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Thematische Bibliographien / Road Traffic Data Security / Dissertationen

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Dissertationen zum Thema „Road Traffic Data Security“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

Zuletzt aktualisiert am 31. Juli 2025

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1

Diallo, El-hacen. "Study and Design of Blockchain-based Decentralized Road Traffic Data Management in VANET (Vehicular Ad hoc NETworks)." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG017.

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La prolifération des véhicules autonomes a imposé la nécessité d'une gestion plus sécurisée des données du trafic routier (c'est-à-dire les événements liés aux accidents, l'état de la circulation, le rapport d'attaque, etc.) dans les réseaux Ad hoc pour véhicules (VANET). Les systèmes centralisés traditionnels répondent à ce besoin en exploitant des serveurs distants éloignés des véhicules. Cette solution n’est pas optimale, car les données relatives au trafic routier doivent être distribuées et mises en cache de manière sécurisée à proximité des véhicules. Cela améliore la latence et réduit l

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Naji, Jamil Abdul-Rabb. "Road accident analysis in Yemen : the identification of shortcomings in road accident data, data adjustment, cost and development of road fatality model." Thesis, University of South Wales, 1996. https://pure.southwales.ac.uk/en/studentthesis/road-accident-analysis-in-yemen(8586c669-4709-4b2c-9d83-45003bc5d0bf).html.

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The true extent of the road accident problem in Yemen is questionable. Some agencies and citizens believe that the safety situation in Yemen is very critical while others disagree with this belief. Both sides however, agree that the road accident problem in Yemen is such that it requires considerable attention. Since Yemen has no history in road safety research and since there is no reliable road accident data in the country, making final judgements on the situation is difficult unless supported by adequate research. The aim of the present research is to provide a better understanding of the r

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Mollet, C. J. "The analysis of road traffic accident data in the implementation of road safety remedial programmes." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52483.

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Thesis (M.Ing.)--Stellenbosch University, 2001.<br>ENGLISH ABSTRACT: A road safety remedial programme has as an objective the improvement of road transportation safety by applying road safety engineering remedial measures to hazardous road network elements in a manner that will be economically efficient. Since accident data is the primary manifestation of poor safety levels it must be analysed in manner that will support the overall objective of economic efficiency. Three steps in the process of implementing a road safety remedial programme, that rely on the systematic analysis of accid

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Amado, Vanessa. "Knowledge discovery and data mining from freeway section traffic data." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5591.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 8, 2009) Vita. Includes bibliographical references.

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Perez, Katherine, Wendy Weijermars, Niels Bos, et al. "Implications of estimating road traffic serious injuries from hospital data." Elsevier, 2018. https://publish.fid-move.qucosa.de/id/qucosa%3A72269.

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To determine accurately the number of serious injuries at EU level and to compare serious injury rates between different countries it is essential to use a common definition. In January 2013, the High Level Group on Road Safety established the definition of serious injuries as patients with an injury level of MAIS3+(Maximum Abbreviated Injury Scale). Whatever the method used for estimating the number or serious injuries, at some point it is always necessary to use hospital records. The aim of this paper is to understand the implications for (1) in/exclusion criteria applied to case selection a

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Mao, Ruixue. "Road Traffic Density Estimation in Vehicular Network." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9467.

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In recent decades, vehicular networks or intelligent transportation systems are being increasingly investigated and used to provide solutions to next generation traffic systems. Road traffic density estimation provides important information for road planning, intelligent road routing, road traffic control, vehicular network traffic scheduling, routing and dissemination. The ever increasing number of vehicles equipped with wireless communication capabilities provide new means to estimate the road traffic density more accurately and in real time than traditionally used techniques. In this thesis

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Kumar, Saurabh. "Real-Time Road Traffic Events Detection and Geo-Parsing." Thesis, Purdue University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10842958.

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<p> In the 21<sup>st</sup> century, there is an increasing number of vehicles on the road as well as a limited road infrastructure. These aspects culminate in daily challenges for the average commuter due to congestion and slow moving traffic. In the United States alone, it costs an average US driver $1200 every year in the form of fuel and time. Some positive steps, including (a) introduction of the push notification system and (b) deploying more law enforcement troops, have been taken for better traffic management. However, these methods have limitations and require extensive planning. Anoth

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Yaiaroon, Niphan. "Probabilistic modelling of extreme traffic load-effects based on WIM data." Thesis, The University of Sydney, 2009. https://hdl.handle.net/2123/28224.

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The primary aims of this thesis are to develop a realistic probabilistic model of extreme traffic load-effects (referred to as a Probabilistic Model), which could be used for a reliability—based assessment of the safety of existing bridges, and to develop a model that provides an efficient approximation (without significant computational difficulties) for the Probabilistic Model (referred to as an Approximate Model). The research focuses on the analysis of traffic load-effects estimated from Weigh-in-Motion data by calculating hypothetical load-effects that would be induced by each vehic

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Khatri, Chandra P. "Real-time road traffic information detection through social media." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53889.

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In current study, a mechanism to extract traffic related information such as congestion and incidents from textual data from the internet is proposed. The current source of data is Twitter, however, the same mechanism can be extended to any kind of text available on the internet. As the data being considered is extremely large in size automated models are developed to stream, download, and mine the data in real-time. Furthermore, if any tweet has traffic related information then the models should be able to infer and extract this data. To pursue this task, Artificial Intelligence, Machine Lear

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Boonsiripant, Saroch. "Speed profile variation as a surrogate measure of road safety based on GPS-equipped vehicle data." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28275.

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Thesis (M. S.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Hunter, Michael; Committee Member: Dixon, Karen; Committee Member: Guensler, Randall; Committee Member: Rodgers, Michael; Committee Member: Tsui, Kwok-Leung.

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Thorri, Sigurdsson Thorsteinn. "Road traffic congestion detection and tracking with Spark Streaming analytics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254874.

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Road traffic congestion causes several problems. For instance, slow moving traffic in congested regions poses a safety hazard to vehicles approaching the congested region and increased commuting times lead to higher transportation costs and increased pollution.The work carried out in this thesis aims to detect and track road traffic congestion in real time. Real-time road congestion detection is important to allow for mechanisms to e.g. improve traffic safety by sending advanced warnings to drivers approaching a congested region and to mitigate congestion by controlling adaptive speed limits.

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Moukir, Sara. "High performance analysis for road traffic control." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG039.

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La réduction des temps de trajet et de la consommation d'énergie dans les réseaux routiers urbains est cruciale pour le bien-être collectif et la durabilité environnementale. Depuis les années 1950, la modélisation du trafic a été un axe central de la recherche. Avec l'évolution des capacités informatiques, des simulations sophistiquées représentant fidèlement les complexités du trafic routier ont émergé, essentielles pour évaluer les technologies sans perturber le trafic réel.Les systèmes de transport deviennent plus complexes avec des informations en temps réel, nécessitant des modèles de si

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Ismail, Karim Aldin. "Application of computer vision techniques for automated road safety analysis and traffic data collection." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/29546.

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Safety and sustainability are the two main themes of this thesis. They are also the two main pillars of a functional transportation system. Recent studies showed that the cost of road collisions in Canada exceeds the cost of traffic congestion by almost tenfold. The reliance on collision statistics alone to enhance road safety is challenged by qualitative and quantitative limitations of collision data. Traffic conflict techniques have been advocated as a proactive and supplementary approach to collision-based road safety analysis. However, the cost of field observation of traffic conflicts cou

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Carroll, Jolyon Alexander. "Mechanisms of head injuries in road traffic accidents : a potential solution for data collection." Thesis, Open University, 2017. http://oro.open.ac.uk/52640/.

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Despite advances in road safety, head injuries still account for many of the most serious and fatal injuries in road traffic accidents. This PhD thesis provides a summary of knowledge regarding the current position in head injury research with regard to:  Previous assertions as to head injury mechanisms  Existing head injury criteria  The availability of data to explore potential confounding factors in predicting head injury risk and to propose or validate a new injury criterion or criteria. On the basis of the existing information the question was posed, whether it is possible to validate

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George, Mathew. "Development of a forecasting model of Indian road traffic scenario to predict road user share, injuries and fatalities." Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166130.

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According to the global status report on road safety 2018 by the World Health Organization (WHO), road accidents cause 1.35 million deaths annually world-wide, making it the eight leading cause of death. Road fatalities are caused due to multiple factors including rash driving, unsafe roads and vehicle failures. Developed countries have been able to control the road fatalities with planned infrastructure, safer vehicles and public awareness. According to the WHO report, low income countries own about 1% of the total vehicles but account for 13% of the road fatalities. In this thesis the traffi

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Jalew, Esubalew Alemneh. "Fog Computing based traffic Safety for Connected Vulnerable Road Users." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK057/document.

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Chaque année, des millions de personnes meurent et beaucoup d'autres subissent des séquelles graves à la suite d'accidents de la route. Malgré une multitude d’initiatives, le nombre de cas mortels et d'accidents graves augmente chaque année en engendrant des problèmes préoccupants à la fois sociaux, économiques et sanitaires. En raison de leur nombre élevé et de l'absence de protection personnelle, plus de la moitié de ces décès concerne les usagers vulnérables (en anglais, vulnerable road users - VRU) regroupant les piétons, cyclistes et motocyclistes. Les appareils mobiles, combinés à la tec

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Barraclough, Peter J. "Common method variance and other sources of bias in road traffic research." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/104818/1/Peter_Barraclough_Thesis.pdf.

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A series of studies examined the extent to which method bias, primarily Common Method Variance, potentially affect road safety studies. A meta-analysis, examining self-reported and archival records of traffic offences and crashes, found differences in terms of the size of the effects produced by the two data types. The research also found some evidence to suggest that effect sizes are inflated when dichotomous scales are used in preference to Likert scales, and also when both the predictor and the predicted variables are gathered and analysed in the same manner from the same source.

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Consuegra, Rengifo Nathan Adolfo. "Detection and Classification of Anomalies in Road Traffic using Spark Streaming." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238733.

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Road traffic control has been around for a long time to guarantee the safety of vehicles and pedestrians. However, anomalies such as accidents or natural disasters cannot be avoided. Therefore, it is important to be prepared as soon as possible to prevent a higher number of human losses. Nevertheless, there is no system accurate enough that detects and classifies anomalies from the road traffic in real time. To solve this issue, the following study proposes the training of a machine learning model for detection and classification of anomalies on the highways of Stockholm. Due to the lack of a

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Mahbub, S. M. Parvez Bin. "Impact of urban traffic and climate change on water quality from road runoff." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/47139/1/Parvez_Mahbub_Thesis.pdf.

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Urban traffic and climate change are two phenomena that have the potential to degrade urban water quality by influencing the build-up and wash-off of pollutants, respectively. However, limited knowledge has made it difficult to establish any link between pollutant buildup and wash-off under such dynamic conditions. In order to safeguard urban water quality, adaptive water quality mitigation measures are required. In this research, pollutant build-up and wash-off have been investigated from a dynamic point of view which incorporated the impacts of changed urban traffic as well as changes in the

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El-Shehaly, Mai Hassan. "A Visualization Framework for SiLK Data exploration and Scan Detection." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34606.

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Network packet traces, despite having a lot of noise, contain priceless information, especially for investigating security incidents or troubleshooting performance problems. However, given the gigabytes of flow crossing a typical medium sized enterprise network every day, spotting malicious activity and analyzing trends in network behavior becomes a tedious task. Further, computational mechanisms for analyzing such data usually take substantial time to reach interesting patterns and often mislead the analyst into reaching false positives, benign traffic being identified as malicious, or false

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Chueire, Jorge Luís Gomes. "Segurança viária na cidade de São José do Rio Preto." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-10072017-162719/.

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Este trabalho trata da questão da segurança viária na cidade de São José do Rio Preto. É feito um diagnóstico da situação atual, à luz da composição e estrutura dos órgãos locais envolvidos, direta ou indiretamente, com o problema; do tratamento dado à segurança viária nas áreas de engenharia, educação e esforço legal; das informações obtidas em pesquisas de campo sobre o tráfego de veículos; e dos dados de acidentes de trânsito obtidos em levantamento efetuados. Também é proposto um plano de ações para o aumento da segurança viária na cidade, contemplando medidas diversas envolvendo os seguin

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Ekhator, Stephen. "Evaluating Kismet and NetStumbler as Network Security Tools & Solutions." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5668.

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ABSTRACT Despite advancement in computer firewalls and intrusion detection systems, wired and wireless networks are experiencing increasing threat to data theft and violations through personal and corporate computers and networks. The ubiquitous WiFi technology which makes it possible for an intruder to scan for data in the air, the use of crypto-analytic software and brute force application to lay bare encrypted messages has not made computers security and networks security safe more so any much easier for network security administrators to handle. In fact the security problems and solution o

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Krantz, Christoffer, and Gabriela Vukota. "Pushing Traffic into the Digital Age : A Communication Technology Comparison and Security Assessment." Thesis, Högskolan i Halmstad, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42400.

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With the rapid advances of technology, digitisation of many facets of our existence is taking place in an attempt to improve everyday life. The automotive industry is following suit, attempting to introduce connected traffic technology that is meant to improve traffic fluidity and safety. To facilitate this, connected vehicles aim to create solutions for the sharing of information between other vehicles, infrastructure - such as traffic light controllers, and pedestrians. In an attempt to further investigate the connected vehicle landscape of today, the thesis compared the two most prominent t

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Meinert, Sascha [Verfasser], and D. [Akademischer Betreuer] Wagner. "Engineering Data Generators for Robust Experimental Evaluations : Planar Graphs, Artificial Road Networks, and Traffic Information / Sascha Meinert. Betreuer: D. Wagner." Karlsruhe : KIT-Bibliothek, 2012. http://d-nb.info/1019361891/34.

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Al, Aamri Amira Khamis. "Quantifying the patterns of road traffic crashes in the Sultanate of Oman : statistical evaluation of aggregate data from police records." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/427153/.

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The alarming growth of Road Traffic Crashes (RTCs) and related outcomes remain an unresolved global public health emergency in low- and middle-income countries. The risks of RTCs are considerably high in the Gulf Cooperation Council (GCC) countries, where the oil-driven economy has overtime sparked rapid economic growth accompanied by large influx of expatriates, rapid urbanisation and unprecedented growth in motor vehicles. Oman has the second highest death rate from RTCs within GCC countries. Although, there is a growing body of peer-reviewed literature on the trends and behavioural characte

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Davis, Jonathan J. "Machine learning and feature engineering for computer network security." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/106914/1/Jonathan_Davis_Thesis.pdf.

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This thesis studies the application of machine learning to the field of Cyber security. Machine learning algorithms promise to enhance Cyber security by identifying malicious activity based only on provided examples. However, a major difficulty is the unsuitability of raw Cyber security data as input. In an attempt to address this problem, this thesis presents a framework for automatically constructing relevant features suitable for machine learning directly from network traffic. We then test the effectiveness of the framework by applying it to three Cyber security problems: HTTP tunnel detect

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Huang, Jiawei. "The Road to a Nationwide Electronic Health Record System: Data Interoperability and Regulatory Landscape." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2224.

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This paper seeks to break down how a large scale Electronic Health Records system could improve quality of care and reduce monetary waste in the healthcare system. The paper further explores issues regarding regulations to data exchange and data interoperability. Due to the massive size of healthcare data, the exponential increase in the speed of data generation through innovative technologies, and the complexity of healthcare data types, the widespread of a large-scale EHR system has hit barriers. Much of the data available is unstructured or contained within a singular healthcare provider’s

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Björn, Johan. "Extending a Platform for IT-Security Exercises." Thesis, Linköpings universitet, Institutionen för systemteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-68883.

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The Swedish Defence Research Agency, FOI, has developed a platform that is used to train and study IT-security. This platform was used during the cyber Baltic shield, an international cyber security exercise. During the exercise, a number of teams acting as system administrators, tried to secure and defend the system of a fictive power supply company. Another team acted as a terrorist organisation with the goal to compromise the systems of the power supply companies and shut down their power generators. FOI has also developed a security assessment method, named XMASS, which is implemented in a

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Körner, Matthias. "Ermittlung von Vollsperrungen auf Basis von Floating Car Data." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-132546.

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Die Kenntnis von Straßensperrungen ist wesentliche Randbedingung bei der privaten Disposition von Fahrten als auch der Entscheidungsfindung von Baulastträgern zu Verkehrslenkungsmaßnahmen. Zur Nutzbarmachung von Sperrinformationen bietet sich zuerst die Etablierung geeigneter Schnittstellen zum administrativen Prozess an. Dass dieser Weg noch nicht breitenwirksam Umsetzung gefunden hat, liegt oft im Aufwand bei der Anpassung komplexer Verwaltungsabläufe und -systeme begründet. Um trotzdem mit einer großen räumlichen Abdeckung und hoher Aktualität Sperrinformationen zu erschließen, wurde ein An

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Palm, Alexander, and Benjamin Gafvelin. "Ethical Hacking of Android Auto in the Context of Road Safety." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299647.

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With a more than ever increasing demand to interconnect smartphones with infotainment systems, Android Auto has risen in popularity with its services used in modern vehicles worldwide. However, as users progressively connect their smartphones to in-vehicle infotainment systems, the opportunity for malicious actors to endanger and access private data of Android Auto users advances as well. The goal with this thesis is to determine how secure Android Auto is for road use. The main research question is to figure out if Android Auto is susceptible to attacks that exploit certain vulnerabilities in

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MORICHETTA, ANDREA. "Machine Learning and Big Data Approaches for Automatic Internet Monitoring." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2779392.

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HANSSON, KARL. "Data-Driven Analysis of the Fuel Saving Potentialof Road Vehicle Platooning : A data-driven approach for quantifying the fuel saving effects of platooning based ondata collected in real traffic conditions." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142403.

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Platooning with trucks is showing promising theoretical results in its ability to lower fuel consumption due to reduction in air drag. Currently, Scania is test driving their trucks in convoys in order to evaluate the concept, in terms of driving behavior and actual fuel saving, under realistic conditions. However, due to traffic conditions it is hard to keep the convoys intact for longer routes and therefore the actual fuel saving effect is hard to evaluate. In this thesis, data collected from a fleet of long haulage trucks is analyzed with four different machine learning predictors in order

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Chokotho, Linda Carolyn. "Assessing quality of existing data sources on road traffic injuries (RTIs) and their utility in informing injury prevention in the Western Cape Province, South Africa." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/10228.

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The aim of this study was to assess whether the quality of the RTI data collected by the South African Police Service (SAPS) and mortuaries was sufficient for determining the burden of RTIs in the Western Cape province, and for implementing and monitoring road safety interventions.

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Bastos, Jorge Tiago. "Road safety strategic analysis in Brazil: indicator and index research." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-08042015-103747/.

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The intense economic growth that Brazil has experienced in recent decades and its consequent explosive motorization process have resulted in an undesirable impact: the continuously increasing trend in traffic fatality numbers. This study presents a research on indicators and indexes with the objective of delivering both overall and disaggregated evidence about the road safety performance and targets in fatality reduction in Brazil at the state level taking the exposure into account. The intention is to support road safety strategic analysis in the country and to contribute to improve this crit

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Jardí, Cedó Roger. "Enhancing Drivers’ Privacy in Urban Electronic Road Pricing Systems." Doctoral thesis, Universitat Rovira i Virgili, 2015. http://hdl.handle.net/10803/318586.

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Durant l’últim segle els vehicles ha esdevingut el mitjà de transport per excel·lència. L’ús generalitzat d’aquests vehicles en la nostra societat ha significat una revolució en diferents àmbits com ara les relacions socials, la comoditat i l’economia. Malgrat això, també ha suposat nous inconvenients, com per exemple, un augment de la congestió del trànsit, dels accidents, i de la contaminació atmosfèrica. Recentment, l’agreujament d’aquests fets, especialment en àrees urbanes, juntament amb l’aparició de les tecnologies de la informació i de la comunicació, i una major conscienciació de l

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Sýkora, Petr. "Dolování v proudu dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236766.

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This thesis deals with the data mining in data stream which represents fast developing area of information technology. The text describes common principles of data mining, explains what data stream is and shows methods for its preprocessing and algorithms for following data mining. The special attention is given to the VFDT and the CVDT algorithm. The next mentioned are the spatiotemporal data and related data mining. The second part describes the design and implementation of the application for classification over spatiotemporal data stream represented by road traffic data and following predi

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Körner, Matthias. "Nutzungsmöglichkeiten von Floating Car Data zur Verkehrsflussoptimierung." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-93546.

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Floating Car Data (FCD) besitzen eine sehr breite Palette an Anwendungsmöglichkeiten, die aber teilweise noch keine massenhafte Verbreitung gefunden haben, auch wenn das Innovationspotenzial als sehr hoch eingeschätzt wird. Dies begründet sich in erster Linie durch die meist relativ großen Erfassungsintervalle bei der derzeitigen FCD-Erfassung. In Dresden ist ein Taxi-FCD-System in Betrieb, welches sich durch eine sehr hohe Detektionsdichte auszeichnet. Die Fahrzeugpositionen werden mindestens alle 5 Sekunden aufgezeichnet. Damit bestehen ausgezeichnete Möglichkeiten, mögliche Mehrwerte zu pr

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Körner, Matthias. "Ermittlung von Vollsperrungen auf Basis von Floating Car Data." Technische Universität Dresden, 2013. https://tud.qucosa.de/id/qucosa%3A27462.

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Die Kenntnis von Straßensperrungen ist wesentliche Randbedingung bei der privaten Disposition von Fahrten als auch der Entscheidungsfindung von Baulastträgern zu Verkehrslenkungsmaßnahmen. Zur Nutzbarmachung von Sperrinformationen bietet sich zuerst die Etablierung geeigneter Schnittstellen zum administrativen Prozess an. Dass dieser Weg noch nicht breitenwirksam Umsetzung gefunden hat, liegt oft im Aufwand bei der Anpassung komplexer Verwaltungsabläufe und -systeme begründet. Um trotzdem mit einer großen räumlichen Abdeckung und hoher Aktualität Sperrinformationen zu erschließen, wurde ein An

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Артамонов, Олексій Юрійович. "Аналіз поведінки автомобіля за даними з камер спостереження". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/36284.

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Мета роботи — розроблення програмного забезпечення аналізу даних щодо скоєних ДТП для прогнозування та запобігання їх у майбутньому., за допомогою використання методології Data Science та Machine Learning, та практичне оволодіння навичками та прийомами структурного аналізу даних. У процесі розробки досліджувалися методи та технології для аналізу даних, а також алгоритми прогнозування часових рядів. Реалізовано робочу та протестовану веб-систему, яка створена для отримання результатів аналізу у вигляді візуалізованих статистичних даних значущих критеріїв вхідного датасету, створено опис процес

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Tian, Bin. "Data dissemination protocols and mobility model for VANETs." Thesis, Clermont-Ferrand 2, 2016. http://www.theses.fr/2016CLF22739/document.

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Pendant les deux dernières décennies, les technologies de réseaux ad-hoc de véhicules (VANETs : Vehicular Ad-Hoc Networks) ont été développées sous l’impulsion du monde de la recherche comme de l’industrie, étant donnés les liens des VANETs avec la sécurité routière, l’internet des objets (IoT/WoT : Internet of Things/Web of Things) pour les systèmes de transport intelligents (ITS : Intelligent Transportation Systems), les villes intelligentes et les villes vertes. Composant essentiel des VANETs, les protocoles de communication inter-véhicules (IVC : Inter-Vehicle Communication) font face à de

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Guillouet, Brendan. "Apprentissage statistique : application au trafic routier à partir de données structurées et aux données massives." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30205/document.

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Cette thèse s'intéresse à l'apprentissage pour données massives. On considère en premier lieu, des trajectoires définies par des séquences de géolocalisations. Une nouvelle mesure de distance entre trajectoires (Symmetrized Segment-Path Distance) permet d'identifier par classification hiérarchique des groupes de trajectoires, modélisés ensuite par des mélanges gaussiens décrivant les déplacements par zones. Cette modélisation est utilisée de façon générique pour résoudre plusieurs types de problèmes liés aux trafic routier : prévision de la destination finale d'une trajectoire, temps d'arrivée

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Centenaro, Marco. "On the Support of Massive Machine-to-Machine Traffic in Heterogeneous Networks and Fifth-Generation Cellular Networks." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426783.

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The widespread availability of many emerging services enabled by the Internet of Things (IoT) paradigm passes through the capability to provide long-range connectivity to a massive number of things, overcoming the well-known issues of ad-hoc, short-range networks. This scenario entails a lot of challenges, ranging from the concerns about the radio access network efficiency to the threats about the security of IoT networks. In this thesis, we will focus on wireless communication standards for long-range IoT as well as on fundamental research outcomes about IoT networks. After investigating how

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Aldabbas, Hamza. "Securing data dissemination in vehicular ad hoc networks." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/7987.

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Vehicular ad hoc networks (VANETs) are a subclass of mobile ad hoc networks (MANETs) in which the mobile nodes are vehicles; these vehicles are autonomous systems connected by wireless communication on a peer-to-peer basis. They are self-organized, self-configured and self-controlled infrastructure-less networks. This kind of network has the advantage of being able to be set-up and deployed anywhere and anytime because it has no infrastructure set-up and no central administration. Distributing information between these vehicles over long ranges in such networks, however, is a very challenging

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Körner, Matthias. "Nutzungsmöglichkeiten von Floating Car Data zur Verkehrsflussoptimierung: Schaffung erweiterter und verbesserter Datengrundlagen für das operative Straßenverkehrsmanagement und die Verkehrsplanung." Technische Universität Dresden, 2011. https://tud.qucosa.de/id/qucosa%3A26113.

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Floating Car Data (FCD) besitzen eine sehr breite Palette an Anwendungsmöglichkeiten, die aber teilweise noch keine massenhafte Verbreitung gefunden haben, auch wenn das Innovationspotenzial als sehr hoch eingeschätzt wird. Dies begründet sich in erster Linie durch die meist relativ großen Erfassungsintervalle bei der derzeitigen FCD-Erfassung. In Dresden ist ein Taxi-FCD-System in Betrieb, welches sich durch eine sehr hohe Detektionsdichte auszeichnet. Die Fahrzeugpositionen werden mindestens alle 5 Sekunden aufgezeichnet. Damit bestehen ausgezeichnete Möglichkeiten, mögliche Mehrwerte zu pr

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Clairais, Aurélien. "Calage en ligne d'un modèle dynamique de trafic routier pour l'estimation en temps réel des conditions de circulation." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSET004/document.

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Les modèles de trafic ont une importance capitale pour la compréhension et la prévision des phénomènes liés aux conditions de circulation. Ils représentent une aide précieuse à tous les niveaux de gestion du trafic. Cette thèse s'attache aux problématiques liées à la gestion du trafic au quotidien. Pour les gestionnaires de réseaux, quatre enjeux sont traités. L'enjeu de rapidité renvoie au choix de l'échelle de représentation et la formulation du modèle d'écoulement. Le modèle retenu est le modèle LWR lagrangien-spatial. La fiabilité est un enjeu relatif à la prise en compte des erreurs de mo

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Salotti, Julien. "Méthodes de sélection de voisinage pour la prévision à court-terme du trafic urbain." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI077.

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Dans le contexte de la ville intelligente, le besoin d’informer, d’anticiper, et d’agir sur l’état du réseau routier est à l'origine du développement de nombreuses méthodes de prévision de trafic. L’augmentation de nos capacités à stocker et à traiter des données, notamment en temps réel, ainsi que le nombre croissant de segments de routes équipés de capteurs sont de nouveaux éléments à considérer lors du choix d’une méthode de prévision. Malgré de nombreux travaux de recherche, nous ne disposons toujours pas d’une compréhension claire des critères permettant de prédire efficacement à l’échell

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Christoforou, Zoi. "Incidence occurrence and response on urban freeways." Phd thesis, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00626573.

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Research on road safety has been of great interest to engineers and planners for decades. Regardless of modeling techniques, a serious factor of inaccuracy - in most past studies - has been data aggregation. Nowadays, most freeways are equipped with continuous surveillance systems making disaggregate traffic data readily available ; these have been used in few studies. In this context, the main objective of this dissertation is to capitalize highway traffic data collected on a real-time basis at the moment of accident occurrence in order to expand previous road safety work and to highlight pot

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Alkadi, Alaa. "Anomaly Detection in RFID Networks." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/768.

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Available security standards for RFID networks (e.g. ISO/IEC 29167) are designed to secure individual tag-reader sessions and do not protect against active attacks that could also compromise the system as a whole (e.g. tag cloning or replay attacks). Proper traffic characterization models of the communication within an RFID network can lead to better understanding of operation under “normal” system state conditions and can consequently help identify security breaches not addressed by current standards. This study of RFID traffic characterization considers two piecewise-constant data smoothing

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Piecek, Adam. "Modul pro sledování politiky sítě v datech o tocích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403192.

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The aim of this master's thesis is to design a language through which it would be possible to monitor a stream of network flows in order to detect network policy violations in the local network. An analysis of the languages used in the data stream management systems and an analysis of tasks submitted by the potential administrator were both carried out. The analysis specified resulted in the language design which represents pipelining consisting of filtering and aggregation. These operations can be clearly defined and managed within security rules. The result of this thesis also results in the

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Scarlato, Michele. "Sicurezza di rete, analisi del traffico e monitoraggio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3223/.

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Il lavoro è stato suddiviso in tre macro-aree. Una prima riguardante un'analisi teorica di come funzionano le intrusioni, di quali software vengono utilizzati per compierle, e di come proteggersi (usando i dispositivi che in termine generico si possono riconoscere come i firewall). Una seconda macro-area che analizza un'intrusione avvenuta dall'esterno verso dei server sensibili di una rete LAN. Questa analisi viene condotta sui file catturati dalle due interfacce di rete configurate in modalità promiscua su una sonda presente nella LAN. Le interfacce sono due per potersi interfacciar

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