By Topic

Intelligent Transportation Systems Magazine, IEEE

Issue 1 • Date Spring 2014

Filter Results

Displaying Results 1 - 16 of 16
  • [Front Cover]

    Page(s): C1
    Save to Project icon | Request Permissions | PDF file iconPDF (665 KB)  
    Freely Available from IEEE
  • [Table of Contents]

    Page(s): 1
    Save to Project icon | Request Permissions | PDF file iconPDF (330 KB)  
    Freely Available from IEEE
  • Editorial Board

    Page(s): 2
    Save to Project icon | Request Permissions | PDF file iconPDF (269 KB)  
    Freely Available from IEEE
  • New Year and New Beginnings [Editor's Column]

    Page(s): 2
    Save to Project icon | Request Permissions | PDF file iconPDF (262 KB)  
    Freely Available from IEEE
  • [President's Message]

    Page(s): 4 - 5
    Save to Project icon | Request Permissions | PDF file iconPDF (371 KB)  
    Freely Available from IEEE
  • Modeling Microscopic Freeway Traffic Using Cusp Catastrophe Theory

    Page(s): 6 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1426 KB) |  | HTML iconHTML  

    This paper proposes a framework based on stochastic cusp catastrophe theory to model microscopic freeway traffic flow. The approach considers that each driver-regardless of being aggressive or timid-may shift his/her behavior and behave aggressively or timidly during driving. Based on the proposed modeling approach, the spacing of a driver is a function of his speed and acceleration. Moreover, the driver's behavior comprises of two equilibrium states-being aggressive or timid-and a shift between these states is considered to occur as a catastrophe phenomenon. Different models are developed with varying sampling intervals, while some of them possess memory properties. Results show that the cusp catastrophe model may accurately describe microscopic traffic, especially when compared to linear or logistic models. Results for models with memory are even more promising. Based on the proposed method, preliminary results on the critical regions of breakdown conditions or attitude shifting are described and discussed. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Framework for Supporting Network Continuity in Vehicular IPv6 Communications

    Page(s): 17 - 34
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1575 KB) |  | HTML iconHTML  

    The appearance of recent standards about cooperative ITS architectures towards a reference communication stack has been an inflection point in the research about vehicular networks. The ISO Communication Access for Land Mobiles (CALM) and the ETSI European ITS communication architecture have paved the way towards real and interoperable vehicular cooperative systems. Within these convergent proposals, IPv6 communications are recognized as a key component to enable traffic efficiency and infotainment applications. The proper operation of these applications and the achievement of value-added ITS services require an uninterrupted network connectivity. This paper addresses this problem by proposing a novel communication stack to support the provision of continuous and secure IPv6 vehicular communications. The solution follows the ISO/ETSI guidelines for the development of cooperative ITS systems and is based on standardized technologies such as Network Mobility (NEMO) protocol to provide an integral management of IPv6mobility. The solution integrates IEEE 802.21 media independent handover services for optimizing the handover process. While the support to the handover optimization offered by the proposed ITS communication stack is demonstrated through a mobility use case, a real testbed supporting most of the communications features is developed to validate and assess the real performance of the stack design. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Agile Urban Parking Recommendation Service for Intelligent Vehicular Guiding System

    Page(s): 35 - 49
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2981 KB) |  | HTML iconHTML  

    Nowadays, Intelligent Transportation Systems (ITS) technologies are exploring a wide range of services such as freeway management, crash prevention & safety, driver assistance, and infotainment of drivers and/or passengers. In this paper, an agile urban parking recommendation service for vehicular intelligent guiding system is designed to facilitate city citizens with fully efficient, real-time and precise parking lot guiding suggestions for the sustainability of the future green city. The system offers drivers a friendly parking lot recommendation sequence and saves driver's time circling around by the accurate prediction of the successful parking probability in each parking lot. The proposed cost model constructs an optimal recommendation sequence considering successful parking probability and time to reach the parking lot. Through the collection and analysis of realistic records from parking lots in Taipei city, a prediction algorithm is developed to estimate the successful parking probability by using current available space counts. Extensive experiments are conducted to demonstrate the effectiveness of the prediction algorithm. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Estimating Required Probe Vehicle Re-identification Requirements for Characterizing Link Travel Times

    Page(s): 50 - 58
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2056 KB) |  | HTML iconHTML  

    In the 1970s a framework was developed by Oppenlander to determine the sample size required for travel time estimation studies. This framework is still recommended today. This paper develops a new framework to improve upon the ideas set forth by Oppenlander. This new framework is based upon the Kullback-Leibler divergence. It allows for travel time studies to be evaluated in a more comprehensive way. Travel time estimation methods can now be evaluated on their ability to estimate travel time distributions instead of only the mean travel time. Also, this framework can be used on any travel time distribution whereas the Oppenlander framework was only properly suited for Gaussian distributions. The Kullback-Leibler divergence also allows for comparing both ID matching (i.e., small sample sizes with no erroneous travel times) and signature matching (i.e., large sample sizes mixed with some erroneous travel times) travel time estimation algorithms to be evaluated, while the Oppenlander framework was best suited for the ID matching algorithms. In this paper the Kullback-Leibler comparison framework for travel time studies is developed. The framework is then used to provide a comparison of an example ID matching and an example signature matching algorithm to demonstrate how both can be evaluated in a single framework. Finally, conclusions are made about the usefulness of the Kullback-Leibler comparison framework. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • License Plate Recognition: A Brief Tutorial

    Page(s): 59 - 67
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1649 KB)  

    In this paper we present a brief tutorial on the well-studied, but not fully solved, problem of LPR(license plate recognition). The main goal is to provide the young researcher with sufficient information about this topic and possible solutions giving emphasis on image processing techniques. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Vehicles as Information Hubs During Disasters: Glueing Wi-Fi to TV White Space to Cellular Networks

    Page(s): 68 - 71
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2139 KB)  

    This paper is a brief description of the small scale field demonstration we presented at the ITS World Congress 2013 in Tokyo. We showed that during disasters vehicles can act as information hubs conveying human or machine centric information from an area where the telecommunications network is disrupted, to an area where the telecommunications infrastructure is available. The demonstration was a combination of different means of communication technologies including Wi-Fi, TV white space, cellular networks, and the movement of the vehicles themselves. Use of the TV white space for inter-vehicle communications was the first trial carried out in any metropolitan area in the world. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Philip J. Tarnoff [ITS People]

    Page(s): 72 - 73
    Save to Project icon | Request Permissions | PDF file iconPDF (786 KB)  
    Freely Available from IEEE
  • IEEE International Conference on Intelligent Rail Transportation [Conference Report]

    Page(s): 74 - 75
    Save to Project icon | Request Permissions | PDF file iconPDF (1163 KB)  
    Freely Available from IEEE
  • Women in Engineering

    Page(s): 76 - 77
    Save to Project icon | Request Permissions | PDF file iconPDF (799 KB)  
    Freely Available from IEEE
  • [Calendar]

    Page(s): 78
    Save to Project icon | Request Permissions | PDF file iconPDF (181 KB)  
    Freely Available from IEEE
  • [ITS Fun]

    Page(s): 80 - C3
    Save to Project icon | Request Permissions | PDF file iconPDF (1215 KB)  
    Freely Available from IEEE

Aims & Scope

The IEEE Intelligent Transportation Systems Magazine (ITSM) publishes peer-reviewed articles that provide innovative research ideas and application results, report significant application case studies, and raise awareness of pressing research and application challenges in all areas of intelligent transportation systems. 

Full Aims & Scope

Meet Our Editors

Editor-in-Chief


Miguel Ángel Sotelo

Department of Computer Engineering

University of Alcalá