| 基于道路流量和服务水平的停车需求预测分析 |
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| 引用本文： | 戴艳芬,吴玲玲,张兴华,严金果.基于道路流量和服务水平的停车需求预测分析[J].交通科技与经济,2013(6):35-39. |
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| 作者姓名： | 戴艳芬 吴玲玲 张兴华 严金果 |
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| 作者单位： | [1]重庆交通大学交通运输学院,重庆400074 [2]长沙理工大学计算机与通信工程学院,湖南长沙410004 |
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| 摘 要： | 为使停车需求预测更准确，提出基于道路流量和服务水平停车需求预测模型。分析停车需求预测方法的现状，同时引入道路流量和服务水平这两个重要的影响因素，在多元回归模型的基础上，引入停车泊位增加系数，建立改进的停车预测模型。通过大量的调查数据对该模型进行检验，验证模型的准确性，该方法对解决城市中心区的动态交通拥堵具有一定的指导意义。
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| 关 键 词： | 道路流量 服务水平 停车需求预测 停车泊位增加系数 |
Parking demand forecasting based on traffic flows and service level |
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| DAI Yan-fen,WU Ling-ling,ZHANG Xin-hua,YAN Jin-guo.Parking demand forecasting based on traffic flows and service level[J].Technology & Economy in Areas of Communications,2013(6):35-39. |
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| Authors: | DAI Yan-fen WU Ling-ling ZHANG Xin-hua YAN Jin-guo |
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| Institution: | School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400041, China; School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410004, China) |
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| Abstract: | In order to predict accurately parking demand, a parking demand forecasting model based on traffic flows and service level is proposed. The present situation of parking demand forecasting method is analyzed and the two important factors are introduced which are traffic flows and service level. Based on the Multiple Regression Model, it introduces parking berth increased coefficient, and proposes improved parking demand forecasting model. At last, the Model is inspected through a lot of survey data. Accuracy of the Model is validated. It has a certain guiding significance to solve the dynamic traffic jams of the city. |
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| Keywords: | traffic flows service level parking parking berth increased coefficient |
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