数据驱动的学校周边道路拥堵识别
U629; 为定量分析多个中小学周边道路拥堵情况,针对性地改善学校周边拥堵状况,对比通学时期与非通学时期的交通拥堵数据.建立学校周边道路拥堵指标,通过拥堵评价函数,分析各道路受周边学校出行影响的程度,识别重点拥堵道路.提出了一种基于地图开放平台获取交通大数据的算法,对南京主城区79 所中小学周边道路进行实例分析,给出了各道路受学校出行影响的拥堵值.结果表明:在通学期间交通整体拥堵程度高于非通学时期,通学时期平均拥堵指数为1.973,非通学时期平均拥堵指数为1.664,通学时期比非通学时期平均拥堵指数提高了18.57%....
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| Published in | 江苏大学学报（自然科学版） Vol. 45; no. 2; pp. 141 - 146 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
江苏大学 汽车与交通工程学院, 江苏 镇江 212013
01.03.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1671-7775 |
| DOI | 10.3969/j.issn.1671-7775.2024.02.003 |
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| Abstract | U629; 为定量分析多个中小学周边道路拥堵情况,针对性地改善学校周边拥堵状况,对比通学时期与非通学时期的交通拥堵数据.建立学校周边道路拥堵指标,通过拥堵评价函数,分析各道路受周边学校出行影响的程度,识别重点拥堵道路.提出了一种基于地图开放平台获取交通大数据的算法,对南京主城区79 所中小学周边道路进行实例分析,给出了各道路受学校出行影响的拥堵值.结果表明:在通学期间交通整体拥堵程度高于非通学时期,通学时期平均拥堵指数为1.973,非通学时期平均拥堵指数为1.664,通学时期比非通学时期平均拥堵指数提高了18.57%. |
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| AbstractList | U629; 为定量分析多个中小学周边道路拥堵情况,针对性地改善学校周边拥堵状况,对比通学时期与非通学时期的交通拥堵数据.建立学校周边道路拥堵指标,通过拥堵评价函数,分析各道路受周边学校出行影响的程度,识别重点拥堵道路.提出了一种基于地图开放平台获取交通大数据的算法,对南京主城区79 所中小学周边道路进行实例分析,给出了各道路受学校出行影响的拥堵值.结果表明:在通学期间交通整体拥堵程度高于非通学时期,通学时期平均拥堵指数为1.973,非通学时期平均拥堵指数为1.664,通学时期比非通学时期平均拥堵指数提高了18.57%. |
| Abstract_FL | To quantitatively analyze the road congestion around primary and secondary schools and improve the congestion around schools,the traffic congestion data in school season and non-school season were compared.The congestion index of the road around school was established,and the congestion evaluation function was constructed.The influence degree of each road by school travel was analyzed,and the key congested roads were identified.An algorithm for obtaining traffic big data based on the map open platform was proposed.The roads around 79 primary and secondary schools in the main urban area of Nanjing were analyzed,and the congestion value of each road affected by school travel was given.The results show that the overall congestion degree in school season is higher than that in non-school season,and the average congestion index is 1.973 in school season,which is 18.57%higher than that of 1.664 in non-school season. |
| Author | 杜刘洋 顾倩 景鹏 |
| AuthorAffiliation | 江苏大学 汽车与交通工程学院, 江苏 镇江 212013 |
| AuthorAffiliation_xml | – name: 江苏大学 汽车与交通工程学院, 江苏 镇江 212013 |
| Author_FL | GU Qian JING Peng DU Liuyang |
| Author_FL_xml | – sequence: 1 fullname: JING Peng – sequence: 2 fullname: GU Qian – sequence: 3 fullname: DU Liuyang |
| Author_xml | – sequence: 1 fullname: 景鹏 – sequence: 2 fullname: 顾倩 – sequence: 3 fullname: 杜刘洋 |
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| DOI | 10.3969/j.issn.1671-7775.2024.02.003 |
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| DocumentTitle_FL | Data driven identification of road congestion around schools |
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| Keywords | map platform 学校道路 拥堵指数 拥堵识别 school road congestion index congestion identification big data 大数据 地图平台 |
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| Title | 数据驱动的学校周边道路拥堵识别 |
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