Experimental study and modeling of car-following behavior under high speed situation
To investigate the car-following behavior under high speed driving conditions, the authors 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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
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Supplemental Notes:
- © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Huang, Yong-Xian
- Jiang, Rui
- Zhang, H M
- Hu, Mao-Bin
- 0000-0001-5903-1678
- Tian, Jun-Fang
- Jia, Bin
- Gao, Zi-You
- Publication Date: 2018-12
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 194-215
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Serial:
- Transportation Research Part C: Emerging Technologies
- Volume: 97
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0968-090X
- Serial URL: http://www.sciencedirect.com/science/journal/0968090X
Subject/Index Terms
- TRT Terms: Car following; Experiments; Simulation; Speed; Traffic flow; Traffic models; Traffic platooning
- Uncontrolled Terms: Traffic oscillations
- Geographic Terms: Hefei (China)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01689109
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 19 2018 4:52PM