Search Results - subject:"Incident Detection"

Flow-Graph and Markovian Methods for Cyber Security Analysis

Jenab, Kouroush; Khoury, Sam; LaFevor, Kim - In: International Journal of Enterprise Information Systems … 12 (2016) 1, pp. 59-84

featured by incident detection and recovery mechanisms. The results of this study can be used by all parties (public and …

Persistent link: https://www.econbiz.de/10012044469

Flow-graph and markovian methods for cyber security analysis

Jenab, Kouroush; Khoury, Sam; LaFevor, Kim - In: International journal of enterprise information systems … 12 (2016) 1, pp. 59-84

Persistent link: https://www.econbiz.de/10011493692

Sensor placement with time-to-detection guarantees

Jabari, Saif Eddin; Wynter, Laura M. - In: EURO journal on transportation and logistics 5 (2016) 4, pp. 415-433

Persistent link: https://www.econbiz.de/10011618602

A New Methodology for Evaluating Incident Detection Algorithms

Petty, Karl; Bickel, Peter J.; Kwon, Jaimyoung; … - Institute for Transportation Studies (ITS), University … - 2000

We present a novel, off-line approach for evaluating incident detection algorithms. Previous evaluations have focused … algorithm as well as a meaningful quantity for direct comparisons between different types of incident detection algorithms. We … demonstrate our approach with a detailed example. Key words: Incident detection …

Persistent link: https://www.econbiz.de/10010537220

Implementation of Advanced Techniques for Automated Freeway Incident Detection

Abdulhai, Baher; Ritchie, Stephen G.; Iyer, Mahadevan - Institute for Transportation Studies (ITS), University … - 1999

A significant body of research on advanced techniques for automated freeway incident detection has been conducted at …). This project extended existing freeway incident detection research conducted under both PATH and under the ATMS Testbed … the UCI testbed for on line operation on the testbed network in Southern California. The PNN incident detection system was …

Persistent link: https://www.econbiz.de/10010536679

Identifying the Onset of Congestion Rapidly with Existing Traffic Detectors

Coifman, Benjamin - Institute for Transportation Studies (ITS), University … - 1999

From an operations standpoint, the most important task of a traffic surveillance system is determining reliably whether the facility is free flowing or congested. The second most important task is responding rapidly when the facility becomes congested. Other tasks, such as quantifying the...

Persistent link: https://www.econbiz.de/10010536897

Estimation Of Travel Time Distribution And Detection Of Incidents Based On Automatic Vehicle Classificatin

Anatharam, V. - Institute for Transportation Studies (ITS), University … - 1998

We study the problem of travel time estimation along a section of a freeway based on data derived from vehicle detectors at multiple locations. We pose the problem as one of pattern recognition. We derive algorithms that aim to recognize patterns which persist between the error-prone upstream...

Persistent link: https://www.econbiz.de/10010536954

Development Testing And Evaluation Of Advanced Techniques For Freeway Incident Detection

Ritchie, Stephen G.; Abdulhai, Baher - Institute for Transportation Studies (ITS), University … - 1997

In this research, the authors introduce and define a universal incident detection framework that is capable of … freeway incident detection framework should possess. The second part discusses the training and testing of the PNN. The third …

Persistent link: https://www.econbiz.de/10010537123

Integration Of Probe Vehicle And Induction Loop Data: Estimation Of Travel Times And Automatic Incident Detection

Westerman, Marcel; Litjens, Remco; Linnartz, Jean-paul - Institute for Transportation Studies (ITS), University … - 1996

automatic incident detection for ATMIS based on induction loop or probe vehicle data are developed. By properly incorporating …

Persistent link: https://www.econbiz.de/10010536845

A Machine Vision Based Surveillance System For California Roads

Malik, J.; Russell, S. - Institute for Transportation Studies (ITS), University … - 1995

In this paper, the authors describe the successful combination of a low- level, vision-based surveillance system with a high-level, symbolic reasoner based on dynamic belief networks. This prototype system provides robust, high-level information about traffic scenes. The machine vision component...

Persistent link: https://www.econbiz.de/10010843101