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Transport Volume 27, 2012 - Issue 2
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Original Articles

Improved iterative prediction for multiple stop arrival time using a support vector machine

Chang-Jiang Zheng College of Civil and Transportation Engineering, Hohai University, 1 Xikang Road, 210098, Nanjing, PR ChinaCorrespondence[email protected]
,
Yi-Hua Zhang College of Civil and Transportation Engineering, Hohai University, 1 Xikang Road, 210098, Nanjing, PR China
&
Xue-Jun Feng College of Civil and Transportation Engineering, Hohai University, 1 Xikang Road, 210098, Nanjing, PR China
Pages 158-164 | Received 26 Mar 2011, Accepted 01 Jun 2011, Published online: 26 Jun 2012

Citations (15)

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Felipe González, Vicente Valdivieso, Louis De Grange & Rodrigo Troncoso. (2019) Impact of the dedicated infrastructure on bus service quality: an empirical analysis. Applied Economics 51:55, pages 5961-5971.
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Articles from other publishers (14)

Tielle Alexandre, Flávia Bernardini, José Viterbo & Carlos Eduardo Pantoja. (2023) Machine Learning Applied to Public Transportation by Bus: A Systematic Literature Review. Transportation Research Record: Journal of the Transportation Research Board 2677:7, pages 639-660.
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Changlin Li, Shuai Lin, Honglei Zhang, Hongke Zhao, Lishan Liu & Ning Jia. (2023) A Sequence and Network Embedding Method for Bus Arrival Time Prediction Using GPS Trajectory Data Only. IEEE Transactions on Intelligent Transportation Systems 24:5, pages 5024-5038.
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David López & Angélica Lozano. (2022) Real-Time Information for Transit Arrivals: A Review. Real-Time Information for Transit Arrivals: A Review.
Nisha Singh & Kranti Kumar. (2022) A review of bus arrival time prediction using artificial intelligence. WIREs Data Mining and Knowledge Discovery 12:4.
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Xuemei Zhou, Zhen Guan, Yusong Pang, Xiangfeng Ji & Xiaodan Lin. (2022) Health diagnosis of bus operation based on multi‐source data. IET Intelligent Transport Systems 16:6, pages 754-768.
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Yong Liu, Na Zhao, Wei Han & Qinghua Zhu. (2021) User Behavior Patterns and Activity Recognition Based on Mobile Big Data. User Behavior Patterns and Activity Recognition Based on Mobile Big Data.
Xuemei Zhou, Zhen Guan, Jiaojiao Xi & Guohui Wei. (2021) Public Transportation Operational Health Assessment Based on Multi-Source Data. Applied Sciences 11:22, pages 10611.
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Asad Abdi & Chintan Amrit. (2021) A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities. PeerJ Computer Science 7, pages e689.
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Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins & Fangzhou Xu. (2020) BusTr. BusTr.
Xiangru Zhang & Zhaohui Liu. (2019) Prediction of Bus Arrival Time based on GPS Data: Taking No. 6 Bus in Huangdao District of Qingdao City as an Example. Prediction of Bus Arrival Time based on GPS Data: Taking No. 6 Bus in Huangdao District of Qingdao City as an Example.
Xuedong Hua, Wei Wang, Yinhai Wang & Min Ren. (2017) Bus arrival time prediction using mixed multi-route arrival time data at previous stop. Transport 33:2, pages 543-554.
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Tingting Yin, Gang Zhong, Jian Zhang, Shanglu He & Bin Ran. (2017) A prediction model of bus arrival time at stops with multi-routes. Transportation Research Procedia 25, pages 4623-4636.
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Nikolas Julio, Ricardo Giesen & Pedro Lizana. (2016) Real-time prediction of bus travel speeds using traffic shockwaves and machine learning algorithms. Research in Transportation Economics 59, pages 250-257.
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Masoud Fadaei Oshyani & Oded Cats. (2014) Real-time bus departure time predictions: Vehicle trajectory and countdown display analysis. Real-time bus departure time predictions: Vehicle trajectory and countdown display analysis.

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