Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection

Published:2017-04-29 Issue:17 Volume:22 Page:5707-5718
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Fan Shu-Kai S.,Su Chuan-Jun,Nien Han-Tang,Tsai Pei-Fang,Cheng Chen-Yang

Funder

Ministry of Science and Technology (TW)

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-017-2610-y/fulltext.html

Reference28 articles.

1. Breiman L (2001a) Bagging predictors. Manuf Neth Mach Learn 24:123–140

2. Breiman L (2001b) Random forests. Manuf Neth Mach Learn 45:5–32

3. Chen M, Mao S, Liu Y (2014) Big data: a survey. Mob Netw Appl 19:171–209

4. Chen FH, Howard H (2016) An alternative model for the analysis of detecting electronic industries earnings management using stepwise regression, random forest, and decision tree. Soft Comput 20:1945–1960

5. Chien SI-J, Kuchipudi CM (2003) Dynamic travel time prediction with real-time and historic data. J Transp Eng 129(6):608–616

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smart Antenna System for Electronic Toll Collection with Vehicle Localization and Tracking using End Users' Smartphones with BLE;2024 9th International Conference on Smart and Sustainable Technologies (SpliTech);2024-06-25

2. Travel Time Reliability Estimation in Urban Road Networks: Utilization of Statistics Distribution and Tensor Decomposition;Journal of Advanced Transportation;2024-04-23

3. Towards intelligent transportation system: A comprehensive review of electronic toll collection systems;IET Intelligent Transport Systems;2024-03-10

4. Improving Real-Time Data Processing Performance Through Machine Learning;2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS);2023-12-28

5. Al-based Traffic System: A Novel Approach;2023 24th International Middle East Power System Conference (MEPCON);2023-12-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3