Traffic Incident Detection from Massive Multivariate Time-Series Data
Automatic incident detection (AID) aims to programatically detect vehicle traffic incidents from real-time traffic data, and improvements in AID are vital for future technology such as smart-city traffic planning. In this research we use a simple machine
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Yujiu Yang Lei Yu Liang-Jie Zhang (Eds.)
Cognitive Computing – ICCC 2020 4th International Conference Held as Part of the Services Conference Federation, SCF 2020 Honolulu, HI, USA, September 18–20, 2020, Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/7409
Yujiu Yang Lei Yu Liang-Jie Zhang (Eds.) •
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Cognitive Computing – ICCC 2020 4th International Conference Held as Part of the Services Conference Federation, SCF 2020 Honolulu, HI, USA, September 18–20, 2020 Proceedings
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Editors Yujiu Yang Tsinghua Shenzhen International Graduate School Shenzhen, China
Lei Yu IBM Research – Thomas J. Watson Research New York, NY, USA
Liang-Jie Zhang Kingdee International Software Group Co., Ltd, Shenzhen, China
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-59584-5 ISBN 978-3-030-59585-2 (eBook) https://doi.org/10.1007/978-3-030-59585-2 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The International Conference on Cognitive Computing (ICCC) was created to cover all aspects of Sensing Intelligence (SI) as a Service (SIaaS). Cognitive
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