.2012.01.009

• Traffic oscillations
• Car-following behavior
• Reaction to oscillations
• Driver heterogeneity
• Rubbernecking

This paper presents a behavioral car-following model based on empirical trajectory data that is able to reproduce the spontaneous formation and ensuing propagation of stop-and-go waves in congested traffic. By analyzing individual drivers%26apos; car-following behavior throughout oscillation cycles it is found that this behavior is consistent across drivers and can be captured by a simple model. The statistical analysis of the model%26apos;s parameters reveals that there is a strong correlation between driver behavior before and during the oscillation, and that this correlation should not be ignored if one is interested in microscopic output. If macroscopic outputs are of interest, simulation results indicate that an existing model with fewer parameters can be used instead. This is shown for traffic oscillations caused by rubbernecking as observed in the US 101 NGSIM dataset. The same experiment is used to establish the relationship between rubbernecking behavior and the period of oscillations. Published by Elsevier Ltd.

• 出版日期2012-7