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 8 of 8 for “"traffic sensor"”.
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Reliable facility location design and traffic sensor deployment under probabilistic disruptions
… to serve distributed customers. In the traffic engineering context, various types of surveillance sensors (e.g., induction loops, video cameras and radio frequency transponders) are deployed in transportation networks to estimate real-time traffic states, which are valuable information …
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Estimating post-disaster traffic conditions using real-time data streams
… determine the effects of an earthquake on road traffic conditions by linking seismic hazard and bridge fragility models with a traffic model and traffic sensor data. Using the earthquake characteristics as an input to the traffic model, the traffic conditions are sequentially estimated given …
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Multi-tiered architecture for automatic sensor failure detection in traffic systems: edge-fog-cloud collaboration for enhanced accuracy
The increasing reliance on traffic sensor networks in intelligent transportation systems requires robust methods for ensuring the accuracy and reliability of sensor data. Traditional fault detection techniques often struggle with the high volume of data generated by these sensors, the dynamic …
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Traffic estimation, sensing, and control in work zone environments
… zones. Smart work zone systems are composed of sensors, communication technologies, and data processing algorithms that are used to monitor and disseminate critical information such as congestion and severe slowdowns. Though a large number of smart work zone technologies have been deployed, many …
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Calibration of the demand simulator in a dynamic traffic assignment system
… and driver route choice models within a Dynamic Traffic Assignment (DTA) system using several days of traffic sensor data. The methodology for the calibration of the O-D estimation module is based on an existing framework adapted to suit the sensor data usually collected from traffic networks. …
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Congestion-aware traffic routing for large-scale mobile agent systems
Traffic congestion is a serious world-wide problem. Drivers have little knowledge of historical and real-time traffic congestion for the paths they take and often tend to drive suboptimal routes. Congestion phenomena are sure to be influenced by the coming of autonomous cars. This thesis presents …
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Toward Robust and Generalizable Spatiotemporal Modeling for Tasks beyond Forecasting and Classification
… In diverse operational domains such as traffic systems, neurophysiological monitoring, and drilling operations, spatiotemporal data is often noisy, irregular, and subject to distribution shifts — exposing the brittleness of conventional forecasting and classification pipelines. This …
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On Modeling Dependency Dynamics of Sequential Data: Methods and Applications
… media, technology opportunity discovery, and traffic incident impact analysis. In particular, four specific applications are studied with four proposed novel methods, including a spatiotemporal feature learning framework for transit service disruption detection, a multi-task learning framework …