基于交通流实测数据的加速度研究

尹凯弘; 吴正; 郭明旻

doi:10.6052/0459-1879-14-213

基于交通流实测数据的加速度研究

doi: 10.6052/0459-1879-14-213

复旦大学力学与工程科学系, 上海200433

基金项目: 国家自然科学基金资助项目(11002035, 10772050, 11372147).

详细信息

通讯作者:
郭明旻,讲师,主要研究方向:交通流,实验流体力学.E-mail:mmguo@fudan.edu.cn

中图分类号: O39;U491.112
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- 文章访问数: 1123
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- 被引次数: 0
出版历程
- 收稿日期: 2014-07-17
- 修回日期: 2014-12-17
- 刊出日期: 2015-03-18

STUDY ON THE ACCELERATION OF TRAFFIC FLOW BASED ON THE EMPIRICAL DATA

(Department of Mechanics and Engineering Science, Fudan University, Shanghai 200433, China

Funds: The project was supported by the National Natural Science Foundation of China (11002035, 10772050, 11372147).

摘要

摘要: 采用6 个不同密度下的交通流样本, 从视频中提取大量跟驰车对的车头间距、车速、加速度和速度差数据. 统计分析发现, 加速度值域关于0 点具有对称性; 不同密度下加速度分布具有不同特征; 车头间距、车速和速度差对加速度的影响程度随密度不同而不同. 利用实测数据对GM 模型和Bando 模型进行参数优化, 据此提出一种GM 模型的简化形式和一种改进的Bando 模型, 两者拟合该文实测数据的平均误差都在6% 以下.
- 交通流 /
- 实测 /
- 跟驰模型 /
- 加速度
Abstract: By extracting data from six clips of traffc flow videos taken from Yan'an Viaduct in Shanghai, totally 4132 pieces data of velocity, headway, acceleration and velocity difference of car-following were obtained. Statistical analyses show that the value domain of acceleration is symmetric with respect to zero. In the synchronized or congesting flow, the acceleration obeys the normal distribution. While in the free flow, the distribution of acceleration has strong randomness and more amount of data with large absolute value. At different traffc flow densities, the impacts of headway, velocity and velocity difference are of different importance. Moreover, even in the same situation, these impacts on the acceleration and deceleration di er. The qualitative and quantitative levels of these impacts were summarized. The GM model and Bando model were optimized by using the empirical data. In the GM model, the parameters β and γ have little influence on the optimization result, therefore we proposed a simplified GM model without them. In order to overcome the asymmetry of the value domain of acceleration in Bando model, we proposed an improved model introducing a new parameter to reflect the desired headway. Both of the average fitting errors of these two new models are lower than 6%.
- traffc flow /
- empirical data /
- car-following model /
- acceleration

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参考文献(36)

Greenshields BD. A study of traffic capacity. Highway Research Board Proceedings, 1934, 14: 448-477

Lighthill MJ, Whitham GB. On kinematic waves II: A theory of traffic flow on long crowded roads. Proc of the Loyal Society of London A, 1955, 229(1178): 317-345

Richards PI. Shock waves on the highway. Operations Research, 1956, 4: 42-51

Reuschel R. Fahrzeugbewegungen in der Kolonne. Osterreichisches Ingenieur Archiv, 1950, 4: 193-215

Pipes LA. An operational analysis of traffic dynamics. Journal of Applied Physics, 1953, 24(3): 274-281

Chandler R, Herman R, Montroll EW. Traffic dynamics: studies in car following. Operations Research, 1958, 6: 165-184

Gazis D, Herman R, Potts B. Car following theory of steady-state traffic flow. Operations Research, 1959, 7: 499-505

Gazis D, Herman R, Rothery RW. Nonlinear follow-the-leader models of traffic flow. Operations Research, 1961, 9: 545-567

Herman R, Rothery RW. Car following and steady-state flow. In: J. Almond ed. Proceedings of the 2nd International Symposium on the Theory of Traffic Flow. Organization for Economic Co-operation and Development (OECD), Paris. 1965. 1-11

Bexelius S. An extended model for car following. Transportation Research, 1968, 2: 13-21

Newell G. Nonlinear effects in the dynamics of car following. Operations Research, 1961, 9: 209-229

Kometani E, Sasaki T. On the stability of traffic flow. Journal of Operations Research——Japan, 1958, 2: 11-26

Kometani E, Sasaki T. Dynamic behaviour of traffic with a nonlinear spacing-speed relationship. In: Proceedings of the Symposium on Theory of Traffic Flow. New York, NY: Elsevier, 1959. 105-119

Bando M, Hasebe K, Nakayama A. Dynamical model of traffic congestion and numerical simulation. Physical Review E, 1995, 51: 1035-1042

Treiber M, Hennecke A, Helbing D. Congested traffic states in empirical observation and numerical simulations. Physical Review E, 2000, 62: 1805-1824

Treiber M, Helbing D. Memory effects in microscopic traffic models and wide scattering in flow-density data. Physical Review E, 2003, 68: 046119

Toledo T. Driving Behaviour: Models and challenges. Transport Reviews, 2007, 27(1): 65-84

Payne HJ. Models of freeway traffic and control. Simulation Council Proc, 1971, 1: 51-61

Payne HJ. FREFLO: A macroscopic simulation model of freeway traffic. Transpn Res R, 1979, 772: 68-75

吴正. 低速混合型城市交通的流体力学模型. 力学学报, 1994, 26(1): 149-157 (Wu Zheng. A fluid dynamics model for the low speed traffic systems. Acta Mechanica Sinica, 1994, 26(1): 149-157 (in Chinese))

Daganzo CF. Requiem for second-order approximations of traffic flow. Transpn Res B, 1995, 29: 277-286

Zhang HM. A nonequilibrium traffic model devoid of gas-like behavior. Transpn Res B, 2002, 36: 275-290

Jiang R, Wu QS, Zhu ZJ. A new continuum model for traffic flow and numerical tests. Transpn Res B, 2002, 36: 405-419

Cambridge Systematics. NGSIM BHL Data Analysis, Summary Report, Federal Highway Administration. http://ngsim.casys.com/. 2004

Moridpour S, Rose G, Sarvi M. Effect of surrounding traffic characteristics on lane changing behavior. J Transpn Eng, 2010, 136(11): 973-985

Moridpour S, Rose G, Sarvi M. Influence of the surrounding traffic characteristics on lane changing decision of heavy vehicle drivers. Road and Transport Res, 2012, 21(3): 19-33

Moridpour S, Sarvi M, Rose G. Lane changing models——A critical review. Transpn Letter: Int J Transp Res, 2010, 2: 157-173

Aghabayk K, Sarvi M, Young W. Understanding the dynamics of heavy vehicle interactions incar-following. J Transpn Eng, 2012, 138(12): 1468-1475

吴正, 朱辉, 贾楠. 基于快速路交通录像的交通流模型参数测量方法研究. 复旦学报(自然科学版), 2008, 47(2): 147-152 (Wu Zheng, Zhu Hui, Jia Nan. Measuring Method Study of the Traffic Flow Model Parameters Based on Video Recording of Expressway Traffic. Journal of Fudan University (Natural Science), 2008, 47(2): 147-152 (in Chinese))

Zheng X, Wu Z, Xu S, et al. Video-based measurement and data analysis on traffic flow of urban expressway. Acta Mech Sinica, 2011, 27(3): 346-353

林展熙, 吴正, 杨朝晖等. 基于上海延安高架录像资料的交通流实测研究. 水动力学研究与进展A, 2010, 25(5): 683-693 (Lin Zhanxi, Wu Zheng, Yang Chaohui, et al. A study on traffic flow models based on measure video of Yanan Expressway of Shanghai. Journal of Hydrodynamics, 2010, 25(5): 683-693 (in Chinese))

吴胜春, 郑贤清, 郭明旻等. 国内典型大城市快速路交通流实测. 中国科学:物理学、力学、天文学, 2011, 41(6): 791-800 (Wu Shengchun, Zheng Xianqing, Guo Mingmin, et al. Survey report on urban freeway traffic flow of several typical cities in China. Scientia Sinica Physica, Mechanica & Astronomica, 2011, 41(6): 791-800 (in Chinese))

吴正, 郭明旻, 郑贤清等. 大城市高架路实测数据分析与交通流模型研究. 力学学报, 2010, 42(4): 789-797 (Wu Zheng, Guo Mingmin, Zheng Xianqing, et al. Measured data analysis of urban expressway and research on traffic flow models. Chinese Journal of Theoretical and Applied Mechanics, 2010, 42(4): 789-797 (in Chinese))

林展熙, 郭明旻, 郑贤清等. 基于实测数据的交通流模型比较研究. 力学学报, 2010, 42(5): 848-855 (Lin Zhanxi, Guo Mingmin, Zheng Xianqing, et al. A comparative study on traffic flow models based on mesured data. Chinese Journal of Theoretical and Applied Mechanics, 2010, 42(5): 848-855 (in Chinese))

吴正, 郭明旻, 许谦. 城市快速路交通流速密关系模型优化研究. 力学学报, 2012, 44(4): 709-717 (Wu Zheng, Guo Mingmin, Xu Qian. Study on optimization of traffic flow velocity-density models for urban freeway. Chinese Journal of Theoretical and Applied Mechanics, 2012, 44(4): 709-717 (in Chinese))

Helly W. Simulation in bottlenecks in single-lane traffic flow. In: Proceedings of the Symposium on Theory of Traffic Flow. New York, NY: Elsevier, 1961. 207-238

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