Finding a Taxi With Illegal Driver Substitution Activity via Behavior Modelings
文献类型:期刊论文
作者 | Pang, Junbiao1; Sabir, Muhammad Ayub1; Wang, Zuyun2; Hu, Anjing1; Yang, Xue3; Yu, Haitao3; Huang, Qingming4,5,6 |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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出版日期 | 2024-10-18 |
页码 | 11 |
关键词 | Illegal driver substitution activity behavior modeling multiple scale taxi supervision self-similarity pooling |
ISSN号 | 1524-9050 |
DOI | 10.1109/TITS.2024.3409744 |
英文摘要 | In our urban life, Illegal Driver Substitution (IDS) activity for a taxi is a grave unlawful activity in the taxi industry. Currently, the IDS activity is manually supervised by law enforcers, i.e., law enforcers empirically choose a taxi and inspect it. The pressing problem of this scheme is the dilemma between the limited number of law-enforcers and the large volume of taxis. In this paper, we propose a computational method that helps law enforcers efficiently find the taxis which tend to have the IDS activity. Firstly, our method converts the identification of the IDS activity to a supervised learning task. Secondly, two kinds of taxi driver behaviors, i.e., the Sleeping Time and Location (STL) behavior and the Pick-Up (PU) behavior are proposed. Thirdly, the multiple scale pooling on self-similarity is proposed to encode the individual behaviors into the universal features for all taxis. Finally, a Multiple Component-Multiple Instance Learning (MC-MIL) is proposed to handle the deficiency of the behavior features and to align the behavior features, simultaneously. Extensive experiments on a real-world data set shows that the proposed behavior features have a good generalization ability across different classifiers, and the proposed MC-MIL method suppresses the baseline methods. |
WOS研究方向 | Engineering ; Transportation |
语种 | 英语 |
WOS记录号 | WOS:001337880400001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
源URL | [http://119.78.100.204/handle/2XEOYT63/39497] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Pang, Junbiao |
作者单位 | 1.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China 2.Beijing Transportat Comprehens Law Enforcement Cor, Beijing 100044, Peoples R China 3.Beijing Intelligent Transportat Dev Ctr, Beijing 100161, Peoples R China 4.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 5.Chinese Acad Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Pang, Junbiao,Sabir, Muhammad Ayub,Wang, Zuyun,et al. Finding a Taxi With Illegal Driver Substitution Activity via Behavior Modelings[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2024:11. |
APA | Pang, Junbiao.,Sabir, Muhammad Ayub.,Wang, Zuyun.,Hu, Anjing.,Yang, Xue.,...&Huang, Qingming.(2024).Finding a Taxi With Illegal Driver Substitution Activity via Behavior Modelings.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,11. |
MLA | Pang, Junbiao,et al."Finding a Taxi With Illegal Driver Substitution Activity via Behavior Modelings".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2024):11. |
入库方式: OAI收割
来源:计算技术研究所
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