Introduction to Intelligent Systems in Traffic and Transportatio....pdf

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Series ISSN: 1939-4608 SYNTHESIS LECTURES ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Series Editors: Ronald J. Brachman, Yahoo! Research William W. Cohen, Carnegie Mellon University Peter Stone, University of Texas at Austin Introduction to Intelligent Systems in Traffic and Transportation Ana L.C. Bazzan, Universidade Federal do Rio Grande do Sul (UFRGS) Franziska Klügl, Örebro University Urban mobility is not only one of the pillars of modern economic systems, but also a key issuein the quest for equality of opportunity, once it can improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, suchas economical issues (cost of opportunity caused by delays), environmental (externalities relatedto emissions of pollutants), and social (traffic accidents). Solutions to these issues are more andmore closely tied to information and communication technology. Indeed, a search in the technical literature (using the keyword “urban traffic” to filter out articles on data network traffic) retrievedthe following number of articles (as of December 3, 2013): 9,443 (ACM Digital Library), 26,054(Scopus), and 1,730,000 (Google Scholar). Moreover, articles listed in the ACM query relate toconferences as diverse as MobiCom, CHI, PADS, and AAMAS. This means that there is a bigand diverse community of computer scientists and computer engineers who tackle research that isconnected to the development of intelligent traffic and transportation systems. It is also possibleto see that this community is growing, and that research projects are getting more and more interdisciplinary. To foster the cooperation among the involved communities, this book aims at givinga broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology. In addition, the second part of the book gives a panorama of some of the most exciting and newest technologies, originating in computer science and computer engineering, that are now being employed inprojects related to car-to-car communication, interconnected vehicles, car navigation, platooning, crowd sensing and sensor networks, among others. This material will also be of interest toengineers and researchers from the traffic and transportation community. & CM& Morgan Claypool Publishers Introduction to Intelligent Systems in Traffic and Transportation Ana L.C. Bazzan Franziska Klügl B A Z Z A N • K L Ü G L I N T R O D U C T I O N T O I N T E L L I G E N T S Y S T E M S I N T R A F F I C A N D T R A N S P O R T A T I O N About SYNTHESIs This volume is a printed version of a work that appears in the Synthesis Digital Library of Engineering and Computer Science. Synthesis Lectures provide concise, original presentations of important research and development topics, published quickly, in digital and print formats. For more information visit www.morganclaypool.com & Morgan Claypool Publishers w w w . m o r g a n c l a y p o o l . c o m M O R G A N & C L A Y P O O L ISBN: 978-1-62705-207-8 90000 9 781627 052078 SYNTHESIS LECTURES ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Ronald J. Brachman, William W. Cohen, and Peter Stone, Series Editors

Introduction to Intelligent Systems in Traﬃc and Transportation

Synthesis Lectures on Artiﬁcial Intelligence and Machine Learning Editors Ronald J. Brachman, Yahoo! Research William W. Cohen, Carnegie Mellon University Peter Stone, University of Texas at Austin Introduction to Intelligent Systems in Traﬃc and Transportation Ana L.C. Bazzan and Franziska Klügl 2013 A Concise Introduction to Models and Methods for Automated Planning Hector Geﬀner and Blai Bonet 2013 Essential Principles for Autonomous Robotics Henry Hexmoor 2013 Case-Based Reasoning: A Concise Introduction Beatriz López 2013 Answer Set Solving in Practice Martin Gebser, Roland Kaminski, Benjamin Kaufmann, and Torsten Schaub 2012 Planning with Markov Decision Processes: An AI Perspective Mausam and Andrey Kolobov 2012 Active Learning Burr Settles 2012

iv Computational Aspects of Cooperative Game eory Georgios Chalkiadakis, Edith Elkind, and Michael Wooldridge 2011 Representations and Techniques for 3D Object Recognition and Scene Interpretation Derek Hoiem and Silvio Savarese 2011 A Short Introduction to Preferences: Between Artiﬁcial Intelligence and Social Choice Francesca Rossi, Kristen Brent Venable, and Toby Walsh 2011 Human Computation Edith Law and Luis von Ahn 2011 Trading Agents Michael P. Wellman 2011 Visual Object Recognition Kristen Grauman and Bastian Leibe 2011 Learning with Support Vector Machines Colin Campbell and Yiming Ying 2011 Algorithms for Reinforcement Learning Csaba Szepesvári 2010 Data Integration: e Relational Logic Approach Michael Genesereth 2010 Markov Logic: An Interface Layer for Artiﬁcial Intelligence Pedro Domingos and Daniel Lowd 2009 Introduction to Semi-Supervised Learning XiaojinZhu and Andrew B.Goldberg 2009 Action Programming Languages Michael ielscher 2008

v Representation Discovery using Harmonic Analysis Sridhar Mahadevan 2008 Essentials of Game eory: A Concise Multidisciplinary Introduction Kevin Leyton-Brown and Yoav Shoham 2008 A Concise Introduction to Multiagent Systems and Distributed Artiﬁcial Intelligence Nikos Vlassis 2007 Intelligent Autonomous Robotics: A Robot Soccer Case Study Peter Stone 2007

Copyright © 2014 by Morgan & Claypool All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher. Introduction to Intelligent Systems in Traﬃc and Transportation Ana L.C. Bazzan and Franziska Klügl www.morganclaypool.com ISBN: 9781627052078 ISBN: 9781627052085 paperback ebook DOI 10.2200/S00553ED1V01Y201312AIM025 A Publication in the Morgan & Claypool Publishers series SYNTHESIS LECTURES ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Lecture #25 Series Editors: Ronald J. Brachman, Yahoo Research William W. Cohen, Carnegie Mellon University Peter Stone, University of Texas at Austin Series ISSN Synthesis Lectures on Artiﬁcial Intelligence and Machine Learning Print 1939-4608 Electronic 1939-4616

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