Author: Haitham M. Al-DeekPublisher:
ISBN:
Category : Detectors
Languages : en
Pages : 200
Book Description
Implementation of Incident Detection Algorithms
Author: Haitham M. Al-DeekPublisher:
ISBN:
Category : Detectors
Languages : en
Pages : 200
Book Description
A Complete Review of Incident Detection Algorithms & Their Deployment
Author: A. Emily ParkanyPublisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 132
Book Description
Incident Detection Algorithm Evaluation
Author: Comparative Performance of Freeway Automated Incident Detection Algorithms
Author: H. DiaAutomatic Incident Detection on Urban Arterials
Author: John Naylor IvanPublisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 90
Book Description
An Investigation Into the Evaluation and Optimization of the Automatic Incident Detection Algorithm Used in TxDOT Traffic Management Systems
Author: Robert E. BrydiaPublisher:
ISBN:
Category : Highway communications
Languages : en
Pages : 114
Book Description
An Incident Detection Algorithm Based on a Discrete State Propagation Model of Traffic Flow
Author: Angshuman GuinPublisher:
ISBN:
Category : Intelligent transportation systems
Languages : en
Pages :
Book Description
Automatic Incident Detection Algorithms (AIDA) have been part of freeway management system software from the beginnings of ITS deployment. These algorithms introduce the capability of detecting incidents on freeways using traffic operations data. Over the years, several approaches to incident detection have been studied and tested. However, the size and scope of the urban transportation networks under direct monitoring by transportation management centers are growing at a faster rate than are staffing levels and center resources. This has entailed a renewed emphasis on the need for reliability and accuracy of AIDA functionality. This study investigates a new approach to incident detection that promises a significant improvement in operational performance. This algorithm is formulated on the premise that the current conditions facilitate the prediction of future traffic conditions, and deviations of observations from the predictions beyond a calibrated level of tolerance indicate the occurrence of incidents. This algorithm is specifically designed for easy implementation and calibration at any site. Offline tests with data from the Georgia-Navigator system indicate that this algorithm realizes a substantial improvement over the conventional incident detection algorithms. This algorithm not only achieves a low rate of false alarms but also ensures a high detection rate.
Implementation of Advanced Techniques for Automated Freeway Incident Detection
Author: Baher AbdulhaiPublisher:
ISBN:
Category : Automatic data collection systems
Languages : en
Pages : 52
Book Description
Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management
Author: E. ShahbazianPublisher: IOS Press
ISBN: 1607501244
Category : Computers
Languages : en
Pages : 832
Book Description
Data Fusion is a very broad interdisciplinary technology domain. It provides techniques and methods for; integrating information from multiple sources and using the complementarities of these detections to derive maximum information about the phenomenon being observed; analyzing and deriving the meaning of these observations and predicting possible consequences of the observed state of the environment; selecting the best course of action; and controlling the actions. Here, the focus is on the more mature phase of data fusion, namely the detection and identification / classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Technology (SST) applications. It is necessary to; expand on the data fusion methodology pertinent to Situation Monitoring, Incident Detection, Alert and Response Management; discuss some related Cognitive Engineering and visualization issues; provide an insight into the architectures and methodologies for building a data fusion system; discuss fusion approaches to image exploitation with emphasis on security applications; discuss novel distributed tracking approaches as a necessary step of situation monitoring and incident detection; and provide examples of real situations, in which data fusion can enhance incident detection, prevention and response capability. In order to give a logical presentation of the data fusion material, first the general concepts are highlighted (Fusion Methodology, Human Computer Interactions and Systems and Architectures), closing with several applications (Data Fusion for Imagery, Tracking and Sensor Fusion and Applications and Opportunities for Fusion).
A New Methodology for Evaluating Incident Detection Algorithms
Author: Peter J. BickelPublisher:
ISBN:
Category : Detectors
Languages : en
Pages : 30
Book Description