Experimental study and modeling of car-following behavior under high speed situation. (December 2018)

• Record Type: Journal Article
• Authors: Huang, Yong-Xian; Jiang, Rui; Zhang, HM; Hu, Mao-Bin; Tian, Jun-Fang; Jia, Bin; Gao, Zi-You
• Is Part Of: Transportation research. Volume 97(2018)
• Page Start: 194
• Page End: 215
• Publication Date: 2018-12
• Subjects: Traffic flow -- Car-following -- Traffic oscillation evolution -- Intra-driver heterogeneity; Transportation -- Periodicals; Transportation -- Technological innovations -- Periodicals; 388.011
• DOI: 10.1016/j.trc.2018.10.022
• Languages: English
• ISSNs: 0968-090X

Abstract

Highlights: We carried out a set of car-following experiment to investigate the car-following behavior under high speed situation. Considerable heterogeneity for the same driver has been found. The intra-driver heterogeneity was quantitatively depicted by a new index. We propose an Enhanced Two Dimensional Intelligent Driver Model. The new and three existing models were calibrated. The enhanced model outperforms the three existing car-following models. 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.