|Table of Contents|

[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()
OVM, GFM及FVDM模型的复杂性与应用性分析

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
OVM, GFM及FVDM模型的复杂性与应用性分析
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
李烨, 王昊, 王炜, 项昀, 丁浩洋
东南大学城市智能交通江苏省重点实验室, 南京 210096; 东南大学现代城市交通技术江苏高校协同创新中心, 南京 210096
Keywords:
car-following complexity applicability trajectory
跟驰 复杂性 应用性 轨迹
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.
对优化速度模型(OVM)、广义力模型(GFM)、全速差模型(FVDM)3种相关跟驰模型的复杂性与适应性进行了研究.采用美国Ⅰ-80高速公路附近30层高楼上所拍摄数字图像, 并提取车辆轨迹数据, 通过3种不同的标定方式对跟驰模型进行了参数标定, 进而从总体、驾驶员间异质性、驾驶员自身异质性3个方面对模型复杂性与应用性进行了对比分析.研究结果表明, OVM, GFM, FVDM三种模型的应用性和复杂度并不具有一致性, 复杂度高的模型在模拟跟驰的应用性上并不一定优于简单模型.研究结果为跟驰行为的建模研究提供了有效信息.

References:

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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]
Last Update: 2015-09-20