Download or read book Evaluation of Dual loop Data Accuracy Using Video Ground Truth Data written by Xiaoping Zhang and published by . This book was released on 2000 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of Dual loop Data Accuracy Using Video Ground Truth Data written by Nancy L. Nihan and published by . This book was released on 2002 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Traffic Simulation and Data written by Winnie Daamen and published by CRC Press. This book was released on 2014-09-17 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project-a European Cost Action project that incorpo
Download or read book Improved Dual loop Detection System for Collecting Real time Truck Data written by Nancy L. Nihan and published by . This book was released on 2005 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Length based Vehicle Classification Using Dual loop Data Under Congested Traffic Conditions written by Qingyi Ai and published by . This book was released on 2013 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: The accurate measurement of vehicle classification is a highly valued factor in traffic operation and management, validations of travel demand models, freight studies, and even emission impact analysis of traffic operation. Inductive loops are increasingly used specifically for traffic monitoring at highway traffic data collection sites. Many studies have proven that the vehicle speed can be estimated accurately by using dual-loop data under free traffic condition, and then vehicle lengths can be estimated accurately. The capability of measuring vehicle lengths makes dual-loop detectors a potential real-time data source for vehicle classification. However, the existing dual-loop length-based vehicle classification model was developed with an assumption that the difference of a vehicle's speed on the first and the second single loop is not significant. Under congested traffic flows, vehicles' speeds change frequently and even fiercely, and the assumption cannot be met any more. The outputs of the existing models have a high error rate under non-free traffic conditions (such as synchronized and stop-and-go congestion states). The errors may be contributed by the complex characteristics of traffic flows under congestion; but quantification of such contributing factors remains unclear. In this study, the dual-loop data and vehicle classification models were evaluated with concurred video ground-truth data. The mechanism of the length-based vehicle classification and relevant traffic flow characteristics were tried to be revealed. In order to obtain the ground-truth vehicle event data, the software VEVID (Vehicle Video-Capture Data Collector) was used to extract high-resolution vehicle trajectory data from the videotapes. This vehicle trajectory data was used to identify the errors and reasons of the vehicle classifications resulted from the existing dual-loop model. Meanwhile, a probe vehicle equipped with a Global Positioning System (GPS) data logger was used to set up reference points for VEVID and to collect traffic profile data under varied traffic flow states for developing the new model under stop-and-go traffic flow. The research has proven inability of the existing vehicle classification model in producing satisfactory estimates of vehicle lengths under congestion, i.e., synchronized or stop-and-go traffic states. The Vehicle Classification under Synchronized Traffic Model (VC-Sync model) was developed to estimate vehicle lengths against the synchronized traffic flow and the Vehicle Classification under Stop-and-Go Model (VC-Stog model) was developed to estimate vehicle lengths against the stop-and-go traffic flow. Compare to the existing models, under the congested traffic flows, the newly developed models have improved the accuracy of vehicle length estimation significantly. The contribution of this research is reflected in the following aspects: 1) An innovative VEVID-based approach is developed for evaluating the concurred dual-loop data and resulted vehicle classification and relevant traffic flow characteristics against video-based ground-truth vehicle event trajectory data, which is difficult to conduct with traditional approaches; 2) Innovative vehicle classification models for both synchronized traffic and stop-and-go traffic states are developed through such an evaluation process; 3) The algorithms for processing the dual-loop vehicle event raw data have been improved by considering the influence of traffic flow characteristics;. 4) A GPS-based approach is developed for setting up the reference points in field in conjunction with application of VEVID, which is proven a safety and efficient approach compared to traditional manual approaches. And the GPS-based travel profile data is greatly helpful in developing the new models.
Download or read book Transportation Research Record written by and published by . This book was released on 1974 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Improving Dual loop Truck and Speed Data written by Nancy L. Nihan and published by . This book was released on 2006 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Freeways High occupancy Vehicle Systems and Traffic Signal Systems 2003 written by National Research Council (U.S.). Transportation Research Board and published by . This book was released on 2003 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vehicle Classification from Single Loop Detectors written by Benjamin André Coifman and published by . This book was released on 2007 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Highway Travel Time Estimation With Data Fusion written by Francesc Soriguera Martí and published by Springer. This book was released on 2015-11-30 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.
Download or read book Evaluation of Some Existing Technologies for Vehicle Detection written by Dan R. Middleton and published by . This book was released on 1999 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most vehicle detection today relies on inductive loop detectors (ILDs). However, problems with installation and maintenance of these detectors have necessitated evaluation of alternative detection systems. Replacing ILDs with better detectors requires a thorough evaluation of the alternatives. This evaluation included examination of the functional quality, reliability, and cost of these technologies as well as development of recommendations for application. Primary detection technologies included in this study are video image detection systems (VIDS), passive infrared, active infrared, passive magnetic, radar, Doppler microwave, passive acoustic, and ILDs. Results of new detector testing clearly indicate promising alternatives to ILDs, but the limitations of these new detectors must also be accepted. Researchers found that some technologies performed quite well while, in some cases, offering features that are more flexible than ILDs. These technologies include VIDS, passive infrared, active infrared, radar, Doppler microwave, and pulse ultrasonic.
Download or read book Deliver a Set of Tools for Resolving Bad Inductive Loops and Correcting Bad Data written by Xiao-Yun Lu and published by . This book was released on 2012 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This project prototyped and demonstrated procedures to find and mitigate loop detector errors, and to derive more valuable data from loops. Specifically, methods were developed to find and isolate out loop data which is "bad" or invalid, so that mitigation means, or "fixes" can be implemented. Methods of extracting very accurate speed (+/- 3mph) and vehicle length data (+/- 1meter) from single loop stations were demonstrated to be much more accurate than current Caltrans practice. The validity of these methods were statistically proven using hundreds of thousands of vehicles. Additionally, more accurate and reliable methods of detecting the onset of both recurring or "incident" based congestion were demonstrated. These methods require access to the unprocessed loop detector card data. This unprocessed data can be acquired from the Log170 program, third party loop readers like the Infotek Wizard, or DRI's ubiquitous "C1 reader". DRI intends to implement many of these methodologies in the C1 reader client software, Videosync.
Download or read book Robotics Research written by Cédric Pradalier and published by Springer Science & Business Media. This book was released on 2011-05-02 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a collection of papers presented at the 14th International Symposium of Robotic Research (ISRR). ISRR is the biennial meeting of the International Foundation of Robotic Research (IFRR) and its 14th edition took place in Lucerne, Switzerland, from August 31st to September 3rd, 2009. As for the previous symposia, ISRR 2009 followed up on the successful concept of a mixture of invited contributions and open submissions. Half of the 48 presentations were therefore invited contributions from outstanding researchers selected by the IFRR officers, and half were chosen among the 66 submissions after peer review. This selection process resulted in a truly excellent technical program which, we believe, featured some of the very best of robotic research. Out of the 48 presentations, the 42 papers which were finally submitted for publication are organized in 8 sections that encompass the major research orientations in robotics: Navigation, Control & Planning, Human-Robot Interaction, Manipulation and Humanoids, Learning, Mapping, Multi-Robot Systems, and Micro-Robotics. They represent an excellent snapshot of cutting-edge research in robotics and outline future directions.
Download or read book State of the Art Evaluation of Traffic Detection and Monitoring Systems written by Dan Middleton and published by . This book was released on 2007 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report covers the Phase A and B activities of Research Project SPR 627 for the Arizona Department of Transportation (ADOT). Phase C is planned as a separate research activity and is anticipated to begin in the near term, following the completion of Phases A and B. The need for a better valuation program for new traffic detection systems came in part from a lack of confidence in existing detectors, as well as the need for non-intrusive detectors to replace failing embedded inductive loops. The primary objectives of this research were to identify the most promising vehicle detection technologies to meet ADOT needs, to identify candidate test sites, to develop a field test evaluation plan, and to develop and deliver a detailed design of the detection testbed on the selected segment of freeway. The Texas Transportation Institute (TTI) met these objectives through an Internet and literature search, a state-of-the-practice review, a search of relevant new detector systems, and through meetings with the Technical Advisory Committee (TAC). Relying on TAC input, TTI developed first a conceptual design, followed by a detailed design and budget for a proposed test facility located on I-10 in Phoenix just west of the 16th Street interchange. Detectors selected for test in the initial period of 12-plus months during Phase C (and the technology used) are as follows: Wavetronix SS-125 (microwave radar), Sensys Networks (magnetic), Global Traffic Technologies microloops (magnetic) and Autoscope Solo Pro (video imaging). The baseline system selected for providing ground truth data is the Peek ADR-6000 using inductive signatures as its basis of detection. It is anticipated that this Phase C testing will include two summer seasons to expose selected detectors to the extreme heat and related environmental conditions found in the Phoenix. The initial cost of the testbed will include detectors sufficient to ultimately cover eight lanes in the westbound direction (currently seven lanes) and six lanes in the eastbound direction. Besides the detectors, the total cost estimate includes a 12 ft by 12 ft node building, three equipment cabinets, inductive loops for the baseline system, conduit, and boring. The total cost of the facility is estimated to be approximately $566,000.
Download or read book Advances in Visual Computing written by George Bebis and published by Springer Science & Business Media. This book was released on 2009-11-09 with total page 1157 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 5875 and LNCS 5876 constitutes the refereed proceedings of the 5th International Symposium on Visual Computing, ISVC 2009, held in Las Vegas, NV, USA, in November/December 2009. The 97 revised full papers and 63 poster papers presented together with 40 full and 15 poster papers of 7 special tracks were carefully reviewed and selected from more than 320 submissions. The papers are organized in topical sections on computer graphics; visualization; feature extraction and matching; medical imaging; motion; virtual reality; face processing; reconstruction; detection and tracking; applications; and video analysis and event recognition. The 7 additional special tracks address issues such as object recognition; visual computing for robotics; computational bioimaging; 3D mapping, modeling and surface reconstruction; deformable models: theory and applications; visualization enhanced data analysis for health applications; and optimization for vision, graphics and medical imaging: theory and applications.
Download or read book Transportation Data Research written by National Research Council (U.S.). Transportation Research Board and published by . This book was released on 2003 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Person Re Identification written by Shaogang Gong and published by Springer Science & Business Media. This book was released on 2014-01-03 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.
