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While the development of technology and internet infrastructure facilitates many aspects of daily life, it does so based on the processes and data running in the background. With the development of information and communication technology, changes and improvements in people's lives have also had a great impact on Intelligent Transportation Systems. Cloud Computing, which was developed for the storage of data that has been made descriptive of the virtual environment with a reference model setup as the first step. This model is aimed to facilitate the data storage, processing, and transfer process required for Intelligent Transportation Systems. In this study, a reference model on passenger occupancy rate, which is a passenger information system from Cloud Computing-based Intelligent Transportation System components, has been created, and this model has offered suggestions in the form of interface improvement for Sakarya Metropolitan Municipality transportation mobile application SAKUS. It is foreseen that these suggestions will have a great impact on the daily life of the passengers in planning their travels and in turning to alternative modes of transportation.
Every day we are witnessing the breakthrough of new technologies in all forms of passenger transport. The meaning of technology, future development, and application are based primarily on the finding of methods how to make life easier. Today's development of information and communication technologies is directed to wide population of users equipped with sophisticated terminal devices. The starting point has been guided by the idea that the implementation of new technologies should fulfil the users' requirements: what they want, where they want it and in the best possible way in which they want it. The research in this paper is directed to the problems of informing the passengers in the domain of bus transport. According to the ITS concepts an attempt is made to improve the fleet management systems, first of all through interactive participation of the drivers in the transport process, navigation of vehicles/drivers and telemetry (remote vehicle diagnostics). The precondition...
Literature review revealed application of various techniques for efficient use of existing resources in road transport sector vehicles, operators and related facilities. This issue assumes bigger dimensions in situations where there are multiple routes and the demand in the routes is highly fluctuating over the day. The application of the existing techniques as reported in literature addresses above issues to a considerable extent. However the main draw back in existing techniques is lack of proper uninterrupted information about vehicles and demand available at a central place for allocation of vehicles in different roads and huge computational times required for processing. Cloud computing is a recently developed processing tool that is used in effective utilization of resources in transport sector under dynamic resource allocation. Since the demand fluctuates at different times in different routes, mobile cloud computing techniques are being used to address the issues related to effective resource allocation. This paper attempts at, making a detailed study of application of mobile cloud computing techniques in transport sector for dynamic resource allocation and to identify the limitations there in, with a view to address the limitations. Creating identical clouds at various strategic points and mobile feeding of information to each cloud, creation of a central processing place called as traffic manager, releasing vehicle / driver allocation orders of the traffic manager etc, are some of the essential features of the proposed mobile cloud computing. Simulation studies are made by considering case studies and the results are compared with real time values. The proposed mobile cloud computing makes use of JRE processing. The required algorithms along with coding, flow diagram and the output are presented. It has been observed that the proposed mobile cloud computing processing offers uninterrupted service with minimum preprocessing, processing and post processing time. Further the proposed method can be used for handling large number of vehicles / routes with case and hence is more efficient than the existing methods of dynamic resource INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET) ISSN 0976 – 6340 (Print) ISSN 0976 – 6359 (Online) Volume 5, Issue 11, November (2014), pp. 17-25 © IAEME: www.iaeme.com/IJMET.asp Journal Impact Factor (2014): 7.5377 (Calculated by GISI) www.jifactor.com IJMET © I A E M E International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online), Volume 5, Issue 11, November (2014), pp. 17-25 © IAEME 18 allocation. The major contribution of present work is developing of a mobile cloud computing processor offering uninterrupted services with minimum processing time capable of handling large vehicles / driver facilities under severe demand fluctuating conditions.
IAEME Publications, 2021
At the modern society, one of the essential infrastructures is transportation. Performance of transportation systems is important for personal commuting, commerce and economic growth of all countries. Over the years, the modern society has faced increased traffic, increased fuel cost and increased rate of pollutants. According to the abovementioned, improvement of traffic management in urban transportation is an important issue. Development of sustainable intelligent transportation management system needs integration and the capability of cooperation with emerging technologies such as internet-connected vehicles, cloud computing and internet of things (IoT). In this study, architecture is proposed for integration of management of urban transportation traffic, which is sensitive to motion and is error-tolerable and scalable. Using simulation, the performance of this system is tested and the results are discussed.
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/building-an-intelligent-traffic-clouds-technology-in-urban-traffic-sector https://www.ijert.org/research/building-an-intelligent-traffic-clouds-technology-in-urban-traffic-sector-IJERTV3IS051197.pdf Transport issues such as mobility, accessibility and increased traffic congestion are acknowledged problems in many cities which is making every one to think quick changes in traffic process and procedures. This paper titled " Building an Intelligent Traffic Clouds Technology in Urban Traffic Sector " offers a user oriented approach to substantially increase the road throughput and improve its performance and also evaluates the history of progress of a traffic control and managing a system within the evolving computing paradigm and also shows the state of a traffic control and management systems based on the mobile multi agent technology. Here Intelligent Transportation clouds technology could provide services such as mobility, autonomy, decision support and a standard development environment for traffic stratergies[1]. Although with mobile agent technology, an urban traffic management system will be dependent on an Agent-Based Distributed and Adaptive Platforms for Transportation Systems(Adapts) is both realistic and effective. Use of large scale mobile agents will leads to an appearance of a complex, powerful organization which require large computing and power resources[1]. To handle such a problem we propose a framework urban traffic management system using an Intelligent Traffic Clouds.
2020
The paper mainly focuses onsmart cities where travellers travel in train using smart cards which contain user data. These cards produce enormous measure of information which can be utilized for examination and expectation. Foreseeing the consumers count and behavior who utilizes the railroad administrations are explained through the utilization of big data strategy. From the smart card, traveller name, age, time, source and destination stations are been analyzed to improve railway infrastructure. The data are gathered and stored using public cloud storage. Additionally, for information investigation, we use grouping and classification. This encourages the railway department to improve their currentframework and can facilitate customized services for travellers. KeywordsTraveller Usage Analysis, Railways, IoT, Smart City, R Programming, Cloud.
IJRCAR, 2013
Agent-based traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic environments. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to use traffic strategy agents and mass transport data effectively. This article reviews the history of the development of traffic control and management systems within the evolving computing paradigm and shows the state of traffic control and management systems based on mobile multi agent technology. Intelligent transportation clouds could provide services such as decision support, a standard development environment for traffic management strategies, and so on. With mobile agent technology, an urban-traffic management system based on Agent-Based Distributed and Adaptive Platforms for Transportation Systems (Adapts) is both feasible and effective. However, the large-scale use of mobile agents will lead to the emergence of a complex, powerful organization layer that requires enormous computing and power resources. To deal with this problem, we propose a prototype urban-traffic management system using intelligent traffic clouds. Local area networks (LANs) appeared to enable resource sharing and handle the increasingly complex requirements. One such LAN, the Ethernet, was invented in 1973 and has been widely used since. During the same period, urban-traffic-management systems took advantage of LAN technology to develop into a hierarchical model. Network communication enabled the layers to handle their own duties while cooperating with one another. In the following Internet era, users have been able to retrieve data from remote sites and process them locally, but this wasted a lot of precious network bandwidth. Agent based computing and mobile field. From multi agent systems and agent structure to ways of negotiating between agents to control agent strategies, all these fields have had varying degrees of success [2,3]. Now, the IT industry has ushered in the fifth computing paradigm: cloud computing. Based on the Internet, cloud computing provides on demand computing capacity to individuals and businesses in the form of heterogeneous and autonomous services. With cloud computing, users do not need to understand the details of the infrastructure in the “clouds;” they need only know what resources they need and how to obtain appropriate services, which shields the computational complexity of providing the required services. In recent years, the research and application of parallel transportation management systems (PtMS), which consists of artificial systems, computational experiments, and parallel execution, has become a hot spot in the traffic research field. Here, the term parallel describes the parallel interaction between an actual transportation system and one or more of its corresponding artificial or virtual counterparts.[4] Such complex systems make it difficult or even impossible to build accurate models and perform experiments, so PtMSs use artificial transportation systems (ATS) to compensate for this defect. Moreover, ATSs also help optimize and evaluate large amounts of traffic-control strategies. Cloud computing caters to the idea of “local simple, remote complex” in parallel traffic systems. Such systems can take advantage of cloud computing to organize computing experiments, test the performance of different traffic strategies, and so on. Thus, only the optimum traffic strategies will be used in urban-traffic control and management systems.
European Chemical Bulletin, 2023
the computation of traffic systems is more reliable nowadays. Traffic has become a vast and foremost criterion. As such people nowadays are having a car or a bike for their transportation. Transportation has become the predominant one and the buying of vehicles has made their lifestyle good and stable. It also shows their prejudice and their act of living. Thus every normal human being owns a car or a bike nowadays. This made an increase in pollution and even the traffic has increased much. Accidents are also a part of the traffic. The people cannot wait in the traffic for so long that they tend to move forward which leads to traffic accidents. This should be taken care of and the proposed system is making some devotional moves to take care of this hazardous situation. The immense traffic control system should be liable and payable by the government in the smart cities project. The smart city project will be having a great impact on the traffic management system. The great effect of the traffic management system is that it needs to be carried forward for the user and their convenience. The massive change in these systems made a great leap in the ecosystem and the production of these proposed models made the user enhance their features in their way. The control units in this proposed system helped the user to define their own rules for transportation and the wise control makes them useful in ranges. The cloud computing platform helps us to maintain data security and competence in the network arena. The main aim of the proposed system helps to maintain the data security of the transportation and the vehicles that pass by the area. The most important part of security lies in the combination of the computation technology used. The enhancement in the place and movement of the vehicle monitoring is enabled through the cloud computing platform. This helps the user to retrieve the data of their stolen vehicle which will be retrieved easily by the stored data sets of their vehicles. The easy identification through neural networks helps the passive Implementation of the Smart Traffic Management System through Cloud Computing
Journal of Transportation Technologies, 2013
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011
2018
Intelligent Transport System (ITS) is an information and communication technologies (ICT) that can be used to support smart mobility on a smart city. ITS is expected to be able to optimize the current public transport condition that has not been integrated through an ICT networks. In this paper is proposed a traffic management center (TMC) development used to monitor the fleet’s movement and soon will be developed to control the fleet’s movement. In this paper discusses from design to its performance of data communication protocol algorithm for communication between OBU cloud server as OBUs data collector and the TMC.
Memoria mudéjar en La Moraña (J. L. Gutiérrez Robledo, dir.), 2011
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DOAJ (DOAJ: Directory of Open Access Journals), 2008
Journal of Community Mental Health and Public Policy, 2021
Reconstrucción paleoecológica y paleoambiental de Tepexpan, 2024
arXiv (Cornell University), 2019
Journal of AOAC International, 2017
physica status solidi (c), 2010