Civil and Traffic Engineering |
|
|
|
|
Pedestrian route choice model based on social force model |
CAO Ning-bo1, CHEN Yong-heng1, QU Zhao-wei1, ZHAO Li-ying1, BAI Qiao-wen1, YANG Qiu-jie2 |
1. College of Transportation, Ji Lin University, Chang Chun 130022, China;
2. Tianjin Transportation Research Institute, TianJin 300074, China |
|
|
Abstract A pedestrian route choice model was proposed based on social force model, in order to analyze the effect of route choice model on the pedestrian evacuation. The route choice models were established from decision-making level and strategy level. A discretization grid was used to represent all the potential moving directions of pedestrians, and the weight of every potential moving direction was modeled. The simulations were conducted in a room which is 10 by 10 meters, and the relationship between evacuation time and pedestrian number was acquired. The simulation results were compared with the observation data and other models. Results indicate that route choice model can improve pedestrian evacuation efficiency. The relationship between speed and density accorded with actual data closely by integrating the route choice model into social force model. The modified route choice model is more effective when the pedestrian density is larger than 1.4 pedestrians/m2.
|
Received: 22 December 2016
Published: 09 March 2018
|
|
基于社会力模型的行人路径选择模型
为了研究路径选择行为对行人消散的影响,基于社会力模型,建立行人路径选择模型.从决策层和策略层两方面对行人路径选择行为进行建模,利用离散网格代表行人所有可能期望速度方向,建立每个离散网格的权重决策模型.通过对10×10房间内行人疏散进行仿真,得到行人消散时间随行人数目的变化规律.对比分析改进模型、实际数据和其他模型的数据,结果表明,行人路径选择行为能够有效提高行人的消散效率,加入路径选择模型后,改进模型得到了更加符合实际数据的速度-密度关系图.改进模型在行人密度大于1.4人/米2条件下具有更重要的意义.
|
|
[1] HELBING D, MOLNAR P. Social force model for pedestrian dynamics[J]. Physical review E, 1995, 51(5):4282-4286.
[2] YU W J, CHEN R, DONG L Y, et al. Centrifugal force model for pedestrian dynamics[J]. Physical Review E, 2005, 72(2):026112.
[3] PARISI D R, DORSO C O. Morphological and dynamical aspects of the room evacuation process[J]. Physica A:Statistical Mechanics and Its Applications, 2007, 385(1):343-355.
[4] HELBING D, FARKAS I, VICSEK T. Simulating dynamical features of escape panic[J]. Nature, 2000, 407(6803):487-490.
[5] LAKOBA T I, KAUP D J, FINKELSTEIN N M. Modifications of the Helbing-Molnar-Farkas-Vicsek social force model for pedestrian evolution[J]. Simulation, 2005, 81(5):339-352.
[6] ZENG W, CHEN P, NAKAMURA H,et al. Application of social force model to pedestrian behavior analysis at signalized crosswalk[J]. Transportation Research Part C:Emerging Technologies, 2014, 40:143-159.
[7] HELBING D, FARKAS I J, MOLNAR P, et al. Simulation of pedestrian crowds in normal and evacuation situations[J]. Pedestrian and evacuation dynamics, 2002, 21(2):21-58.
[8] KRETZ T, GROßE A, HENGST S L, et al. Quickest routes in simulations of pedestrians[J]. Advances in Complex Systems. 2011. 14.05, 733-759.
[9] PATIL, S. J. BERG, S. CURTIS, M.et al. Manocha. Directing crowd simulations using navigation fields[J].IEEE Transactions on Visualization and Computer Graphics, 2010. 244-254.
[10] TREUILLE A, COOPER S, POPOVIC' Z. Continuum crowds[C]//ACM Transactions on Graphics (TOG)[S.l.]. ACM, 2006, 25(3):1160-1168.
[11] ASANO M, IRYO T, KUWAHARA M. Microscopic pedestrian simulation model combined with a tactical model for route choice behavior[J]. Transportation Research Part C:Emerging Technologies, 2010, 18(6):842-855.
[12] GUO R, HUANG H.:A mobile lattice gas model for simulating pedestrian evacuation[J]. Physica A, Stat. Mech. Appl. 2008,387(2-3), 580-586.
[13] SABOIA P, GOLDENSTEIN S. Crowd simulation:applying mobile grids to the social force model[J]. The Visual Computer, 2012, 28(10):1039-1048.
[14] ANVARI B, BELL M G H, Sivakumar A, et al. Modelling shared space users via rule-based social force model[J]. Transportation Research Part C:Emerging Technologies, 2015, 51:83-103.
[15] LI M, SHI F, CHEN D. Analyze bicycle-car mixed flow by social force model for collision risk evaluation[C]//3rd International Conference on Road Safety and Simulation. Transportation Research Board. Washington, DC:[s.n.]. 2011.
[16] 江晟, 王殿海, 陈永恒, 等. 基于视频的行人运动轨迹再现与过街行为表达[J]. 东南大学学报:自然科学版, 2012, 42(6):1233-1237. JIANG Sheng, WANG Dian-hai, CHEN, Yong-heng; et al. Pedestrian movement trajectory reappearance and crossing feature expression based on video processing[J]. Journal of Southeast University:Natural Science Edition, 2012, 42(6):1233-1237.
[17] ZAINUDDIN Z, SHUAIB M. Modification of the decision-making capability in the social force model for the evacuation process[J]. Transport Theory and Statistical Physics, 2010, 39(1):47-70. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|