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作 者:何昱欣 甘蜜[1,2] 钱秋君 刘晓波 HE Yuxin;GAN Mi;QIAN Qiujun;LIU Xiaobo(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;National Engineering Laboratory of Applicat ion Technology of Integrated Transportation Big Data,Chengdu 611756,China)
机构地区:[1]西南交通大学交通运输与物流学院,四川成都610031 [2]综合交通大数据应用技术国家工程实验室,四川成都611756
出 处:《工程管理科技前沿》2024年第5期25-32,共8页Frontiers of Science and Technology of Engineering Management
基 金:国家自然科学基金资助项目(52372306);国家重点研发计划资助项目(2018YFB1601402)。
摘 要:本文设计了一个基于轨迹数据的城际货车司机出行链构建和分类框架,以此挖掘他们的出行偏好。首先,识别货车司机的行程终点与基地点并构建城际货车出行链;其次,对城际货车出行链进行表征,利用高斯混合模型根据数值特征将出行链划分为6类模式;再次,基于最长公共子序列算法挖掘不同出行链模式偏好的货车司机的路线特征。结果表明,大多数货车司机有一种主导的出行链模式偏好,且不同车型的司机偏好具有多样性。此外,不同出行链模式偏好的货车司机的出行线路决策存在差异,进行货运活动的地理区域具有不同的特点。通过分析城际货运中货车司机的出行行为与出行特征,有助于更深入地理解其出行偏好,促进城际货运的高效管理。This study designs a trajectory data-based framework for constructing and classifying trip chains to mine truckers'travel preferences.First,we identify the trip ends and base depots of truckers to construct intercity trip chains.Second,we characterize these trip chains and employ the Gaussian Mixture Model to classify them into six patterns based on numerical features.Third,our study utilizes the Longest Common Subsequence algorithm to extract route features for truckers with different trip chain pattern preferences.The results indicate that the majority of truckers exhibit a dominant preference for a specific trip chain pattern,and these preferences vary among truckers of different truck types.Additionally,there are differences in route decision-making and geographical activity ranges among truckers with different trip chain pattern preferences.Through analyzing truckers'travel behavior and characteristics in intercity freight,this study contributes to a deeper understanding of their travel preferences and facilitates efficient management of intercity freight.
分 类 号:U495[交通运输工程—交通运输规划与管理]
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