摘要
基于停车服务效率分析的基础上,提出了停车行为选择概率模型以及停车场停车量预测模型,并结合实例对停车场停车量分布进行仿真。由仿真结果显示,所构建的停车场停车量预测模型及停车行为选择概率模型,能较好地对停车场的停车车辆及停车选择行为概率进行预测和分析。与基于最小停车阻抗的停车行为选择概率模型相比,综合考虑了诱导信息系统所提供的停车场空闲信息对停车行为的影响,更能从城市整体停车场服务区域内提高各停车场空闲停车泊位的利用率,改善高峰期间的各停车场的车流分布。
Based on the analysis of service efficiency of parking service, the probability model of parking behavior selection and parking vehicle prediction model are proposed, and the parking volume distribution of parking lot is simulated with an example. The simulation results show that the parking volume prediction model and the probability model of parking behavior selection can be used to predict and analyze the parking vehicle and parking selection behavior probability of parking lot better. Compared with the probability model of parking behavior selection based on minimum parking impedance, the effect of parking free information on parking behavior provided by the induction information system is considered, and the utilization rate of idle parking space in parking lots can be improved from the service area of the whole city parking lot, and the distribution of the parking lots is improved during the peak period.
作者
蔡家明
Cai Jiaming(College of Automobile Engineering , Shanghai University of Engineering Science ,Shanghai,201620)
出处
《电子测试》
2018年第10期52-54,共3页
Electronic Test
关键词
停车诱导信息
停车选择行为
预测模型
Parking guidance information
parking choice behavior
prediction model
