第 卷第 期
吉 林 大 学 学 报 工 学 版
VolNo
年 月
Journal of Jilin University Engineering and Technology Edition
May
收稿日期
基金项目国家自然科学基金项目高等学校博士学科点专项科研基金项目北京交
通大学基本科研业务费项目YJS
作者简介李珊珊 女博士研究生研究方向交通仿真Emailbjtueducn
通信作者钱大琳 女教授博士生导师研究方向智能交通Emaildlqianbjtueducn
考 虑 行 人 减 速 避 让 的 改 进 社 会 力 模 型
李珊珊
钱大琳
王九州
北京交通大学 交通运输学院北京 北京交通大学 城市交通复杂系统理论与技术教育部重点实
验室北京 天津市市政工程设计研究院天津
摘要为了能够真实地模拟常态行人流针对社会力模型中存在的行人重叠问题分析了行
人的运动需求空间将行人减速避让机制引入社会力模型对模型进行了改进 并采用 C
编程语言对改进模型进行了仿真验证了其有效性 仿真结果显示行人能够有效地避让其他
行人及障碍物 将仿真试验提取数据拟合得到的行人流的速度密度图与实际数据比较结果
表明当行人密度在 p m
内变化时所提出的模型能够再现行人流基本图
关键词交通运输系统工程行人交通社会力模型仿真
中图分类号U文献标志码A文章编号
Improved social force model considering pedestrian
deceleration to avoid collision
LI Shanshan
QIAN Dalin
WANG Jiuzhou
School of Traffic and Transportation Beijing Jiaotong University Beijing ChinaMOE Key Laboratory for Urban
Transportation Complex Systems Theory and Technology Beijing Jiaotong UniversityBeijing ChinaTianjin Municipal
Engineering Design & Research Institute Tianjin China
AbstractIn order to simulate the pedestrian flows in the normal conditions realistically the issue of the social
force model a simulated pedestrian continuously pushing over other pedestrians was solved by introducing a
pedestrian deceleration avoidance mechanism and analyzing the pedestrian required spaceThe improved
model was simulated by program compiled with C language to validate its effectivenessThe simulation
results showed that the pedestrian can avoid other pedestrians or obstacles effectivelyThe simulation data were
fitted by means of the generalized regression neural network and an obtained velocitydensity diagram of the
pedestrian flow was compared with its real dataThe compared result showed when the pedestrian density in
the range of p m
the proposed model can reproduce the basic behavior of the pedestrian flow
Key wordsengineering of communications and transportation system pedestrian traffic social force model
simulation
行人仿真作为步行设施评估和优化的有力工 具其重要性逐渐突显 社会力模型作为微观行