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基于元胞自动机的行人和机动车相互干扰机理研究
引用本文:孙泽,贾斌,李新刚.基于元胞自动机的行人和机动车相互干扰机理研究[J].物理学报,2012,61(10):100508-100508.
作者姓名:孙泽  贾斌  李新刚
作者单位:北京交通大学交通运输学院城市交通复杂系统科学与技术教育部重点实验室,北京,100044
基金项目:国家自然科学基金(批准号: 71071013, 71001004, 71131001)、 国家高技术研究发展计划(批准号: 2011AA110303)和国家重点基础研究发展计划 (批准号: 2012CB725401)资助的课题.
摘    要:在行人流量大的人行横道处,机动车和行人之间存在较为严重的干扰.通过引入行人和机动车的冲突干扰规则, 构建了能够刻画人行横道处机动车和行人相互干扰行为的元胞自动机模型.通过数值模拟研究了行人到达率、机动车到达率、 行人冒险穿越机动车道的阈值以及行人对机动车敏感系数等因素对机动车和行人流量的影响. 模拟结果显示,所提出的模型很好地反映了行人与机动车之间的干扰特性;随着行人冒险穿越机动车道的阈值的增加, 机动车流量增大,行人流量减小;随着行人对机动车敏感系数的增加,行人避让概率减小,机动车流量减小,行人流量增大. 所得结果对混合交通的控制和管理具有一定的指导意义.

关 键 词:元胞自动机  混合交通流  行人  机动车
收稿时间:2011-09-06

The study of the interference between pedestrians and vehicles based on cellular automaton model
Sun Ze,Jia Bin,Li Xin-Gang.The study of the interference between pedestrians and vehicles based on cellular automaton model[J].Acta Physica Sinica,2012,61(10):100508-100508.
Authors:Sun Ze  Jia Bin  Li Xin-Gang
Institution:Key Laboratory for Urban Complex Transportation Systems Theory and Technology of Ministry of Education, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Abstract:Serious interference between motor vehicles and pedestrians happens at crosswalk when pedestrian flow is large. In this paper, cellular automata models are used to model the behavior of mutual interferences between pedestrians and vehicles at crosswalk by introducing conflict interference rules between pedestrians and vehicles. Numerical simulations are carried out to study the fluxes of vehicle and pedestrian, influenced by the parameters, such as the arrival rates, pedestrian waiting time and the pedestrian's sensitivity coefficient to vehicle. Simulation results show that the model can reflect the interference characteristics between pedestrians and vehicles well. With the increase of threshold that pedestrians cross the traffic lane riskily, motor vehicle flow increases but pedestrian flow decreases. With the increase of pedestrian's sensitivity coefficient, pedestrian avoiding probability decreases, motor vehicle flow decreases, pedestrian flow increases. The results have certain significance for the control and management of mixed traffic.
Keywords:cellular automaton model  mixed traffic  pedestrian  vehicle
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