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Public Transport Commuting Analytics: A Longitudinal Study Based on GPS Tracking and Unsupervised Learning 公共交通通勤分析:基于GPS跟踪和无监督学习的纵向研究
Data Science for Transportation Pub Date : 2023-08-08 DOI: 10.1007/s42421-023-00077-8
Mariana A. Costa, A. D. Marra, F. Corman
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引用次数: 1
Synthetic Generation of Trip Data: The Case of Smart Card 出行数据的合成生成:以智能卡为例
Data Science for Transportation Pub Date : 2023-07-31 DOI: 10.1007/s42421-023-00079-6
Minh Kieu, Iris Brighid Meredith, A. Raith
{"title":"Synthetic Generation of Trip Data: The Case of Smart Card","authors":"Minh Kieu, Iris Brighid Meredith, A. Raith","doi":"10.1007/s42421-023-00079-6","DOIUrl":"https://doi.org/10.1007/s42421-023-00079-6","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131260779","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
Deep Reinforcement Learning-Based Short-Term Traffic Signal Optimizing Using Disaggregated Vehicle Data 基于深度强化学习的分解车辆数据短期交通信号优化
Data Science for Transportation Pub Date : 2023-07-25 DOI: 10.1007/s42421-023-00074-x
Kazi Redwan Shabab, Syed Mostaquim Ali, Mohamed H. Zaki
{"title":"Deep Reinforcement Learning-Based Short-Term Traffic Signal Optimizing Using Disaggregated Vehicle Data","authors":"Kazi Redwan Shabab, Syed Mostaquim Ali, Mohamed H. Zaki","doi":"10.1007/s42421-023-00074-x","DOIUrl":"https://doi.org/10.1007/s42421-023-00074-x","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134546658","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
Explaining and Predicting Station Demand Patterns Using Google Popular Times Data 使用谷歌流行时间数据解释和预测电台需求模式
Data Science for Transportation Pub Date : 2023-06-26 DOI: 10.1007/s42421-023-00072-z
Teethat Vongvanich, Wenzhe Sun, Jan-Dirk Schmöcker
{"title":"Explaining and Predicting Station Demand Patterns Using Google Popular Times Data","authors":"Teethat Vongvanich, Wenzhe Sun, Jan-Dirk Schmöcker","doi":"10.1007/s42421-023-00072-z","DOIUrl":"https://doi.org/10.1007/s42421-023-00072-z","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126250250","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: 4
Boxes-Based Representation and Data Sharing of Road Surface Friction for CAVs 基于箱形的自动驾驶汽车路面摩擦表征与数据共享
Data Science for Transportation Pub Date : 2023-06-01 DOI: 10.1007/s42421-023-00071-0
Liming Gao, Juliette Mitrovich, C. Beal, Wushuang Bai, S. Maddipatla, Cindy Chen, Kshitij Jerath, H. Haeri, Lorina Sinanaj, Sean Brennan
{"title":"Boxes-Based Representation and Data Sharing of Road Surface Friction for CAVs","authors":"Liming Gao, Juliette Mitrovich, C. Beal, Wushuang Bai, S. Maddipatla, Cindy Chen, Kshitij Jerath, H. Haeri, Lorina Sinanaj, Sean Brennan","doi":"10.1007/s42421-023-00071-0","DOIUrl":"https://doi.org/10.1007/s42421-023-00071-0","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132874542","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 Probabilistic Simulation Framework to Assess the Impacts of Ridesharing and Congestion Charging in New York City 基于概率模拟框架评估纽约市拼车和拥堵收费的影响
Data Science for Transportation Pub Date : 2023-05-30 DOI: 10.1007/s42421-023-00066-x
Devashish Khulbe, Chaogui Kang, S. Ukkusuri, Stanislav Sobolevsky
{"title":"A Probabilistic Simulation Framework to Assess the Impacts of Ridesharing and Congestion Charging in New York City","authors":"Devashish Khulbe, Chaogui Kang, S. Ukkusuri, Stanislav Sobolevsky","doi":"10.1007/s42421-023-00066-x","DOIUrl":"https://doi.org/10.1007/s42421-023-00066-x","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128445043","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
Traffic Data on-the-Fly: Developing a Statewide Crosswalk Inventory Using Artificial Intelligence and Aerial Images (AI2) for Pedestrian Safety Policy Improvements in Florida 动态交通数据:利用人工智能和航空图像(AI2)开发全州人行横道清单，以改善佛罗里达州的行人安全政策
Data Science for Transportation Pub Date : 2023-04-18 DOI: 10.1007/s42421-023-00070-1
A. Karaer, Will Kaczmarek, Emily Mank, M. Ghorbanzadeh, Mohammadreza Koloushani, M. Dulebenets, R. Moses, T. Sando, E. Ozguven
{"title":"Traffic Data on-the-Fly: Developing a Statewide Crosswalk Inventory Using Artificial Intelligence and Aerial Images (AI2) for Pedestrian Safety Policy Improvements in Florida","authors":"A. Karaer, Will Kaczmarek, Emily Mank, M. Ghorbanzadeh, Mohammadreza Koloushani, M. Dulebenets, R. Moses, T. Sando, E. Ozguven","doi":"10.1007/s42421-023-00070-1","DOIUrl":"https://doi.org/10.1007/s42421-023-00070-1","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121649292","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
Driver Classification Using Self-reported, Psychophysiological, and Performance Metrics Within a Simulated Environment 驾驶员分类使用自我报告，心理生理和性能指标在模拟环境
Data Science for Transportation Pub Date : 2023-04-12 DOI: 10.1007/s42421-023-00069-8
V. Kummetha, Umair Durrani, Justin R. Mason, Sisinnio Concas, A. Kondyli
{"title":"Driver Classification Using Self-reported, Psychophysiological, and Performance Metrics Within a Simulated Environment","authors":"V. Kummetha, Umair Durrani, Justin R. Mason, Sisinnio Concas, A. Kondyli","doi":"10.1007/s42421-023-00069-8","DOIUrl":"https://doi.org/10.1007/s42421-023-00069-8","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130183368","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
Appraising Machine and Deep Learning Techniques for Traffic Conflict Prediction with Class Imbalance 基于类别不平衡的交通冲突预测评估机器和深度学习技术
Data Science for Transportation Pub Date : 2023-04-06 DOI: 10.1007/s42421-023-00067-w
Nicolette Formosa, M. Quddus, Cheuk Ki Man, A. Timmis
{"title":"Appraising Machine and Deep Learning Techniques for Traffic Conflict Prediction with Class Imbalance","authors":"Nicolette Formosa, M. Quddus, Cheuk Ki Man, A. Timmis","doi":"10.1007/s42421-023-00067-w","DOIUrl":"https://doi.org/10.1007/s42421-023-00067-w","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125921123","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
Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction 探索开源大数据和机器学习在共享出行车队利用率预测中的潜力
Data Science for Transportation Pub Date : 2023-04-06 DOI: 10.1007/s42421-023-00068-9
Mohamed Abouelela, Cheng Lyu, C. Antoniou
{"title":"Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction","authors":"Mohamed Abouelela, Cheng Lyu, C. Antoniou","doi":"10.1007/s42421-023-00068-9","DOIUrl":"https://doi.org/10.1007/s42421-023-00068-9","url":null,"abstract":"","PeriodicalId":336136,"journal":{"name":"Data Science for Transportation","volume":"29 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132871399","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
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