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Experimental study and modeling of car-following behavior under high speed situation
Affiliation:1. Institute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin 300072, China;2. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;2. University of New South Wales, Civil Engineering Building (Kensington Campus), Sydney, NSW 2052, Australia;3. Texas A&M University, 301E Dwight Look Engineering Building, College Station TX 77843, USA;4. Technical University of Dresden, Lockwitztalstraße 12, Dresden 01259, Germany
Abstract:To investigate the car-following behavior under high speed driving conditions, we performed a set of 11-car-platoon experiments on Hefei airport highway. The formation and growth of oscillations have been analyzed and compared with that in low speed situations. It was found that there is considerable heterogeneity for the same driver over different runs of the experiment. This intra-driver heterogeneity was quantitatively depicted by a new index and incorporated in an enhanced two-dimensional intelligent driver model. Using both the new high-speed and the previous low-speed experimental data, the new and three existing models were calibrated. Simulation results show that the enhanced model outperforms the three existing car-following models that do not take into account this intra-driver heterogeneity in reproducing the essential features of the traffic in the experiments.
Keywords:Traffic flow  Car-following  Traffic oscillation evolution  Intra-driver heterogeneity
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