Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kong, Seung-Hyun | - |
dc.contributor.author | Lv, Yisheng | - |
dc.contributor.author | Vu, Hai L. | - |
dc.contributor.author | Cano, Juan-Carlos | - |
dc.contributor.author | Choi, Jun-Won | - |
dc.contributor.author | Kum, Dongsuk | - |
dc.contributor.author | Morris, Brendan Tran | - |
dc.date.accessioned | 2022-07-09T03:42:16Z | - |
dc.date.available | 2022-07-09T03:42:16Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 1524-9050 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/147026 | - |
dc.description.abstract | There has been an increasing level of demand for faster, safer and greener transportation systems with higher levels of capacity and convenience, though the implementation of transportation systems overall is often restricted by geographical limitations, presenting a challenge to scientists and engineers in the field. However, we have been witnessing the evolution of the transportation systems over the last few decades, and at present we are facing a new era of intelligent transportation systems (ITS) empowered by artificial intelligence (AI) technologies. There have been classification, deep learning, and reinforcement learning techniques, to name a few, which collectively have enabled almost all technical elements of the ITS. For example, autonomous vehicle technologies are now mature enough to introduce self-driving cars, taxis, buses, and trucks on the roads and streets; traffic signals are controlled by AI-based systems for far more enhanced traffic efficiency; and machine learning based on big data is improving the operational performance of transportation systems to the next level of safety, efficiency, and sustainability. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Jun-Won | - |
dc.identifier.doi | 10.1109/TITS.2019.2940856 | - |
dc.identifier.scopusid | 2-s2.0-85077629175 | - |
dc.identifier.wosid | 000489747100017 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.20, no.10, pp.3765 - 3770 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |
dc.citation.title | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |
dc.citation.volume | 20 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 3765 | - |
dc.citation.endPage | 3770 | - |
dc.type.rims | ART | - |
dc.type.docType | Editorial Material | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.identifier.url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8854960 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.