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Intelligent Transportation Systems, IEEE Transactions on

Issue 1 • Date March 2004

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Displaying Results 1 - 11 of 11
  • Table of contents

    Publication Year: 2004 , Page(s): c1
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  • IEEE Transactions on Intelligent Transportation Systems publication information

    Publication Year: 2004 , Page(s): c2
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  • Evaluation of adaptive neural network models for freeway incident detection

    Publication Year: 2004 , Page(s): 1 - 11
    Cited by:  Papers (26)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (280 KB) |  | HTML iconHTML  

    Automated incident detection is an essential component of a modern freeway traffic monitoring system. A number of neural network (NN)-based incident detection models have been tested independently over the past decade. This paper evaluates the adaptability of three promising NN models for this problem: a multilayer feed-forward NN (MLFNN), a basic probabilistic NN (BPNN) and a constructive probabilistic NN (CPNN). These three models have been developed on an original freeway site in Singapore and then adapted to a new freeway site in California. In addition to their incident detection performance, their ability to adapt to new freeway sites, and network sizes have also been compared. A novel updating scheme has been used for adjustment of smoothing parameter of the BPNN. Results of this study show that the MLFNN model has the best incident detection performance at the development site while CPNN model has the best performance after model adaptation at the new site. In addition, the adaptation method for CPNN model is less laborious. The efficient network pruning procedure for the CPNN network resulted in a smaller network size, making it easier to implement it for real-time application. The results suggest that CPNN model has good potential for application in an operational automatic incident detection system for freeways. View full abstract»

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  • Infrared transmission for intervehicle ranging and vehicle-to-roadside communication systems using spread-spectrum technique

    Publication Year: 2004 , Page(s): 12 - 19
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (416 KB) |  | HTML iconHTML  

    In this paper, an infrared intervehicle ranging and vehicle-to-roadside communication systems are studied. A direct-sequence spread-spectrum (DS-SS) technology is employed to obtain the robustness against multiuser interference and ambient light noise. We compare the correlation properties for various optical spreading codes such as an optical orthogonal code (OOC), a prime code, an extended prime code, and a modified m-sequence. The performance of the infrared DS-SS ranging and communication system is evaluated by computer simulation over a channel in consideration of multipath dispersion, multiuser interference, and a background light noise. The infrared DS-SS intervehicle ranging system using an OOC has lower ranging error rate (RER) than ranging systems using a prime code, an extended prime code, and modified m-sequences even if there is the interference from other users and lightwave dispersion. In the infrared DS-SS vehicle-to-roadside communication system, L-ary pulse position modulation (L-PPM) is used as a modulation scheme due to high average power efficiency. It is shown that the proposed system achieves smaller BER performance as the modulation order L increases and the proposed system with a (361,6,1,1) OOC has a smaller BER than that with a (181,6,1,1) OOC. View full abstract»

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  • Minimum sensor second-order sliding mode longitudinal control of passenger vehicles

    Publication Year: 2004 , Page(s): 20 - 32
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (448 KB) |  | HTML iconHTML  

    In this paper, a minimum sensor variable structure control strategy for cruise and tracking longitudinal control of vehicles has been proposed. It relies on the generation of "second-order" sliding regimes, i.e., sliding modes characterized by an identically derivative of the sliding variable. Because of the lack of measurements, the use of suitably designed observers is exploited in the paper. On the whole, the proposed strategy is designed so as to guarantee a bounded jerk and to avoid too frequent changes between the use of the accelerator and the brake. The control strategy is robust with respect to matched bounded parameters variations, and uncertainties. View full abstract»

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  • Predictive multiple sampling algorithm with overlapping integration intervals for linear wide dynamic range integrating image sensors

    Publication Year: 2004 , Page(s): 33 - 41
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (632 KB) |  | HTML iconHTML  

    Many tasks performed by intelligent transportation systems involve processing of natural scenes. Wide dynamic range visible spectrum image sensors are required to achieve optimal processing performance. Recently several approaches that rely on the multiple sampling technique to achieve wide dynamic range have been presented. The behavior of a novel predictive variant of these algorithms is analyzed together with its key assumptions and limits to its performance and flexibility. View full abstract»

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  • Automatic license plate recognition

    Publication Year: 2004 , Page(s): 42 - 53
    Cited by:  Papers (180)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (728 KB) |  | HTML iconHTML  

    Automatic license plate recognition (LPR) plays an important role in numerous applications and a number of techniques have been proposed. However, most of them worked under restricted conditions, such as fixed illumination, limited vehicle speed, designated routes, and stationary backgrounds. In this study, as few constraints as possible on the working environment are considered. The proposed LPR technique consists of two main modules: a license plate locating module and a license number identification module. The former characterized by fuzzy disciplines attempts to extract license plates from an input image, while the latter conceptualized in terms of neural subjects aims to identify the number present in a license plate. Experiments have been conducted for the respective modules. In the experiment on locating license plates, 1088 images taken from various scenes and under different conditions were employed. Of which, 23 images have been failed to locate the license plates present in the images; the license plate location rate of success is 97.9%. In the experiment on identifying license number, 1065 images, from which license plates have been successfully located, were used. Of which, 47 images have been failed to identify the numbers of the license plates located in the images; the identification rate of success is 95.6%. Combining the above two rates, the overall rate of success for our LPR algorithm is 93.7%. View full abstract»

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  • Join IEEE

    Publication Year: 2004 , Page(s): 54
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  • IEEE copyright form

    Publication Year: 2004 , Page(s): 55 - 56
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  • IEEE Intelligent Transportation Systems Council Information

    Publication Year: 2004 , Page(s): c3
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  • IEEE Transactions on Intelligent Transportation Systems - Information for authors

    Publication Year: 2004 , Page(s): c4
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Aims & Scope

The IEEE Transactions on ITS is concerned with the design, analysis, and control of information technology as it is applied to transportation systems. The IEEE ITS Transactions is focused on the numerous technical aspects of ITS technologies spanned by the IEEE. Transportation systems are invariably complex, and their complexity arises from many sources. Transportation systems can involve humans, vehicles, shipments, information technology, and the physical infrastructure, all interacting in complex ways. Many aspects of transportation systems are uncertain, dynamic and nonlinear, and such systems may be highly sensitive to perturbations. Controls can involve multiple agents that (and/or who) are distributed and hierarchical. Humans who invariably play critical roles in a transportation system have a diversity of objectives and a wide range of skills and education. Transportation systems are usually large-scale in nature and are invariably geographically distributed.

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Meet Our Editors

Editor-in-Chief
Fei-Yue Wang
Professor
University of Arizona