Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"Incident detection"”.
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Design and evaluation of freeway incident detection algorithms
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1999.
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Incorporating neural network traffic prediction into freeway incident detection
The efficient operation of an incident management system depend Neural network models have been applied to traffic prediction frequently and even repeatedly because of its superior capability in emulating nonlinear systems. However, these traffic prediction models have not been utilized for …
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Wireless Networking for Vehicle to Infrastructure Communication and Automatic Incident Detection
… the area of wireless network research. Automatic Incident Detection (AID), which is the recent focus of research direction in Intelligent Transportation System (ITS), aims to increase road safety. These advances in technology enable traffic systems to use data collected from vehicles on the road …
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Hybrid state estimation applications for joint traffic monitoring and incident detection
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-03-02 without embargo terms
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A Framework for Incident Detection and notification in Vehicular Ad-Hoc Networks
… of all congestion events are caused by highway incidents rather than by rush-hour traffic in big cities. The US-DOT also notes that in a single year, congested highways due to traffic incidents cost over $75 billion in lost worker productivity and over 8.4 billion gallons of fuel. Further, the …
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Metrohelper: A Real-time Web-based System for Metro Incident Detection Using Social Media
… transit network, still most current disruptions detection systems either lack of network coverage or did not have real-time system. The goal of this thesis was to create a system that can leverage Twitter data to help in detecting service disruptions in their early stage. This work involves a web …
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A framework for smart traffic management using heterogeneous data sources
… and carbon emissions. Traffic forecasting and incident detection systems are fundamental areas of Intelligent Transportation Systems (ITS) that have been widely researched in the last decade. These systems provide real time information about traffic congestion and other unexpected incidents …
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Improving reliability and security monitoring in enterprise and cloud systems by leveraging information redundancy
… to protect against security and reliability incidents, resulting over recent years in ever more frequent service disruptions, failures, and data breaches, the financial and societal implications of which are massive. System owners have a strong desire to prevent such incidents. Incident …
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Benefits of emerging transportation technologies : simulation analysis and policy issues
… addition, the existing capability for modeling incident detection and management is reviewed. These applications are tested on a traffic network on Stockholm, Sweden, about to undergo new construction and development. The implementations are demonstrated to be effective in a quantitative and …
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A Deep Learning Approach to Predict Accident Occurrence Based on Traffic Dynamics
… negligence and/or error. However, rapid traffic incident detection could reduce incident-related congestion and secondary crashes, alleviate the waste of vehicles’ fuel and passengers’ time, and provide appropriate information for emergency response and field operation. While the focus of most …
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Methodologies for integrating traffic flow theory, ITS and evolving surveillance technologies
… and - a methodology for real-time link and incident specific freeway diversion in conjunction with freeway incident management, in particular. The first methodology includes the development of a dynamic flow model based on stochastic queuing theory and the principle of conservation of …
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Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors
… a multitask learning system for traffic incident prediction with spatiotemporal feature learning, social media-based transportation event detection, and a graph convolutional network-based cyberbullying detection algorithm are the four methods proposed. Additionally, based on the …
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Integration of a GIS and an expert system for freeway incident management
Congestion due to traffic accidents and incidents can be reduced through effective freeway incident management. However, this is plagued by a number of problems and requires a high level of expertise and coordination among the involved personnel. The ill-structured nature of the problem, constantly …
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Improving Digital Forensics and Incident Analysis in Production Environments by Using Virtual Machine Introspection
… mobile devices to improve digital forensics and incident analysis. Four key challenges must be tackled. The first challenge is that many existing solutions are not reproducible, for example, because the corresponding software components are not available, obsolete or incompatible. The use of …
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FRIEND: A Cyber-Physical System for Traffic Flow Related Information Aggregation and Dissemination
… endowing cat's eyes with a modest power source, detection and communication capabilities they will play an important role in collecting, aggregating and disseminating traffic flow conditions to the driving public. We envision the cat's eyes system to be supplemented by road-side units (RSU) …
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Advancing security information and event management frameworks in managed enterprises using geolocation
… (SIEM) technology supports security threat detection and response through real-time and historical analysis of security events from a range of data sources. Through the retrieval of mass feedback from many components and security systems within a computing environment, SIEMs are able to …
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Distributed AI-defense for Cyber Threats on Edge Computing Systems
… tackle this issue, edge-level threat and attack detection systems require specialized solutions that leverage the local computing power of edge systems, take advantage of the close proximity to edge devices (e.g IoT devices and mobile devices), and make use of advanced infrastructure-level …
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Achieving network resiliency using sound theoretical and practical methods
… agencies accepted the inevitability of incidents and malicious attacks, and marshaled their efforts into the design of resilient systems. Rather than focusing solely on preventing failures and attacks, resilient systems are able to maintain an acceptable level of operation in the …
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Digital Forensic Readiness in Smart, Circular Cities.
… increase the need for a well-established incident response plan that should be deployed and applied. In addition, heterogeneity of smart cities, and the lack of standardised digital forensic investigation techniques, designate the demand for a predefined digital forensic readiness …
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Estimation Of Hybrid Models For Real-time Crash Risk Assessment On Freeways
… traffic management strategies such as freeway incident detection has been diminishing with advancements in mobile phone usage and video surveillance technology. On the other hand, capacity to collect, store, and analyze traffic data from underground loop detectors has witnessed enormous growth …