Stochastic Evolutions of Dynamic Traffic Flow Modeling and Applicati
This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity distributions and subsequently develop a Markov car-fo
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chastic Evolutions of Dynamic Traffic Flow Modeling and Applications
Stochastic Evolutions of Dynamic Traffic Flow
Xiqun (Michael) Chen Li Li Qixin Shi
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Stochastic Evolutions of Dynamic Traffic Flow Modeling and Applications
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Xiqun (Michael) Chen University of Maryland College Park, MD USA
ISBN 978-3-662-44571-6 DOI 10.1007/978-3-662-44572-3
Li Li Qixin Shi Tsinghua University Beijing China
ISBN 978-3-662-44572-3
(eBook)
Jointly published with Tsinghua University Press, Beijing ISBN: 978-7-302-37479-4 Tsinghua University Press, Beijing Library of Congress Control Number: 2014948776 Springer Heidelberg New York Dordrecht London © Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2015 This work is subject to copyright. All rights are reserved by the Publishers, 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publishers’ locations, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publishers can accept any legal responsibility for any errors or omissions that may be made. The publishers make no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To Dandan, Cynthia, Yuexin and Shuhuai The families of Xiqun (Michael) Chen
Preface
Road traffic flow is intrinsic with stochastic and dynamic characteristics so that traditional deterministic theory no longer satisfies requirements of the evolution analysis. Stochastic traffic flow modeling aims to study relationships of transportation components. The kernel is an investigation of both stochastic characteristics and traffic congestion evolution mechanism using headway, spacing, and velocity distr
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