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作 者:张丰焰[1,2,3] 王晓娟 贺中娣
机构地区:[1]东南大学交通学院,江苏南京210096 [2]安徽交通职业技术学院,安徽合肥230051 [3]浙江交通勘察设计有限公司,浙江杭州310014 [4]安徽富煌科技股份有限公司,安徽合肥230088
出 处:《黑龙江工程学院学报》2017年第5期6-9,20,共5页Journal of Heilongjiang Institute of Technology
基 金:安徽高校省级自然科学研究资助项目(KJ2012B051)
摘 要:为快捷、准确地获取公交分担率,提高分担率计算结果的可信度,借助较为成熟的智能化技术,从解析公交分担率计算模型出发,对公交分担率计算方法开展研究。利用客流计数系统实时获取公交客运量数据,利用公交IC卡数据计算公交平均换乘系数,再通过分析挖掘手机话单数据获取居民出行量,将这些数据代入计算模型即可得到公交分担率值。利用此方法计算出的公交分担率相对于传统方法来说减少因抽样而造成的误差,同时获得公交分担率的时间也大大缩短。To acquire public transit share rate accurately and quickly,and improve the credibility of the public transit share rate calculation results,with the aid of mature intelligent technology,starting from the analysis of public transit share rate calculation model,the calculation method of public transit share rate is studied.Real-time bus passenger information is acquired by passenger counting system,and bus average transfer coefficient is calculated by bus IC card data,then the resident trip is acquired through mining cellular phone bill data.The public transit share rate is obtained by putting these data above into the calculation model.Compared with the traditional method,this method of calculating public transit share rate can reduce the error caused by sampling,and can greatly shorten the calculation time of public transit share rate.
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