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Reinforcement Learning for Efficient Bus Priority Systems: Balancing Transit Efficiency and Traffic Impact 高效公交优先系统的强化学习：平衡公交效率与交通影响
Data Science for Transportation Pub Date : 2024-07-24 DOI: 10.1007/s42421-024-00103-3
E. Kampitakis, Konstantinos Katzilieris, E. Vlahogianni
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引用次数: 0
Investigating Relationships Between Phone Use While Driving Behavior and Drivers’ Socio-demographic Characteristics: An Interpretable Machine Learning Approach 调查驾驶时使用手机行为与驾驶员社会人口特征之间的关系：可解释的机器学习方法
Data Science for Transportation Pub Date : 2024-05-10 DOI: 10.1007/s42421-024-00092-3
X. Kong, Amy Zhang, Yunlong Zhang, Xiaoyu Guo, Xiao Xiao, Zihao Li
{"title":"Investigating Relationships Between Phone Use While Driving Behavior and Drivers’ Socio-demographic Characteristics: An Interpretable Machine Learning Approach","authors":"X. Kong, Amy Zhang, Yunlong Zhang, Xiaoyu Guo, Xiao Xiao, Zihao Li","doi":"10.1007/s42421-024-00092-3","DOIUrl":"https://doi.org/10.1007/s42421-024-00092-3","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":" 16","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140991865","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
Data-Driven Approach to Reverse Engineer Detector Metadata at Signalized Intersections with Unknown Control Plans 在控制计划不明的信号灯路口逆向工程检测器元数据的数据驱动方法
Data Science for Transportation Pub Date : 2024-05-06 DOI: 10.1007/s42421-024-00093-2
Atousa Zarindast, Tingting Huang, Anuj Sharma, Christopher M. Day
{"title":"Data-Driven Approach to Reverse Engineer Detector Metadata at Signalized Intersections with Unknown Control Plans","authors":"Atousa Zarindast, Tingting Huang, Anuj Sharma, Christopher M. Day","doi":"10.1007/s42421-024-00093-2","DOIUrl":"https://doi.org/10.1007/s42421-024-00093-2","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"64 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141011702","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
TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data TransitCrowd：利用移动人群感应数据估算地铁站需求
Data Science for Transportation Pub Date : 2024-04-13 DOI: 10.1007/s42421-024-00091-4
Piergiorgio Vitello, Claudio Fiandrino, Richard D. Connors, Francesco Viti
{"title":"TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data","authors":"Piergiorgio Vitello, Claudio Fiandrino, Richard D. Connors, Francesco Viti","doi":"10.1007/s42421-024-00091-4","DOIUrl":"https://doi.org/10.1007/s42421-024-00091-4","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140708801","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
Performing Sentiment Analysis Using Natural Language Models for Urban Policymaking: An analysis of Twitter Data in Brussels 利用自然语言模型进行情感分析，促进城市决策：布鲁塞尔 Twitter 数据分析
Data Science for Transportation Pub Date : 2024-04-11 DOI: 10.1007/s42421-024-00090-5
Floriano Tori, Sara Tori, Imre Keseru, Vincent Ginis
{"title":"Performing Sentiment Analysis Using Natural Language Models for Urban Policymaking: An analysis of Twitter Data in Brussels","authors":"Floriano Tori, Sara Tori, Imre Keseru, Vincent Ginis","doi":"10.1007/s42421-024-00090-5","DOIUrl":"https://doi.org/10.1007/s42421-024-00090-5","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"8 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715816","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
Unlocking the Full Potential of Deep Learning in Traffic Forecasting Through Road Network Representations: A Critical Review 通过路网表征释放深度学习在交通预测中的全部潜能：评论
Data Science for Transportation Pub Date : 2023-11-16 DOI: 10.1007/s42421-023-00083-w
Panagiotis Fafoutellis, E. Vlahogianni
{"title":"Unlocking the Full Potential of Deep Learning in Traffic Forecasting Through Road Network Representations: A Critical Review","authors":"Panagiotis Fafoutellis, E. Vlahogianni","doi":"10.1007/s42421-023-00083-w","DOIUrl":"https://doi.org/10.1007/s42421-023-00083-w","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139266565","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
Exploring Deep Learning Approaches for Short-Term Passenger Demand Prediction 探索深度学习方法用于短期客运需求预测
Data Science for Transportation Pub Date : 2023-08-23 DOI: 10.1007/s42421-023-00075-w
Zahra Ghandeharioun, Parham Zendehdel Nobari, Wenhui Wu
{"title":"Exploring Deep Learning Approaches for Short-Term Passenger Demand Prediction","authors":"Zahra Ghandeharioun, Parham Zendehdel Nobari, Wenhui Wu","doi":"10.1007/s42421-023-00075-w","DOIUrl":"https://doi.org/10.1007/s42421-023-00075-w","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117318130","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
Causal Analysis-Based Reduced Order Modeling of Human Mobility in the U.S. During COVID-19 Pandemic 基于因果分析的美国COVID-19大流行期间人员流动的降阶模型
Data Science for Transportation Pub Date : 2023-08-21 DOI: 10.1007/s42421-023-00081-y
S. Sinha, Meghna Chakraborty
{"title":"Causal Analysis-Based Reduced Order Modeling of Human Mobility in the U.S. During COVID-19 Pandemic","authors":"S. Sinha, Meghna Chakraborty","doi":"10.1007/s42421-023-00081-y","DOIUrl":"https://doi.org/10.1007/s42421-023-00081-y","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133093649","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
On the Relationship Between Crowdsourced Sentiments and Mobility Trends During COVID-19: A Case Study of Kyoto COVID-19期间众包情绪与流动趋势的关系——以京都为例
Data Science for Transportation Pub Date : 2023-08-12 DOI: 10.1007/s42421-023-00080-z
Wenzhe Sun, Hironori Kobayashi, Satoshi Nakao, Jan-Dirk Schmöcker
{"title":"On the Relationship Between Crowdsourced Sentiments and Mobility Trends During COVID-19: A Case Study of Kyoto","authors":"Wenzhe Sun, Hironori Kobayashi, Satoshi Nakao, Jan-Dirk Schmöcker","doi":"10.1007/s42421-023-00080-z","DOIUrl":"https://doi.org/10.1007/s42421-023-00080-z","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129036982","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
COVID-19 and Driving Behavior: Which Were the Most Crucial Influencing Factors? COVID-19与驾驶行为:哪些是最关键的影响因素?
Data Science for Transportation Pub Date : 2023-08-08 DOI: 10.1007/s42421-023-00078-7
Marios Sekadakis, Christos Katrakazas, Eva Michelaraki, Apostolos Ziakopoulos, G. Yannis
{"title":"COVID-19 and Driving Behavior: Which Were the Most Crucial Influencing Factors?","authors":"Marios Sekadakis, Christos Katrakazas, Eva Michelaraki, Apostolos Ziakopoulos, G. Yannis","doi":"10.1007/s42421-023-00078-7","DOIUrl":"https://doi.org/10.1007/s42421-023-00078-7","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134369367","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
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