首页 > 最新文献

Logic-Driven Traffic Big Data Analytics最新文献

英文 中文
Analyzing Spatiotemporal Congestion Pattern on Urban Roads Based on Taxi GPS Data 基于出租车GPS数据的城市道路拥堵时空格局分析
Pub Date : 2017-06-19 DOI: 10.5198/JTLU.2017.954
Kaisheng Zhang, D. Sun, S. Shen, Yi Zhu
With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. This study aims to investigate the relationship between traffic congestion and built environment, including traffic related factors and land use. Fuzzy C-means clustering was used to conduct an exhaustive study on 24-hour congestion pattern of road segments in urban area, so that the spatial autoregressive moving average model (SARMA) was introduced to analyze the output from the clustering analysis to establish the relationship between built environment and the 24-hour congestion pattern. The clustering result classified the road segments into four congestion levels, while the regression explained 12 traffic-related factors and land use factors’ impact on road congestion pattern. The continuous congestion was found to mainly occur in the city center, and the factors, such as road type, bus station in the vicinity, ramp nearby, commercial land use and so on have large impact on congestion formation. The Fuzzy C-means clustering was proposed to be combined with quantitative spatial regression, and the overall evaluation process will assist to assess the spatial-temporal levels of service of traffic from the congestion perspective.
近年来,随着车载数据采集设备的发展,GPS轨迹已成为识别交通拥堵和了解路网运行状态的优先来源。本研究旨在探讨交通拥堵与建筑环境的关系,包括交通相关因素和土地利用。采用模糊c均值聚类方法对城区道路段的24小时拥堵模式进行了详尽的研究,并引入空间自回归移动平均模型(SARMA)对聚类分析结果进行分析,建立了建成环境与24小时拥堵模式的关系。聚类结果将道路分段划分为4个拥堵等级,回归解释了12个交通相关因素和土地利用因素对道路拥堵格局的影响。发现持续拥堵主要发生在城市中心,道路类型、附近公交车站、匝道附近、商业用地等因素对拥堵形成影响较大。提出了模糊c均值聚类与定量空间回归相结合的方法,综合评价过程有助于从拥堵角度评价交通服务的时空水平。
{"title":"Analyzing Spatiotemporal Congestion Pattern on Urban Roads Based on Taxi GPS Data","authors":"Kaisheng Zhang, D. Sun, S. Shen, Yi Zhu","doi":"10.5198/JTLU.2017.954","DOIUrl":"https://doi.org/10.5198/JTLU.2017.954","url":null,"abstract":"With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. This study aims to investigate the relationship between traffic congestion and built environment, including traffic related factors and land use. Fuzzy C-means clustering was used to conduct an exhaustive study on 24-hour congestion pattern of road segments in urban area, so that the spatial autoregressive moving average model (SARMA) was introduced to analyze the output from the clustering analysis to establish the relationship between built environment and the 24-hour congestion pattern. The clustering result classified the road segments into four congestion levels, while the regression explained 12 traffic-related factors and land use factors’ impact on road congestion pattern. The continuous congestion was found to mainly occur in the city center, and the factors, such as road type, bus station in the vicinity, ramp nearby, commercial land use and so on have large impact on congestion formation. The Fuzzy C-means clustering was proposed to be combined with quantitative spatial regression, and the overall evaluation process will assist to assess the spatial-temporal levels of service of traffic from the congestion perspective.","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123198321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 59
Effects of Congestion on Drivers’ Speed Choice: Assessing the Mediating Role of State Aggressiveness Based on Taxi Floating Car Data 拥堵对驾驶员速度选择的影响:基于出租车浮动车数据的国家攻击性中介作用评估
Pub Date : 1900-01-01 DOI: 10.1007/978-981-16-8016-8_9
Shaopeng Zhong, D. Sun
{"title":"Effects of Congestion on Drivers’ Speed Choice: Assessing the Mediating Role of State Aggressiveness Based on Taxi Floating Car Data","authors":"Shaopeng Zhong, D. Sun","doi":"10.1007/978-981-16-8016-8_9","DOIUrl":"https://doi.org/10.1007/978-981-16-8016-8_9","url":null,"abstract":"","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126162845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of the Spatio-temporal Distribution of Traffic Accidents Based on Urban Built Environment Attributes and Microblog Data 基于城市建成环境属性和微博数据的交通事故时空分布分析
Pub Date : 1900-01-01 DOI: 10.1007/978-981-16-8016-8_10
Shaopeng Zhong, Daniel(Jian) Sun
{"title":"Analysis of the Spatio-temporal Distribution of Traffic Accidents Based on Urban Built Environment Attributes and Microblog Data","authors":"Shaopeng Zhong, Daniel(Jian) Sun","doi":"10.1007/978-981-16-8016-8_10","DOIUrl":"https://doi.org/10.1007/978-981-16-8016-8_10","url":null,"abstract":"","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123626087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Assessing Built Environment and Land Use Strategies from the Perspective of Urban Traffic Emissions: An Empirical Analysis Based on Massive Didi Online Car-Hailing Data 城市交通排放视角下的建筑环境与土地利用策略评估——基于滴滴网约车海量数据的实证分析
Pub Date : 1900-01-01 DOI: 10.1007/978-981-16-8016-8_12
Shaopeng Zhong, D. Sun
{"title":"Assessing Built Environment and Land Use Strategies from the Perspective of Urban Traffic Emissions: An Empirical Analysis Based on Massive Didi Online Car-Hailing Data","authors":"Shaopeng Zhong, D. Sun","doi":"10.1007/978-981-16-8016-8_12","DOIUrl":"https://doi.org/10.1007/978-981-16-8016-8_12","url":null,"abstract":"","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122848173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Regression Discontinuity-Based Approach for Evaluating the Effect of Exclusive Bus Lanes on Average Vehicle Speeds 基于不连续回归的公交专用道对平均车速影响评价方法
Pub Date : 1900-01-01 DOI: 10.1007/978-981-16-8016-8_4
Shaopeng Zhong, D. Sun
{"title":"A Regression Discontinuity-Based Approach for Evaluating the Effect of Exclusive Bus Lanes on Average Vehicle Speeds","authors":"Shaopeng Zhong, D. Sun","doi":"10.1007/978-981-16-8016-8_4","DOIUrl":"https://doi.org/10.1007/978-981-16-8016-8_4","url":null,"abstract":"","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"69 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132759399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Taxi Driver Speeding: Who, When, Where and How? A Comparative Study Between Shanghai and New York 出租车司机超速:谁、何时、何地、如何超速?上海与纽约的比较研究
Pub Date : 1900-01-01 DOI: 10.1007/978-981-16-8016-8_8
Shaopeng Zhong, D. Sun
{"title":"Taxi Driver Speeding: Who, When, Where and How? A Comparative Study Between Shanghai and New York","authors":"Shaopeng Zhong, D. Sun","doi":"10.1007/978-981-16-8016-8_8","DOIUrl":"https://doi.org/10.1007/978-981-16-8016-8_8","url":null,"abstract":"","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115228514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Logic-Driven Traffic Big Data Analytics: An Introduction 逻辑驱动的交通大数据分析:导论
Pub Date : 1900-01-01 DOI: 10.1007/978-981-16-8016-8_1
Shaopeng Zhong, Daniel(Jian) Sun
{"title":"Logic-Driven Traffic Big Data Analytics: An Introduction","authors":"Shaopeng Zhong, Daniel(Jian) Sun","doi":"10.1007/978-981-16-8016-8_1","DOIUrl":"https://doi.org/10.1007/978-981-16-8016-8_1","url":null,"abstract":"","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116841591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Travel Time Estimation Based on Built Environment Attributes and Low-Frequency Floating Car Data 基于建筑环境属性和低频浮动车数据的出行时间估计
Pub Date : 1900-01-01 DOI: 10.1007/978-981-16-8016-8_6
Shaopeng Zhong, Daniel(Jian) Sun
{"title":"Travel Time Estimation Based on Built Environment Attributes and Low-Frequency Floating Car Data","authors":"Shaopeng Zhong, Daniel(Jian) Sun","doi":"10.1007/978-981-16-8016-8_6","DOIUrl":"https://doi.org/10.1007/978-981-16-8016-8_6","url":null,"abstract":"","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126607651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Spatio-temporal Distribution Model for Determining Origin–Destination Demand from Multisource Data 基于多源数据的出发地需求时空分布模型
Pub Date : 1900-01-01 DOI: 10.1007/978-981-16-8016-8_2
Shaopeng Zhong, D. Sun
{"title":"A Spatio-temporal Distribution Model for Determining Origin–Destination Demand from Multisource Data","authors":"Shaopeng Zhong, D. Sun","doi":"10.1007/978-981-16-8016-8_2","DOIUrl":"https://doi.org/10.1007/978-981-16-8016-8_2","url":null,"abstract":"","PeriodicalId":293264,"journal":{"name":"Logic-Driven Traffic Big Data Analytics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129620432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
期刊
Logic-Driven Traffic Big Data Analytics
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1