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.
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