Knowledge Distillation for Travel Time Estimation

doi:10.1109/TITS.2024.3374325

	Knowledge Distillation for Travel Time Estimation
	Zhang, Haichao 1; Zhao, Fang 1; Wang, Chenxing 1; Luo, Haiyong 2; Xiong, Haoyu 1; Fang, Yuchen 1
	2024-03-22
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
页码	12
摘要	Travel time estimation(TTE) is a critical component of intelligent transportation systems. To achieve efficient and accurate trajectory-based travel time estimation, it is essential to design a streamlined model that reduces computation and memory costs. However, this is challenging as traditional deep neural networks are limited in their calculation capabilities and can be cumbersome due to the high number of model parameters. To overcome these challenges, we propose a novel approach to travel time estimation, utilizing a well-designed deep neural network model called Knowledge Distillation for Travel Time Estimation (KDTTE). By implementing knowledge distillation techniques, the model's computational and memory requirements are reduced, while simultaneously improving its accuracy. The student model leverages the knowledge of the Teacher model to learn features it would not have been able to on its own, thereby enhancing the overall accuracy of the model. Our approach, referred to as KDTTE, was tested on two real-world datasets and showed improved accuracy compared to nine state-of-the-art baselines, demonstrating a 34.0% and 86.8% increase in accuracy on the Chengdu and Porto datasets, respectively.
关键词	Computational modeling Trajectory Roads Global Positioning System Predictive models Estimation Context modeling Spatial-travel time estimation temporal data mining knowledge distillation deep learning
DOI	10.1109/TITS.2024.3374325
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:001193997400001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38771
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Fang; Luo, Haiyong
作者单位	1.Beijing Univ Posts & Telecommun, Sch Comp Sci, Natl Pilot Software Engn Sch, Beijing 100876, Peoples R China 2.Chinese Acad Sci, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Haichao,Zhao, Fang,Wang, Chenxing,et al. Knowledge Distillation for Travel Time Estimation[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2024:12.
APA	Zhang, Haichao,Zhao, Fang,Wang, Chenxing,Luo, Haiyong,Xiong, Haoyu,&Fang, Yuchen.(2024).Knowledge Distillation for Travel Time Estimation.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,12.
MLA	Zhang, Haichao,et al."Knowledge Distillation for Travel Time Estimation".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2024):12.