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 125 for “"Traffic data"”.
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Crowdsourcing traffic data for travel time estimation
… predicted travel times. It also helps real-time traffic management and traffic light control. Accurate estimation of travel time requires collecting a lot of real-time data from road networks. This data can be collected using a wide variety of sources like inductive loop detectors, video cameras, …
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Enhanced classification of network traffic data captured by intrusion prevention systems
… and false negatives, the analysis of network traffic data can be ineffective for decision makers which normally require concise, and preferably, visual forms to base their decisions upon. Machine learning techniques can help extract useful information from large datasets. Combined with …
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Characterization of Ohio Traffic Data for Integration into the Mechanistic-Empirical Pavement Design
The MEPDG requires a multitude of traffic inputs to be defined for the design of pavement structures. These inputs include (a) base-year traffic data such as the initial two-way annual average daily truck traffic (AADTT), (b) traffic volume adjustment factors (directional and lane distribution …
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Developing a new job accessibility measurement based on crowdsourced traffic data and GTFS
… the General Transit Feed Specification (GTFS) dataset. These computed data are used to estimate the utility-based travel impedance functions. Based on the utility-based travel impedance functions estimated by the binary logit choice model, this research refines a job accessibility measurement …
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A generic framework for detecting interpretable real-time anomalies in network traffic data
… a framework for detecting anomalies in network traffic data on highly complex computer networks. In this research, I present the Ensemble Outlier Detection System, a new framework for detecting anomalies in multidimensional network traffic data. The system meets six design requirements which …
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Development and estimation of traffic data-based operational measures for effective winter snow management
Snow storms degenerate safety and traffic mobility by creating adverse driving conditions including visibility impairments, reducing pavement friction, obstructed road facilities. Improving the effectiveness of the snow management requires an efficient assessment of the operational strategies with …
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Applications of microsimulation traffic data in infrastructure construction projects using 3D/4D CAD models
… important for planners, builders/developers and traffic engineers for successful project execution. Past research was successful in finding effective ways to communicate to stakeholders and improve project performance. 3D/4D CAD modeling has been one among them which offers potential benefits …
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An analysis of the impact of wireless technology on public vs. private traffic data collection, dissemination and use
The collection of data concerning traffic conditions (e.g., incidents, travel times, average speed, traffic volumes, etc.) on roadways has traditionally been carried out by those public entities charged with managing traffic flow, responding to incidents, and maintaining the surface of the roadway. …
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Effect of vehicle type on highway traffic flow: Effects of vehicle type on speed, delay and capacity characteristics of highway traffic flow in the United Kingdom and Saudi Arabia determined by an examination of traffic data.
The t h e s i s c o n s i d e r s t h e e f f e c t s of v e h i c l e type on highway t r a f f i c flow. The e f f e c t s of v e h i c l e type on t h e c a p a c i t y of t r a f f i c s i g n a l approaches are examined by t h e experimental d e t e r m i n a t i o n of passenger c a r u n i t …
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Development of a Hybrid Travel Time Forecasting Model With GIS: Design and Implementation Issues
… hybrid forecasting model, parts of historical databases have been utilized as real-time traffic data by implementing a real-time traffic data simulator. Based on the evaluation, this research shows that the hybrid forecasting model effectively deals with the complex nature of traffic data. This …
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Off-line calibration of Dynamic Traffic Assignment models
… collect and store extensive network-wide traffic data. Dynamic Traffic Assignment (DTA) models have also been developed for a variety of dynamic traffic management applications. Such models are designed to estimate and predict the evolution of congestion through detailed models and …
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Microscopic Control Delay Modeling at Signalized Arterials Using Bluetooth Technology
… delay and acceleration delay. All kinds of traffic delay calculation especially control delay calculation has always been complicated and laborious as there never existed a low-cost direct method to find them in real-time from the field. A recent validated technology called Bluetooth Median …
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A novel spatiotemporal framework for efficient traffic prediction and visualization
This thesis proposes an efficient traffic prediction framework to estimate congestion at intersections depending on neighboring road links. The framework encompasses three major components, data extraction, Bayesian Linear Regression-based traffic prediction model, and an interactive map-based …
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Network Intrusion Detection: Monitoring, Simulation And Visualization
… simulation introduces a model using explicit traffic gen- eration for the packet level traffic simulation. The process of anomaly detection is to first build profiles for the normal network activity and then mark any events or activities that deviate from the normal profiles as suspicious. …
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Cyber security risk analysis framework : network traffic anomaly detection
… normal network behavior and detect network traffic anomalies. Our research focuses on the analysis of the historical network traffic data to identify network usage trends and security vulnerabilities. Specifically, this thesis will focus on multiple components of the data analytics platform. …
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Demand estimation and fleet management for autonomous mobility on demand systems
… model is presented which correlates real-time traffic data to predict customer demand on short timescales. Traditional traffic data collection approaches use pervasive fixed sensors which are costly for system-wide coverage. To address this, new frameworks are presented for measuring real-time …
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Data-driven modeling and transportation data analytics
Data has become increasingly important in transportation research. Unfortunately, existing traffic models, though developed and practiced for decades, are not data driven and therefore inherently incapable of analyzing modern traffic data from multiple sources with different time resolution and …
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MONITORAGGIO, STIMA E PREVISIONE REAL-TIME DEL TRAFFICO VEICOLARE CON TECNOLOGIE ITS. IMPLEMENTAZIONE DI UN SISTEMA SPERIMENTATO NELL AREA URBANA DI CATANIA
… implementation and calibration) of a traffic monitoring, estimating and short-term forecasting system, through the integration of real-time traffic data in a dynamic simulation model. The proposed methodology allows the identification of the conceptual model that represents the basis …
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SenSys: A Smartphone-Based Framework for ITS applications
… use different methods to collect and process traffic data. Conventional techniques suffer from different challenges, like the high installation and maintenance cost, connectivity and communication problems, and the limited set of data. The recent massive spread of smartphones among drivers …
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Biologically-inspired Network Memory System for Smarter Networking
… resources. Such complexity results in network-data from different sources with special characteristics, such as widely diverse users and services, multiple media (e.g., text, audio, video, etc.), high-dimensionality (i.e., large sets of attributes) and various dynamic concerns (e.g., …
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