Bibliografie tematiche / Transport intelligent

Letteratura scientifica selezionata sul tema "Transport intelligent"

Autore: Grafiati

Pubblicato: 1 giugno 2024

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Articoli di riviste sul tema "Transport intelligent":

Kazembe, Mangani Daudi. "Intelligent Transport Systems". International Journal for Research in Applied Science and Engineering Technology 10, n. 7 (31 luglio 2022): 488–92. http://dx.doi.org/10.22214/ijraset.2022.45271.

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Abstract: Growing economic activities aand others are among the factors that make many cities busy places today especially in traffic systems. Road networks that seem to be spacious sometimes become completely congested so much so that traffic mobility looks standstill. This impacts negatively on traffic users resources in terms of time management, fuel and other resource. This paper discusses the background trend in traffic activities amid congestion environment and proposes an Intelligent Traffic System that uses Machine Learning technique of predictive classification and regression to help traffic users determine forehand on the congestion status of available roads or highways. This further suggests that if the road user tries to avoid congestion, then the congestion levels will minimize. For simplicity, the data that has been used for congestion has been from a csv file containing previous datasets of local roads or highways.

Gustafsson, J. "Vectus—Intelligent Transport". Proceedings of the IEEE 97, n. 11 (novembre 2009): 1856–63. http://dx.doi.org/10.1109/jproc.2009.2030242.

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Carter, Alan. "Intelligent Transport Systems". Journal of Navigation 54, n. 1 (gennaio 2001): 57–64. http://dx.doi.org/10.1017/s0373463300001156.

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This and the following paper were first presented at NAV 2000 on Thursday, 2 November 2000 – the day devoted to Location and Communication for Land Vehicles.This paper discusses the need for Intelligent Transport Systems (ITS) and the key factors influencing the Government's Integrated Transport Policy. Typical ITS projects and applications in the UK are reviewed and conclusions drawn.

STODOLA, Jiri, Petr STODOLA e Jan FURCH. "Intelligent Transport Systems". Challenges to national defence in contemporary geopolitical situation 2022, n. 1 (3 novembre 2022): 41–49. http://dx.doi.org/10.47459/cndcgs.2022.5.

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An important strategic goal of the infrastructure development in the Czech Republic is the use of modern detection, diagnostic, information, control and security technologies based on intelligent transport systems (ITS), global navigation satellite systems and Earth observation systems. The modern transport system is based on a multimodal and intermodal approach. The individual modes of transport are being developed to form a coherent whole from the users’ point of view. Transport infrastructure and vehicles must be in good technical condition and equipped with intelligent technologies. Managing the process of transporting people and goods requires reliable transmission of information in real time. The transport system must also be operated in a secure manner, be prepared for risk and emergencies and have the ability to deal with security threats arising from illegal behaviour. The paper briefly shows the process of building ITS, the possibilities of using modern intelligent information, diagnostic, control and safety technologies in transport until 2027 with a view to 2050.

Tsugawa, Sadayuki. "Intelligent Transport Systems. An Overview on the Intelligent Transport Systems." Journal of the Robotics Society of Japan 17, n. 3 (1999): 312–20. http://dx.doi.org/10.7210/jrsj.17.312.

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U.J Phatak, U. J. Phatak, Nivedita Kaushik Nivedita Kaushik, Lintu Abraham, Sudeep Mitra e Sagar Dalal. "Intelligent Transport System: A Sustainable Future Prospect". International Journal of Scientific Research 3, n. 4 (1 giugno 2012): 157–58. http://dx.doi.org/10.15373/22778179/apr2014/54.

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Bian, Chentong, Guodong Yin, Liwei Xu e Ning Zhang. "REAR-END COLLISION ESCAPE ALGORITHM FOR INTELLIGENT VEHICLES SUPPORTED BY VEHICULAR COMMUNICATION". Transport 37, n. 6 (31 dicembre 2022): 398–410. http://dx.doi.org/10.3846/transport.2022.18172.

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To reduce rear-end collision risks and improve traffic safety, a novel rear-end collision escape algorithm is proposed for intelligent vehicles supported by vehicular communication. Numerous research has been carried out on rear-end collision avoidance. Most of these studies focused on maintaining a safe front clearance of a vehicle while only few considered the vehicle’s rear clearance. However, an intelligent vehicle may be collided by a following vehicle due to wrong manoeuvres of an unskilled driver of the following vehicle. Hence, it is essential for an intelligent vehicle to maintain a safe rear clearance when there is potential for a rear-end collision caused by a following vehicle. In this study, a rear-end collision escape algorithm is proposed to prevent rear-end collisions by a following vehicle considering both straight and curved roads. A trajectory planning method is designed according to the motions of the considered intelligent vehicle and the corresponding adjacent vehicles. The successive linearization and the Model Predictive Control (MPC) algorithms are used to design a motion controller in the proposed algorithm. Simulations were performed to demonstrate the effectiveness of the proposed algorithm. The results show that the proposed algorithm is effective in preventing rear-end collisions caused by a following vehicle.

Wang, Wuhong, Geert Wets, Heiner Bubb e Huimin Niu. "Green Intelligent Transport System". Discrete Dynamics in Nature and Society 2014 (2014): 1–2. http://dx.doi.org/10.1155/2014/250475.

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Pangbourne, Kate, e Seraphim Alvanides. "Towards intelligent transport geography". Journal of Transport Geography 34 (gennaio 2014): 231–32. http://dx.doi.org/10.1016/j.jtrangeo.2013.10.005.

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Babich, Y., D. Bagachuk, L. Bukata, L. Hlazunova e S. Shnaider. "DIGITAL ENTITIES COMMUNICATION WITHIN A BLOCKCHAIN-ENABLED INTELLIGENT TRANSPORT SYSTEM". Information and communication technologies, electronic engineering 3, n. 2 (settembre 2023): 12–19. http://dx.doi.org/10.23939/ictee2023.02.012.

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Nowadays the blockchain is considered to be an integral part of intelligent transport systems. Intelligence of a transport systems allows to increase road safety, wisely utilize systems’ resources and provide additional services to participants. However, blockchain implementations for intelligent transport systems must be adopted to the peculiarities of such systems. This work analyzes existing blockchain solutions, their features, advantages, drawbacks, and presents a consortium type blockchain implementation for an intelligent transport system. This implementation includes a two-layered architecture of digital entities interaction, consideration for digital entities distribution over the layers, consensus mechanism selection and its implementation, trust model considerations, and a block structure for the proposed blockchain implementation. The article also brings the solution to the single point of failure vulnerability of the proposed blockchain system. Thus, the paper covers key aspects of a blockchain design for an intelligent transport system.

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Tesi sul tema "Transport intelligent":

Rajbhandari, Bidur. "Modelling intelligent transport systems applications for public transport". Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246885.

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Berg, Morten. "Evaluation of Intelligent Transport System Applications". Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9234.

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Most people in the developed world depend on transportation, both privately and in business. Overpopulated roads lead to problems like traffic inefficiency, e.g. congestion, and traffic accidents. Intelligent Transport Systems (ITS) deals with the integration of information technology into the transport system. Through this, applications for improving traffic efficiency, traffic safety and the driving experience are introduced. This report is going to look at ITS systems in general, explore an international standard under development for communication systems designed for these kinds of applications (CALM), look at a project aimed to use this standard to create a international system for ITS applications (CVIS), and explore some of the proposed applications for this system. A few applications have been thoroughly described and analysed through the use of use cases. This has resulted in a set of test cases from which the applications can be evaluated. Through the execution of these test cases it would be possible to draw conclusions on whether or not the applications proposed will be viable in a real world situation.

Hadjidimitriou, Natalia <1979&gt. "Classification algorithms for Intelligent Transport Systems". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7107/5/Natalia_Selini_Hadjidimitriou_Tesi.pdf.

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Intelligent Transport Systems (ITS) consists in the application of ICT to transport to offer new and improved services to the mobility of people and freights. While using ITS, travellers produce large quantities of data that can be collected and analysed to study their behaviour and to provide information to decision makers and planners. The thesis proposes innovative deployments of classification algorithms for Intelligent Transport System with the aim to support the decisions on traffic rerouting, bus transport demand and behaviour of two wheelers vehicles. The first part of this work provides an overview and a classification of a selection of clustering algorithms that can be implemented for the analysis of ITS data. The first contribution of this thesis is an innovative use of the agglomerative hierarchical clustering algorithm to classify similar travels in terms of their origin and destination, together with the proposal for a methodology to analyse drivers’ route choice behaviour using GPS coordinates and optimal alternatives. The clusters of repetitive travels made by a sample of drivers are then analysed to compare observed route choices to the modelled alternatives. The results of the analysis show that drivers select routes that are more reliable but that are more expensive in terms of travel time. Successively, different types of users of a service that provides information on the real time arrivals of bus at stop are classified using Support Vector Machines. The results shows that the results of the classification of different types of bus transport users can be used to update or complement the census on bus transport flows. Finally, the problem of the classification of accidents made by two wheelers vehicles is presented together with possible future application of clustering methodologies aimed at identifying and classifying the different types of accidents.

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Luk, Yiu-wah Everett, e 陸耀華. "Potential applications of intelligent transport systems in urban freight transport". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29851397.

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Mbiydzenyuy, Gideon. "Quantitative Assessment of Intelligent Transport Systems for Road Freight Transport". Doctoral thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00553.

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In this thesis, methods for using computer-based models as support tools for assessing Transport Telematic Services (TTSs) are studied. Such assessments provide one way to understand how TTSs can address problems caused by transportation, such as accidents, emissions, and energy consumption. TTSs are services based on telematic systems which are Intelligent Transport Systems (ITS) involving the integrated use of information and communication technologies in transport. The focus is on TTSs that are relevant for road freight transport, even though the suggested methods can easily be adapted for TTSs in other areas. We characterize TTSs, e.g., in terms of their functionalities, and apply computer-based modeling for pre-deployment assessment of various TTSs (from an ex-ante perspective). By analyzing information provided by the suggested computer-based models, it is possible to make an informed decision whether to (or not to) deploy a given TTS. A review of previous studies reveals information about relevant TTSs for freight transport in areas such as driver support, administration, safety, traffic management, parking, and goods handling. A hierarchical clustering algorithm and a k-minimum spanning tree algorithm were employed to analyze synergies of TTSs. Synergies can enable identification of sets of TTSs that can lead to cost savings if deployed on a common platform (cf. Multi-Service Architectures). An analytical model inspired by the net present value concept is used to estimate quantified societal benefits of TTSs. An optimization model is formulated and solved using a branch and bound method to determine an optimal combination of TTSs taking into consideration societal benefits, costs, dependencies, and synergies. The optimization model also addresses possible system architectures for achieving multiple TTSs. Dominance rough set approach is used to assess and compare benefit areas for TTSs specific to truck parking. The benefit areas are suggested with the help of conceptual modeling, which describes functional models of a system in terms of states, transitions among states, and actions performed in states. The main scientific contributions of the thesis are in suggesting new quantitative models, extending and applying existing models in the assessments of TTSs, and obtaining results that can help decision-makers select TTSs for medium-to long-term investments. Researchers can employ and build on the proposed methods when addressing different scenarios (geographic or organizational) involving similar TTSs. By studying a range of TTSs and possible Multi-Service Architecture concepts for such TTSs, the thesis contributes to achieving convergence of TTSs in a Multi-Service Architecture environment that will improve cost efficiency, minimize redundancies, and encourage the establishment of standards in the deployment of TTSs in road freight transport. TTSs implemented in such an environment can contribute to optimizing available capacity, accuracy, speed, and efficiency of road freight transport systems.

BENVENUTI, FILIPPO. "Intelligent Decision Support Systems in Public Transport". Doctoral thesis, Università Politecnica delle Marche, 2018. http://hdl.handle.net/11566/252967.

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Nelle ultime decadi, l'incremento dell'efficienza di un Sistema di Trasporto Pubblico urbano (STP) sta assumendo un ruolo chiave nello sviluppo della società moderna. Ciononostante, la realtà è piuttosto lontana da un "mondo STP ideale", in cui i Trasporti Pubblici urbani non hanno particolari problemi nel fornire servizi efficaci ed efficienti nelle grandi citta. La realtà ci racconta che i gestori dei sistemi di trasporto urbano, nella maggior parte delle grandi città, stanno incontrando difficoltà sempre crescenti a mantenere alti livelli di efficienza. Per rispondere a questi problemi, in questo lavoro, vengono presentate tre proposte differenti. Innanzitutto è stato realizzato un framework volto a facilitare la progettazione di un sistema di monitoraggio nel settore dei trasporti pubblici, adottando lo standard europeo Transmodel come modello di riferimento. Il sistema proposto viene realizzato partendo dalla definizione di una "Knowledge Base" rappresentante una concettualizzazione del dominio del trasporto pubblico, al si sopra della quale vengono sviluppate una serie di funzionalità "logic-based". La seconda soluzione proposta consiste nell'implementazione di un algoritmo di previsione utilizzato per predire il tempo di arrivo alla fermate dell'autobus nelle aree urbane, permettendo di migliorare la percezione dei viaggiatori sulla qualità del servizio offerto. Negli ultimi anni, oltre ai modelli formati da un singolo algoritmo (chiamati "Modelli semplici"), sono emersi modelli formati dalla composizione di più algoritmi (chiamati "Modelli ibridi"). In questo lavoro viene fornita una panoramica di "Modelli ibridi" confrontandone, allo stesso tempo, le prestazioni con "Modelli semplici" applicandoli ad un caso di studio reale. Da tale studio emerge che i "Modelli ibridi" superano le prestazioni "Modelli semplici" in ogni esperimento eseguito. Il terzo modello proposto si focalizza sullo studio di una metodologia "umbalanced" applicabile a sistemi di visione per risolvere le problematiche legate alla gestione del traffico, come, ad esempio, la ricerca di parcheggi. A tale scopo viene sviluppata un'applicazione software per ottimizzare la fruizione dei parcheggi minimizzando, allo stesso tempo, il traffico causato dalla ricerca degli stessi. A causa della mancanza di dati utilizzabili, al fine di valutare comunque la qualità della metodologia proposta, tale modello è stato testato con il problema di rilevamento automatico di edifici a partire da dati aerei LIDAR. Il problema della Building Detection automatica a partire da dati aerei, in letteratura, rappresenta un dominio applicativo notoriamente "difficile" da affrontare, a causa lo squilibrio che caratterizza i set di dati utilizzati. Il metodo proposto sfrutta l'algoritmo di Baesyan Vector Quantizer (BVQ) ed, al fine di verificarne l'efficienza in domini applicativi fortemente "umbalanced", è stato confrontato con altre metodologie note, come Adaboost o Metacost, in un vero e proprio caso di studio reale. I set di dati utilizzati sono formati da quattro classi fortemente sbilanciate (edificio, vegetazione alta, vegetazione bassa e strade) ed i risultati ottenuti hanno dimostrato che BVQ supera le prestazioni delle altre metodologie nella totalità degli esperimenti eseguiti.
In the last years, the significance of improving efficiency of urban Public Transport Systems (PTSs) is taking a key role in the development of modern society. In an ideal world, urban PTSs have no particular problems in providing effective and efficient services that improve the Quality of Life (QoL) of people living in big urban areas. An efficient service would also help to solve some additional problems, such as air pollution and traffic congestions that often afflict high density urban areas. The reality, however, is that urban transportation systems in most big cities are far from ideal. Managers of PTSs services are experiencing ever greater difficulties in maintaining high levels of efficiency due to the ever-increasing congestion affecting the major urban centers. In order to face these issues and, at the same time, improve the efficiency of PTSs services, three different proposals are introduced. First, a framework, aimed to ease the design of a monitoring system in the public transport domain, has been realized by adopting the European standard Transmodel as reference model for a generic PTS system. The proposed framework is built around the definition of a knowledge base that includes a conceptualization of the public transportation domain, on the top of which a set of logic-based functionalities are developed. The second improvement proposed, consists in the implementation of a forecasting algorithm in order to predict arrival time at bus stop in urban areas that allows to improve the travelers' perception of the Quality of Service offered. In literature, several type of algorithms have been tested in order to predict arrival time at bus stops. However, in recent years, in addition to models formed by a single algorithm (called Simple Models), models formed by the composition of more algorithms (called Hybrid Models) have emerged. An overview of Hybrid Models has been performed by comparing them with Simple Models in a real-world case study from which resulted that the Hybrid Models outperform Simple Models in every experiment performed. The third improvement proposed regards the study of the impact of an "umbalanced" methodology in vision systems able to solve various issues related to traffic management such as parking discovery and occupational turnaround in order to develop a software application to optimize their employment and, in the same time, minimize traffic caused by parking lot search. Unfortunately PluService company, which provided the data to develop the entire work, had no dataset that can be used for the proposed purpose, and, for this reason, in order to assess the quality of the proposed methodology, it has been tested with building detection problem from LIDAR aerial data. Building Detection from aerial data, in literature, represents a notoriously "difficult" application domain to face, cause the imbalance that characterizes the datasets used. The proposed method takes advantage of the Baesyan Vector Quantizer (BVQ) algorithm and, in order to verify its efficiency in strongly umbalanced application domains, it has been compared with other well known methodologies, like Adaboost or Metacost, in a real-world case study. The datasets used are formed by four strongly imbalanced classes (building, high vegetation, low vegetation and streets) and the obtained results demonstrated that BVQ outperform the other methodologies applied in the totality of experiments performed.

Cheung, Suk-ling. "The potential of intelligent transport system (ITS) development in road transport of Hong Kong". Click to view the E-thesis via HKUTO, 2001. http://sunzi.lib.hku.hk/hkuto/record/B42575680.

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Le, Ahn Tuan. "Intelligent Control of Vehicle-Based Internal Transport Systems". [Rotterdam]: Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam ; Rotterdam : Erasmus University Rotterdam [Host], 2005. http://hdl.handle.net/1765/6554.

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Taylor, Malcolm Geoffrey. "Intelligent improvement of repetitive robot assembly tasks". Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308319.

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Libri sul tema "Transport intelligent":

Martins, Ana Lúcia, Joao C. Ferreira e Alexander Kocian, a cura di. Intelligent Transport Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97603-3.

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Hasan, Syed Faraz, Nazmul Siddique e Shyam Chakraborty. Intelligent Transport Systems. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3272-2.

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Perallos, Asier, Unai Hernandez-Jayo, Enrique Onieva e Ignacio Julio García-Zuazola. Intelligent Transport Systems. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.

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Martins, Ana Lucia, Joao C. Ferreira, Alexander Kocian, Ulpan Tokkozhina, Berit Irene Helgheim e Svein Bråthen, a cura di. Intelligent Transport Systems. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-49379-9.

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Martins, Ana Lucia, Joao C. Ferreira, Alexander Kocian e Ulpan Tokkozhina, a cura di. Intelligent Transport Systems. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30855-0.

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European Commission. Directorate-General for Energy and Transport., a cura di. Intelligent transport systems: Intelligence at the service of transport networks. Luxembourg: Office for Official Publications of the European Communities, 2003.

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WANG, Yunpeng, Xinping YAN, Guangquan LU e Chaozhong WU, a cura di. Intelligent Road Transport Systems. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5776-4.

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Williams, Bob. Intelligent transport systems standards. Boston: Artech House, 2008.

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Williams, Bob. Intelligent transport systems standards. Boston: Artech House, 2008.

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Mine, Tsunenori, Akira Fukuda e Shigemi Ishida, a cura di. Intelligent Transport Systems for Everyone’s Mobility. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7434-0.

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Capitoli di libri sul tema "Transport intelligent":

Chavret, Michel. "Intelligent Transport Systems". In Systems of Systems, 223–34. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557495.ch6.

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Pietrzykowski, Zbigniew. "Maritime Intelligent Transport Systems". In Communications in Computer and Information Science, 455–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16472-9_50.

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Molinete, Begoña, Sergio Campos, Ignacio Iñaki Olabarrieta e Ana Isabel Torre. "Reference ITS Architectures in Europe". In Intelligent Transport Systems, 1–17. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch1.

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Zhang, Xiao, Enrique Onieva, Victor C. S. Lee e Kai Liu. "Congestion Prediction by Means of Fuzzy Logic and Genetic Algorithms". In Intelligent Transport Systems, 189–205. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch10.

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Pérez, Joshué, David Gonzalez e Vicente Milanés. "Vehicle Control in ADAS Applications". In Intelligent Transport Systems, 206–19. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch11.

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Ruddle, Alastair R., e Lester Low. "Review of Legal Aspects Relating to Advanced Driver Assistance Systems". In Intelligent Transport Systems, 220–46. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch12.

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Amador, António, Rui Dias, Tiago Dias e Tomé Canas. "Traffic Management Systems". In Intelligent Transport Systems, 247–71. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch13.

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Mandžuka, Sadko, Edouard Ivanjko, Miroslav Vujić, Pero Škorput e Martin Gregurić. "The Use of Cooperative ITS in Urban Traffic Management". In Intelligent Transport Systems, 272–88. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch14.

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Aguiriano, Nerea, Alfonso Brazalez e Luis Matey. "Methodology for an Intelligent in-Car Traffic Information Management System". In Intelligent Transport Systems, 289–312. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch15.

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Moreno, Asier, Itziar Salaberria e Diego López-de-Ipiña. "New Approaches in User Services Development for Multimodal Trip Planning". In Intelligent Transport Systems, 313–30. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch16.

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Atti di convegni sul tema "Transport intelligent":

Das Mecês, Wallyson O., Edson M. Da Costa, Jailton W. Tavares, Patrícia P. Diniz e Renato H. Torres. "ROBTK: An intelligent robot to transport objects". In VI Encontro Nacional de Computação dos Institutos Federais. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/encompif.2019.6344.

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Abstract (sommario):

Studies show that every year the number of accidents and medical care expenses increase due to the work accident. In the context of transporting objects, many activities are still carried out by human labor which in many cases may be subject to disasters due to the high number of hours worked or due to unhealthy activities. Taking into account the presented scenario, this work aims to introduce the robot ROBTK an intelligent robot to transport objects. We developed robot intelligence building a convolutional neural network (CNN) to perform object classification. The tests performed showed that both the intelligence and the mechanics designed are efficient.

Richter, T., e S. Ruhl. "The integration of intelligent transport systems in urban transport". In URBAN TRANSPORT 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/ut130181.

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Shah, A. A., N. P. Mahalik, J. Namkoong e J. D. Lee. "Intelligent transportation-deployment and development process in Korea". In URBAN TRANSPORT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/ut060741.

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Saracin, Aurel. "TELEMATICS AND INTELLIGENT TRANSPORT". In 18th International Multidisciplinary Scientific GeoConference SGEM2018. Stef92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018/2.2/s08.054.

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Mehta, V., W. Walker, V. Marchau e B. Agusdinata. "Innovative policies for implementing intelligent speed adaptation on urban roads". In URBAN TRANSPORT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/ut060681.

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Kaysi, I. "Evaluating emissions implications of proposed Intelligent Transportation Systems deployments: Canadian experience". In URBAN TRANSPORT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/ut060711.

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Lee, K. M., J. H. Baek, T. K. Ahn, G. O. Kim e J. H. Lee. "The development of an intelligent surveillance system for Korea urban transit". In URBAN TRANSPORT 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/ut130151.

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Khan, A. M., J. Armstrong e A. Munir. "Role of microsimulation in evaluating intelligent transportation systems applications in urban transportation". In URBAN TRANSPORT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/ut060701.

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Arhin, S. A., e A. Eskandarian. "Driver behaviour models for a driving simulator-based intelligent speed adaptation system". In URBAN TRANSPORT 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/ut090181.

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Bazaras, Ž., A. Česnulevičius, D. Micevičienė, O. Purvinis e A. Tautkus. "The peculiarities of travel cost measurement using intelligent technologies: theory and evidence". In URBAN TRANSPORT 2014. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/ut140441.

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Rapporti di organizzazioni sul tema "Transport intelligent":

Georgakis, Panagiotis, Christopher Nwagboso e Yan Chen. Design Toolkit for Integration of Intelligent Transport Systems. Warrendale, PA: SAE International, maggio 2005. http://dx.doi.org/10.4271/2005-08-0320.

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Serhrouchni, A., e H. Labiod. TLS Authentication Using Intelligent Transport System (ITS) Certificates. A cura di M. Msahli, N. Cam-Winget e W. Whyte. RFC Editor, settembre 2020. http://dx.doi.org/10.17487/rfc8902.

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Ostrum, Lee, e Milos Manic. Demonstrating Hybrid Heat Transport and Energy Conversion System Performance Characterization Using Intelligent Control Systems. Office of Scientific and Technical Information (OSTI), settembre 2017. http://dx.doi.org/10.2172/1407694.

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Fowler, Camilla. Automation in transport - Leading the UK to a driverless future. TRL, luglio 2021. http://dx.doi.org/10.58446/tawj9464.

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The gap between technology development and automated vehicle deployment has been underestimated and the challenges involved with delivering autonomy have been far greater and more complex than first envisaged. TRL believe that in order for the UK to achieve its potential for automation in transport, the following activities are key in overcoming these challenges: Develop a UK regulatory approval system that enables the safe and secure deployment of automated vehicles in the future. A flexible and responsive regulatory system is needed that can enable innovation by streamlining entry into emerging markets and lessen the initial regulatory burden on developers and manufacturers. Provide a simple, consistent but robust approach to assuring safety during trials and testing to enable and facilitate trials across all UK locations and environments. The approach to safety assurance varies between stakeholders and this inconsistency can provide a barrier to testing in multiple locations or avoiding areas with more stringent requirements. TRL is developing a software tool that could be used to guide and support stakeholders when engaging with trialling organisations. Develop and implement a UK safety monitoring and investigation unit to monitor safety, analyse data, investigate incidents and provide timely feedback and recommended actions. TRL can identify road user behaviours that are likely to lead to a collision. These behaviours could be monitored using in-vehicle data and supplemented with environmental and location data from intelligent infrastructure. This proactive approach would drive safety improvements, promote continuous improvement, accelerate innovation and development and make Vision Zero a more realistic and achievable target. Enable more advanced trials to be undertaken in the UK where the boundaries of the technology are extended and solutions to the identified challenges are explored without compromising safety. London’s Smart Mobility Living Lab (SMLL) provides a unique real-world test facility to conduct advanced tests and validate vehicle behaviour performance. Through testing in a real-world environment and monitoring performance using cooperative infrastructure, we can accelerate learning and technology progression. Accelerate the adoption and safe implementation of automated vehicles for off- highway activities and minimise worker exposure to high risk environments and working practices within the UK and globally. As part of an Innovate funded project on Automated Off-highway Vehicles, TRL has developed and published a draft Code of Practice providing guidance to operators of automated vehicles in all sectors of the off-highway industry.

Pyta, V., Bharti Gupta, Shaun Helman, Neale Kinnear e Nathan Stuttard. Update of INDG382 to include vehicle safety technologies. TRL, luglio 2020. http://dx.doi.org/10.58446/thco7462.

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Driving is one of the riskiest work tasks, accounting for around one third of fatal crashes in the UK. Organisations are expected to manage work-related road safety (WRRS) in the same way that they manage other health and safety risks. The Health and Safety Executive (HSE) and Department for Transport (DFT) issue joint guidance on this in INDG382 ‘Driving at work: managing work-related road safety’. HSE and DFT were seeking to update INDG382 to include reference to vehicle safety technologies that could enable employers to monitor safety related events or driver behaviours, to support learning and safety improvements. They commissioned TRL to - Conduct a literature review focused on evaluations of the impact of these technologies on work-related road safety (specifically, crash risk) Lead in-depth interviews with representatives of organisations who had implemented technology-based safety monitoring in their fleet and stakeholders and experts who provided further insights into factors affecting successful implementation. TRL found that telematics systems, drowsiness and distraction recognition systems, and collision warning systems have significant potential safety benefits, but rigorous published evaluation of safety-focused telematics in the fleet context is limited. There is good evidence for the safety benefits of intelligent speed assist in private and fleet vehicles. Successful implementation relies on procuring systems that match needs, managing the potential for data to overwhelm and embedding monitoring and driver feedback within good management systems and strong safety leadership. This report provides recommendations for updating guidance for organisations considering implementing vehicle safety monitoring technologies (telematics).

Kwon, Heeseo Rain, HeeAh Cho, Jongbok Kim, Sang Keon Lee e Donju Lee. International Case Studies of Smart Cities: Anyang, Republic of Korea. Inter-American Development Bank, giugno 2016. http://dx.doi.org/10.18235/0007013.

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This case study is one of ten international studies developed by the Korea Research Institute for Human Settlements (KRIHS), in association with the Inter-American Development Bank (IDB), for the cities of Anyang, Medellin, Namyangju, Orlando, Pangyo, Rio de Janeiro, Santander, Singapore, Songdo, and Tel Aviv. At the IDB, the Competitiveness and Innovation Division (CTI), the Fiscal and Municipal Management Division (FMM), and the Emerging and Sustainable Cities Initiative (ESCI) coordinated the study. This project was part of technical cooperation ME-T1254, financed by the Knowledge Partnership Korean Fund for Technology and Innovation of the Republic of Korea. At KRIHS, the National Infrastructure Research Division coordinated the project and the Global Development Partnership Center provided the funding. Anyang, a 600,000 population city near Seoul is developing international recognition on its smart city project that has been implemented incrementally since 2003. This initiative began with the Bus Information System to enhance citizen's convenience at first, and has been expanding its domain into wider Intelligent Transport System as well as crime and disaster prevention in an integrated manner. Anyang is evaluated as a benchmark for smart city with a 2012 Presidential Award in Korea and receives large number of international visits. Anyang's Integrated Operation and Control Center (IOCC) acts as the platform that gathers, analyzes and distributes information for mobility, disasters management and crime. Anyang is currently utilizing big data for policy development and is continuing its endeavor to expand its smart city services into areas such as waste and air quality management. Anyang's success factors are the government officials' continuous willingness towards service development and the establishment of cooperation system among the smart city-related organizations.

Dudoit, Alain. The urgency of the first link: Canada’s supply chain at breaking point, a national security issue. CIRANO, luglio 2023. http://dx.doi.org/10.54932/cxwf7311.

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The creation of an intelligent supply chain is now an urgent national security priority that cannot be achieved without the joint mobilization of various stakeholders in Canada. It is not, however, an end in itself: the achievement of a single, competitive, sustainable, and consumer-focused domestic market should be the ultimate outcome of the national taskforce needed to collaboratively implement the recommendations of three complementary public policy reports published in 2022 on the state of the supply chain in Canada. The supply chain challenge is vast, and it will only become more complex over time. Governments in Canada must act together now, in conjunction with collaborative efforts with our allies and partners, notably the United States and the European Union, to ensure supply chain resilience in the face of accelerating current and anticipated upheavals, geopolitical conflicts and natural disasters. Québec's geostrategic position is a major asset, and gives it a critical role and responsibility in implementing not only the Final Report of the National Supply Chain Task Force ("ACT"), but also of the recommendations contained in the report published by the Council of Ministers Responsible for Transportation and Highway Safety (COMT) and those contained in the report of the House of Commons Standing Committee on Transport, Infrastructure and Communities published in Ottawa in November 2022, "Improving the Efficiency and Resilience of Canada's Supply Chains". The mobilizing approach towards a common data space for Canada's supply chain is inspired by Advantage St. Lawrence's forward-looking Smart Economic Corridor vision and builds on and integrates experience gained from various initiatives and programs implemented in Canada, the U.S. and Europe, as appropriate. Its initial implementation in the St. Lawrence - Great Lakes trade corridor will facilitate the subsequent access and sharing of data from across the Canadian supply chain in a reliable and secure manner. The accelerated joint development of a common data space is a game-changer not only in terms of solving critical supply chain challenges, but also in terms of the impetus it will generate in the pursuit of fundamental Canadian priorities, including the energy transition. This Bourgogne report offers a four-part synthesis: - An overview of a background characterized by numerous consultations, strategy announcements, measures, and mixed results. - A cross-analysis of the recommendations of three important and complementary public policy reports at federal level, as well as the Quebec strategy, “l'Avantage Saint-Laurent”. - An analysis of the fundamental issues of mobilization capacity, execution, and under-utilization of data. - Some operational solutions for moving into « Action, Collaboration and Transformation » (ACT) mode.

Dudoit, Alain. L’urgence du premier lien : la chaîne d’approvisionnement du Canada au point de rupture, un enjeu de sécurité nationale. CIRANO, giugno 2023. http://dx.doi.org/10.54932/zjzp6639.

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La création d’une chaîne d'approvisionnement intelligente est désormais une priorité de sécurité nationale urgente qui ne peut être réalisée sans la mobilisation conjointe différentes parties prenantes au Canada. Elle n’est cependant pas une finalité en soi : la réalisation d’un marché intérieur unique, compétitif, durable et axé sur les consommateurs devrait être le résultat ultime du chantier national nécessaire à la mise en œuvre collaborative des recommandations de trois rapports complémentaires de politiques publiques publiés en 2022 sur l’état de la chaine d’approvisionnement au Canada. Le défi de la chaîne d'approvisionnement est vaste, et il ne fera que se compliquer au fil du temps. Les gouvernements au Canada doivent agir ensemble dès maintenant, en conjonction avec les efforts de collaboration avec nos alliés et partenaires notamment les États-Unis et l’Union Européenne pour assurer la résilience les chaînes d'approvisionnement face à l’accélération des bouleversements, conflits géopolitiques, catastrophes naturelles actuels et anticipés. La position géostratégique du Québec représente un atout majeur et l’investit d’un rôle et d’une responsabilité critiques dans la mise en œuvre non seulement du Rapport final du groupe de travail national sur la chaine d’approvisionnement (« ACT »), mais aussi des recommandations contenues dans le rapport publié par le Conseil des ministres responsables des transports et de la sécurité routière (COMT) et celles contenues dans le rapport du Comité permanent de la Chambre des communes sur les transports, l'infrastructure et les collectivités publié à Ottawa en novembre 2022 , « Améliorer l’efficacité et la résilience des chaînes d’approvisionnement du Canada ». La démarche mobilisatrice vers un espace commun des données pour la chaine d’approvisionnement du Canada s’inspire de la vision à terme du corridor économique intelligent d’Avantage Saint-Laurent et repose sur l'expérience acquise grâce à différentes initiatives et programmes mis en œuvre au Canada, aux États-Unis et en Europe, et les intègre tel qu’approprié. Sa mise en œuvre dans une première étape dans le corridor commercial du Saint-Laurent Grands Lacs facilitera l’accès et le partage par la suite des données de l’ensemble de la chaine d’approvisionnement au Canada de manière fiable et sécurisée. Le développement conjoint accéléré d’un espace commun de données changera la donne non seulement dans la résolution des défis critiques de la chaine d’approvisionnement mais aussi dans l’impulsion qu’il générera dans la poursuite de priorités fondamentales au Canada dont celle de la transition énergétique. Ce rapport Bourgogne propose une synthèse en quatre volets : 1. Un survol d’un arrière-plan caractérisé par de nombreuses consultations, annonces de stratégies, mesures et des résultats mitigés. 2. Une analyse croisée des recommandations de trois rapports importants et complémentaires de politiques publiques au niveau fédéral ainsi que de la stratégie québécoise, l’Avantage Saint-Laurent. 3. Une analyse des enjeux fondamentaux de capacité de mobilisation, d’exécution et de sous-utilisation des données. 4. Quelques pistes de solutions opérationnelles pour passer au mode « Action -Collaboration et Transformation (ACT)

Doo, Johnny. The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, settembre 2023. http://dx.doi.org/10.4271/epr2023020.

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<div class="section abstract"><div class="htmlview paragraph">Advancements in electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry. One particularly promising application involves on-demand, rapid-response use cases to broaden first responders, police, and medical transport mission capabilities. With the dynamic and varying public service operations, eVTOL aircraft can offer potentially cost-effective aerial mobility components to the overall solution, including significant lifesaving benefits.</div><div class="htmlview paragraph"><b>Multi-agent Collaborative Perception for Autonomous Driving: Unsettled Aspects</b> discusses the challenges need to be addressed before identified capabilities and benefits can be realized at scale: <ul class="list disc"><li class="list-item"><div class="htmlview paragraph">Mission-specific eVTOL vehicle development </div></li><li class="list-item"><div class="htmlview paragraph">Operator- and patient-specific accommodations</div></li><li class="list-item"><div class="htmlview paragraph">Detect-and-avoid capabilities in complex and challenging operating environments</div></li><li class="list-item"><div class="htmlview paragraph">Autonomous and artificial intelligence-enhanced mission capabilities</div></li><li class="list-item"><div class="htmlview paragraph">Home-base charging systems for battery power platforms</div></li><li class="list-item"><div class="htmlview paragraph">Simplified operator and support training</div></li><li class="list-item"><div class="htmlview paragraph"> Vehicle/fleet maintenance and support</div></li><li class="list-item"><div class="htmlview paragraph">Acceptance and participation from stakeholder services, local and state-level leadership, field operators, and support team members</div></li></ul></div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>

Ruvinsky, Alicia, Timothy Garton, Daniel Chausse, Rajeev Agrawal, Harland Yu e Ernest Miller. Accelerating the tactical decision process with High-Performance Computing (HPC) on the edge : motivation, framework, and use cases. Engineer Research and Development Center (U.S.), settembre 2021. http://dx.doi.org/10.21079/11681/42169.

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Managing the ever-growing volume and velocity of data across the battlefield is a critical problem for warfighters. Solving this problem will require a fundamental change in how battlefield analyses are performed. A new approach to making decisions on the battlefield will eliminate data transport delays by moving the analytical capabilities closer to data sources. Decision cycles depend on the speed at which data can be captured and converted to actionable information for decision making. Real-time situational awareness is achieved by locating computational assets at the tactical edge. Accelerating the tactical decision process leverages capabilities in three technology areas: (1) High-Performance Computing (HPC), (2) Machine Learning (ML), and (3) Internet of Things (IoT). Exploiting these areas can reduce network traffic and shorten the time required to transform data into actionable information. Faster decision cycles may revolutionize battlefield operations. Presented is an overview of an artificial intelligence (AI) system design for near-real-time analytics in a tactical operational environment executing on co-located, mobile HPC hardware. The report contains the following sections, (1) an introduction describing motivation, background, and state of technology, (2) descriptions of tactical decision process leveraging HPC problem definition and use case, and (3) HPC tactical data analytics framework design enabling data to decisions.