雨天过街行人流自组织行为特性及其仿真建模OA北大核心CSTPCD
Characteristics and a Simulation Model of Self-organizing Behavior of Pedestrian Flow at Crosswalk under Rainy Condition
为改善降雨环境下城市过街设施的交通安全与效率,研究了雨天行人流过街的自组织行为特性并对其进行仿真建模.结合现场采集的晴、雨天行人流过街轨迹数据,对比分析常见中、小雨天气下过街行人流的速度统计分布、避让位移偏量以及空间溢出幅度;在此基础上通过改进社会力模型建立雨天行人流过街运动模型;应用实测数据标定模型参数并进行仿真验证.特性分析结果显示:雨天行人流过街速度在0.5~1.25 m/s区间的占比较晴天增加了58.80%,而在1.25~2.0 m/s区间占比降低了24.37%,表明其分布向低速范围显著偏移(p<0.001),同时由于未撑伞或溢出行人的紧迫心理,仍有8.05%的行人以2.0~2.5 m/s的较高步速过街;雨天对向行人避让的位移偏量较晴天平均增幅达46.80%,其整体趋势显著增大(p<0.001);雨天行人流空间溢出的临界过街等待人数和人流量较晴天分别下降7人与3人/分钟,溢出幅度为5.07%~24.80%.仿真验证结果表明:所建立的行人流过街运动模型,其模拟的雨天行人过街轨迹精度与晴天达到同量级,其中晴天单向前行与对向避让轨迹均方根误差分别为0.245和0.483,而雨天则为0.329和0.702;模拟的过街速度统计分布与实测分布无显著差异(晴天 p=0.620,雨天 p=0.649),且能够还原未撑伞或溢出行人的高速过街行为;模拟典型场景下雨天行人流溢出幅度与实测值的绝对误差为2.08%,而晴天均未发生溢出现象,与实测结果相符.
To enhance traffic safety and efficiency of urban street-crossing facilities during rainfall,the self-organiz-ing behavior of pedestrian flows crossing streets in the rain is investigated.A corresponding simulation model is al-so developed.More specifically,the crossing trajectory data of pedestrian flows in both sunny and rainy conditions are collected through on-site observation.Next,a comparative analysis is employed to determine pedestrian flow's distribution of speed,displacement offset for avoidance,and magnitude of spatial overflow with moderate and light rainfalls.Based on these findings,a pedestrian flow movement model for rainy conditions is proposed by modifying the social force model.The model parameters are calibrated and simulation verification is performed using the col-lected data.The results of the characteristic analysis reveal that:Due to rainfalls,the proportion of pedestrian's speeds ranging between 0.5 and 1.25 m/s increases by 58.80%;while it decreases by 24.37%in the range of 1.25 to 2.0 m/s.This indicates a significant shift of speed towards a lower range(p<0.001).However,there are 8.05%of the pedestrians,without umbrellas or in an overflow situation,crossing streets at higher speeds in the range of 2.0 to 2.5 m/s.A notable increase(46.8%)in displacement offset is observed when pedestrians encounter each other in rainy conditions,a change that is statistically significant(p<0.001).The thresholds of the number and flow rate of waiting pedestrians triggering overflow situations decreases by 7 people and 3 people/min,respectively,and the cor-responding overflow magnitude ranges from 5.07%to 24.80%.The simulation results indicate that:The proposed model exhibits an accuracy in rainy condition that is comparable to that in sunny conditions.Specifically,the root mean square errors of forward movement in one direction and avoidance movement in opposite directions for sunny conditions are 0.245 and 0.483 respectively,while those for rainy conditions are 0.329 and 0.702 respectively.No significant difference between the simulated speed distribution and the measured one is observed(p=0.620 for sun-ny conditions,p=0.649 for rainy conditions).The model is able to reproduce the urgent behavior of crossing streets of pedestrians without umbrellas or in an overflow situation.The absolute error of overflow magnitude of pedestrian flows between the simulated and measured situations is 2.08%in typical rainy conditions,while no overflow situa-tions are observed in sunny conditions,which aligns with the empirical findings.
杨海飞;卢素情;李昀轩;陈娴;王柳;古乐
河海大学土木与交通学院 南京 210024北京工业大学城市建设学部 北京 100124
交通运输
交通安全过街行人流社会力模型仿真降雨
traffic safetycrossing-street pedestrian flowsocial force modelsimulationrainfall
《交通信息与安全》 2024 (002)
136-146 / 11
国家自然科学基金青年项目(71801080)资助
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