A pedestrian walking behavior model based on nested and cross nested logit model
ZHOU Zhuping1, CAI Yifei1, HU Qizhou1, WANG Wei2
1. Department of Traffic Engineering, Nanjing University of Science and Technology, Nanjing 210094, China; 2. School of Transportation, Southeast University, Nanjing 210096, China
Abstract：To study on pedestrian behavior and simulate pedestrian walking trajectory quantitatively, a pedestrian behavior model based on nested logit (NL) and cross nested logit (CNL) model is proposed. At first, starting from the modeling approaches, basic theories of behavior theory, NL model and CNL model are analyzed emphatically. Then, in the model, pedestrians are divided into two types of free flow and non-free flow. Different functions are built for the five willingness of keeping direction, toward destination, speed changes, avoiding opposite pedestrian and transcend the pedestrian in same direction, respectively. Furthermore, the NL and CNL model of pedestrian walking behavior is proposed. Finally, the software of biogeme is applied to calibrate the coefficients of the model using the data tracked in the video, and the model results are compared with the real trajectory data to validate the accuracy of the model. Accuracy of the model is 80.26\%. The results show that, the built discrete choice model can simulate the real walking trajectory in the low-density situation with high accuracy.
周竹萍, 蔡逸飞, 胡启洲, 王炜. 基于巢式和交叉巢式logit的行人步行行为模型[J]. 系统工程理论与实践, 2017, 37(1): 219-227.
ZHOU Zhuping, CAI Yifei, HU Qizhou, WANG Wei. A pedestrian walking behavior model based on nested and cross nested logit model. Systems Engineering - Theory & Practice, 2017, 37(1): 219-227.
[1] 孙立光. 步行设施内的行人行为微观仿真模型研究[D]. 北京: 清华大学, 2009.Sun L G. Study on microscopic simulation model of pedestrian behavior in walking facilities[D]. Beijing: Tsinghua University, 2009. [2] 汪蕾, 蔡云, 徐青. 社会力模型的改进研究[J]. 南京理工大学学报(自然科学版), 2011, 35(1): 144-149.Wang L, Cai Y, Xu Q. Modifications to social force model[J]. Journal of Nanjing University of Science and Technology (Natural Science), 2011, 35(1): 144-149. [3] Johansson F, Peterson A, Tapani A. Waiting pedestrians in the social force model[J]. Physica A, 2015, 419(1): 95-107. [4] 任刚, 陆丽丽,王炜. 基于元胞自动机和复杂玩过理论的双向行人流建模[J]. 物理学报, 2012, 61(14): 1-10.Ren G, Lu L L, Wang W. Modeling bi-direction pedestrian flow cellular automata and complex network theories[J]. Acta Phys Sin, 2012, 61(14): 1-10. [5] 陈燕燕, 陈宁,王杨. 一种考虑吸引型异常事件的行人元胞自动机模型[J]. 交通运输系统工程与信息, 2015, 15(3): 56-63.Chen Y Y, Chen N, Wang Y. A cellular automata model considering attractive incidents[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(3): 56-63. [6] 周竹萍,王炜,任刚. 信号控制交叉口行人个体过街行为选择模型[J]. 东南大学学报(自然科学版), 2013, 43(3): 664-669.Zhou Z P, Wang W, Ren G. Choice model of pedestrian crossing behavior at signalized intersections[J]. Journal of Southeast University (Natural Science Edition), 2013, 43(3): 664-669. [7] Robin T, Antonini G, Bierlaire M, et al. A specification, estimation and validation of a pedestrian walking behavior model[J]. Transportation Research Part B, 2009, 43(1): 36-56. [8] Nasir M, Lim C P, Nahavandi S, et al. A genetic fuzzy system to model pedestrian walking path in a built environment[J]. Simulation Modelling Practice and Theory, 2014, 45(1): 18-34. [9] Zeng W L, Peng C, Hideki N, et al. Application of social force model to pedestrian behavior analysis at signalized crosswalk[J]. Transportation Research Part C, 2014, 40(5): 143-159. [10] Vittorio M. A simple procedure for the calculation of the covariances of any generalized extreme value model[J]. Transportation Research Part B, 2014, 70(1): 151-162. [11] Vittorio M, Andrea P, Fulvio S, et al. A practically tractable expression of the convariances of the cross-nested logit model[J]. Transportation Research Part B, 2013, 57(2): 1-11. [12] 吴世江, 史其信, 陆化普. 城市客运出行非线性效用离散选择模型研究[J]. 武汉理工大学学报, 2008, 30(9): 108-111.Wu S J, Shi Q X, Lu H P. Research of intercity passenger travel discrete choice model[J]. Journal of Wuhan University of Technology, 2008, 30(9): 108-111. [13] 周竹萍, 王炜, 任刚. 面向安全提升的行人过街行为研究[M]. 北京: 科学出版社, 2014. [14] Appert R, Cividini H J. Pedestrian flow: From individuals to crowds[J]. Transportation Research Procedia, 2014, 2(4): 468-476. [15] 刘振. Box-Cox logit模型扩展及其模型形式改进[D]. 上海: 上海海事大学, 2008.Liu Z. Expanse of Box-Cox logit model and its imporved form[D]. Shanghai: Shanghai Maritime University, 2008. [16] 李雪飞. 基于扩展logit的交通分配模型与算法研究[D]. 北京: 北京交通大学, 2014.Li X F. Study on traffic assignment models and algorithms based on extended logit models[D]. Beijing: Beijing Jiaotong University, 2014.
2017, Vol. 37 
