[1] Li Ye, Wang Hao, Wang Wei, Xiang Yun, et al. Complexity and applicability analysis among OVM, GFMand FVDM models [J]. Journal of Southeast University (English Edition), 2015, 31 (3): 424-426. [doi:10.3969/j.issn.1003-7985.2015.03.022]

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Complexity and applicability analysis among OVM, GFMand FVDM models()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

31

Issue:

2015 3

Page:

424-426

Research Field:

Traffic and Transportation Engineering

Publishing date:

2015-09-20

Info

Title:

Complexity and applicability analysis among OVM, GFMand FVDM models

Author(s):

Li Ye;  Wang Hao;  Wang Wei;  Xiang Yun;  Ding Haoyang

Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technology, Southeast University, Nanjing 210096, China

Keywords:

car-following;  complexity;  applicability;  trajectory

PACS:

U491

DOI:

10.3969/j.issn.1003-7985.2015.03.022

Abstract:

The complexity and applicability of three relative car-following models are investigated and they are the optimal velocity model(OVM), the generalized force model(GFM)and the full velocity difference model(FVDM). The vehicle trajectory data used is collected from the digital pictures obtained at a 30-storey building near Ⅰ-80 freeway. Three different calibrating methods are used to estimate the model parameters and to study the relationships between model complexity and applicability from overall, inter-driver and intra-driver analysis. Results of the three methods of the OVM, GFM and FVDM show that the complexity and applicability are not consistent and the complicated models are not always superior to the simple ones in modeling car-following. The findings of this study can provide useful information for car-following behavior modeling.

References:

[1] Brackstone M, McDonald M. Car-following: a historical review [J]. Transportation Research Part F: Traffic Psychology and Behaviour, 1999, 2(4): 181-196.
[2] Gazis D C, Herman R, Potts R B. Car-following theory of steady-state traffic flow [J]. Operations Research, 1959, 7(4): 499-505.
[3] Ossen S, Hoogendoorn S P, Gorte B G H. Inter-driver differences in car-following: a vehicle trajectory-based study [J]. Transportation Research Record, 2006, 1965: 121-129.
[4] Wang H, Wang W, Chen J, et al. Using trajectory data to analyze intra-driver heterogeneity in car-following [J]. Transportation Research Record, 2010, 2188: 85-95.
[5] Kesting A, Treiber M. Calibrating car-following models by using trajectory data: methodological study [J]. Transportation Research Record, 2008, 2088: 148-156.
[6] Bando M, Hasebe K, Nakayama A, et al. Dynamical model of traffic congestion and numerical simulation[J]. Physical Review E, 1995, 51(2): 1035-1042.
[7] Helbing D, Tilch B. Generalized force model of traffic dynamics [J]. Physical Review E, 1998, 58(1): 133-138.
[8] Jiang R, Wu Q, Zhu Z. Full velocity difference model for a car-following theory [J]. Physical Review E, 2001, 64(1): 017101-1-017101-4.
[9] Punzo V, Simonelli F. Analysis and comparison of microscopic traffic flow models with real traffic microscopic data [J]. Transportation Research Record, 2005, 1934: 53-63.

Memo

Memo:

Biographies: Li Ye(1992—), male, graduate; Wang Hao(corresponding author), male, doctor, associate professor, haowang@seu.edu.cn.
Foundation items: The National Basic Research Program of China(973 Program)(No.2012CB725402), the National Natural Science Foundation of China(No.51478113).
Citation: Li Ye, Wang Hao, Wang Wei, et al.Complexity and applicability analysis among OVM, GFM and FVDM models[J].Journal of Southeast University(English Edition), 2015, 31(3):424-426.[doi:10.3969/j.issn.1003-7985.2015.03.022]

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