Estimating accurate travel time information is one of the fundamental tasks in controlling city traffic. In general, fuzing multiple sensors can generate more accurate information to measure traffi...
{"title":"Fuzing multiple erroneous sensors to estimate travel time","authors":"Fatemeh Banani Ardecani, Ahmadreza Mahmoudzadeh, Mahmoud Mesbah","doi":"10.1080/15472450.2024.2315514","DOIUrl":"https://doi.org/10.1080/15472450.2024.2315514","url":null,"abstract":"Estimating accurate travel time information is one of the fundamental tasks in controlling city traffic. In general, fuzing multiple sensors can generate more accurate information to measure traffi...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"30 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139765852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.1080/15472450.2024.2315126
Eui-Jin Kim, Min-Ji Kang, Shin Hyoung Park
Incident clearance time prediction is a key task for traffic incident management. A hazard-based duration model is a prevalent approach for predicting and analyzing the incident clearance time, whi...
{"title":"Deep survival analysis model for incident clearance time prediction","authors":"Eui-Jin Kim, Min-Ji Kang, Shin Hyoung Park","doi":"10.1080/15472450.2024.2315126","DOIUrl":"https://doi.org/10.1080/15472450.2024.2315126","url":null,"abstract":"Incident clearance time prediction is a key task for traffic incident management. A hazard-based duration model is a prevalent approach for predicting and analyzing the incident clearance time, whi...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"3 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139765955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-08DOI: 10.1080/15472450.2024.2312808
Yunjong Kim, Kawon Kang, Nuri Park, Juneyoung Park, Cheol Oh
A variety of studies have been conducted to evaluate real-time crash risk using vehicle trajectory data and to establish active traffic safety management measures. Speed management is an effective ...
{"title":"Reinforcement learning approach to develop variable speed limit strategy using vehicle data and simulations","authors":"Yunjong Kim, Kawon Kang, Nuri Park, Juneyoung Park, Cheol Oh","doi":"10.1080/15472450.2024.2312808","DOIUrl":"https://doi.org/10.1080/15472450.2024.2312808","url":null,"abstract":"A variety of studies have been conducted to evaluate real-time crash risk using vehicle trajectory data and to establish active traffic safety management measures. Speed management is an effective ...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"26 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139765627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-08DOI: 10.1080/15472450.2024.2312809
Jingqin Gao, Kaan Ozbay, Yu Hu
The escalating congestion impacts of short-term traffic disruptions, such as double parking or short-duration work zones, are gaining increased attention. This study introduces an enhanced isolatio...
{"title":"Real-time anomaly detection of short-term traffic disruptions in urban areas through adaptive isolation forest","authors":"Jingqin Gao, Kaan Ozbay, Yu Hu","doi":"10.1080/15472450.2024.2312809","DOIUrl":"https://doi.org/10.1080/15472450.2024.2312809","url":null,"abstract":"The escalating congestion impacts of short-term traffic disruptions, such as double parking or short-duration work zones, are gaining increased attention. This study introduces an enhanced isolatio...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"6 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139766830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study carried out a simulator test to determine and predict the duration of reduced driver performance during the automated driving takeover process. Vehicle trajectory and driver behavior dat...
{"title":"Predicting the duration of reduced driver performance during the automated driving takeover process","authors":"Changshuai Wang, Chengcheng Xu, Chang Peng, Hao Tong, Weilin Ren, Yanli Jiao","doi":"10.1080/15472450.2024.2307029","DOIUrl":"https://doi.org/10.1080/15472450.2024.2307029","url":null,"abstract":"This study carried out a simulator test to determine and predict the duration of reduced driver performance during the automated driving takeover process. Vehicle trajectory and driver behavior dat...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"41 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139765625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1080/15472450.2023.2301691
Haotian Shi, Shuoxuan Dong, Yuankai Wu, Qinghui Nie, Yang Zhou, Bin Ran
Car-following trajectory generation and anomaly detection are critical functions in the sensing module of an automated vehicle. However, developing models that capture realistic trajectory data dis...
{"title":"Generative adversarial network for car following trajectory generation and anomaly detection","authors":"Haotian Shi, Shuoxuan Dong, Yuankai Wu, Qinghui Nie, Yang Zhou, Bin Ran","doi":"10.1080/15472450.2023.2301691","DOIUrl":"https://doi.org/10.1080/15472450.2023.2301691","url":null,"abstract":"Car-following trajectory generation and anomaly detection are critical functions in the sensing module of an automated vehicle. However, developing models that capture realistic trajectory data dis...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"133 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139766121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1080/15472450.2024.2307027
Yangbeibei Ji, Jingwen Liu, Hanwan Jiang, Xinru Xing, Wurong Fu, Xueqing Lu
Autonomous driving technology has the potential to alter the way we travel and is rapidly evolving. Sharing rides in autonomous vehicles may become a popular mode of public transportation in the fu...
{"title":"Optimal lane allocation strategy for shared autonomous vehicles mixed with regular vehicles","authors":"Yangbeibei Ji, Jingwen Liu, Hanwan Jiang, Xinru Xing, Wurong Fu, Xueqing Lu","doi":"10.1080/15472450.2024.2307027","DOIUrl":"https://doi.org/10.1080/15472450.2024.2307027","url":null,"abstract":"Autonomous driving technology has the potential to alter the way we travel and is rapidly evolving. Sharing rides in autonomous vehicles may become a popular mode of public transportation in the fu...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"76 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139765624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-23DOI: 10.1080/15472450.2024.2307026
Jiawen Wang, Yudi Zhang, Jing Zhao, Chunjian Shang, Xinwei Wang
Pedestrian traffic management and control at intersections is crucial for ensuring traffic safety and efficiency while promoting green transportation development. Numerous studies have been conduct...
{"title":"Unified strategy for cooperative optimization of pedestrian control patterns and signal timing plans at intersections","authors":"Jiawen Wang, Yudi Zhang, Jing Zhao, Chunjian Shang, Xinwei Wang","doi":"10.1080/15472450.2024.2307026","DOIUrl":"https://doi.org/10.1080/15472450.2024.2307026","url":null,"abstract":"Pedestrian traffic management and control at intersections is crucial for ensuring traffic safety and efficiency while promoting green transportation development. Numerous studies have been conduct...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"38 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139561759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-15DOI: 10.1080/15472450.2023.2301696
Xiaobo Ma, Abolfazl Karimpour, Yao-Jan Wu
To develop the most appropriate control strategy and monitor, maintain, and evaluate the traffic performance of the freeway weaving areas, state and local Departments of Transportation need to have...
为了制定最合适的控制策略，监测、维护和评估高速公路交织区的交通性能，各州和地方交通部门需要...
{"title":"Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows","authors":"Xiaobo Ma, Abolfazl Karimpour, Yao-Jan Wu","doi":"10.1080/15472450.2023.2301696","DOIUrl":"https://doi.org/10.1080/15472450.2023.2301696","url":null,"abstract":"To develop the most appropriate control strategy and monitor, maintain, and evaluate the traffic performance of the freeway weaving areas, state and local Departments of Transportation need to have...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"2 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139470605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-10DOI: 10.1080/15472450.2023.2301707
Li Zhuang, Xinyue Wu, Andy H. F. Chow, Wei Ma, William H.K Lam, S. C. Wong
This paper presents a distribution-free reliability-based prediction approach for estimating journey time intervals with multi-source data using a two-stream deep learning framework. The prediction...
{"title":"Reliability-based journey time prediction via two-stream deep learning with multi-source data","authors":"Li Zhuang, Xinyue Wu, Andy H. F. Chow, Wei Ma, William H.K Lam, S. C. Wong","doi":"10.1080/15472450.2023.2301707","DOIUrl":"https://doi.org/10.1080/15472450.2023.2301707","url":null,"abstract":"This paper presents a distribution-free reliability-based prediction approach for estimating journey time intervals with multi-source data using a two-stream deep learning framework. The prediction...","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"54 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139463577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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