Smart city logistics on cloud computing model sciencedirect. Computers, environment and urban systems is an interdisciplinary journal publishing cuttingedge and innovative computerbased research on urban systems, systems of cities, and built and natural. We especially focus on conceptual ideas for intelligent road transportation and explain how the proposed cloudbased system can be used for parallel and scalable computing supporting. Cloud computing applications in global logistics information system infrastructure 34 iaas is a platform through which businesses can avail itself with equipment in the form of hardware, servers, storage space, etc. Based on the internet, cloud computing provides on.
With mobile agent technology, an urbantraffic management system based on agentbased distributed and adaptive platforms for transportation systems adapts is both feasible and effective. Introduction mobile cloud computing mcc is an emerging paradigm where individual mobile devices can be both cloud users and service providers. Although many formal definitions have been proposed in both academia and industry, the one provided by u. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to effectively use of traffic strategy agents and mass transport data. With the development of cloud technologies we finally have the tools and the solutions needed to start planning and executing an efficient urban transportation. An agentbased optimization framework for mobilecloud. Cost savings companies can reduce their capital expenditures and use operational expenditures for increasing their computing capabilities. Adaptive and similarity based tradeoff algorithms in a pricetimeslotqos negotiation system to establish cloud slas. Ontologyenhanced agent based cloud service discovery. Computers, environment and urban systems journal elsevier. The cloud definition often is further expanded to include the use of mobile devices such as smart phones or tablets.
The conceptual framework of urban smart transport based on cloud and iot. This proposed agentbased computing and mobile agents were to handle this vexing problem. Cloud computing for agentbased urban transport structure. K cloud computing for agentbased urban transportation systems. The feasibility of using a cloud computing infrastructure for urban tra c control systems by colin lyons, b.
Amod dissertation presented to the university of dublin, trinity college in. Cloud computing for agentbased urban transportation. Niepodleg losci 164, warszawa 02 554, poland abstract city developing in the sustainable manner economically, ecologically and socially is the most competitive when it meets citizens demands. Parallel transportation management and control system and its. In this service model, cloud providers offer everything from physical or virtual machines to raw storage. Computers, environment and urban systems is an interdisciplinary journal publishing cuttingedge and innovative computerbased research on urban systems, systems of cities, and built and natural environments, that privileges the geospatial perspective. Intelligent transportation systems its use communications and new technology to. Opportunities and challenges of cloud computing to improve. A cloud service provider makes resources applications and storage available to the general public over the internet on a payasyougo basis. An overview of service models of cloud computing imran ashrafa adepartment of information technology, university of the punjab, gujranwala campus, pakistan accepted 15 aug 2014, available. Ontologyenhanced agentbased cloud service discovery. Agents meet traffic simulation, control and management ceur. Ogistics industry has constantly evolved according to increasing of the trade domestic and abroad. Agentbased traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic environments.
Agent based traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic environments. Amod dissertation presented to the university of dublin, trinity college in ful llment of the requirements for the degree of master of science in computer science university of dublin, trinity college september 2009. The advances in cloud computing and web of things iot have provided a promising chance to resolve the challenges caused by the increasing transportation problems. So it technology is essential to logistics industry to reduce cost and to improve the efficiency of logistics. Jun 25, 2012 cloud computing will help such systems address the massive amounts of storage and computing resources needed to use traffic strategy agents and mass transport data effectively. With mobile agent technology, an urban traffic management system based on agent based distributed and adaptive platforms for transportation systems adapts is both. Cloud computing at the us department of transportation. Cloud computing applications in global logistics information system infrastructure 34 iaas is a platform through which businesses can avail itself with equipment in the form of hardware, servers, storage. The use of a cloud approach will be enhanced by the new data strategy being implemented across the usdot.
Cloud computing is a model for enabling convenient, on. Adak and s s kale and sunayana liman and pooja sukre and long liu and jin xu and stehen shaoyi liao, year2004. Similarly, cloud computing, by its design and characteristics, is particularly interesting for the public sector aiming to reduce costs and improve flexibility in operations. May 24, 2019 this statistic illustrates a distribution of all enterprises in the uk transportation and storage industry in 2016 and 2018, by use of cloud computing service. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to use traffic. There is a term that is likely to generate some debate, because invariably the very concept of utilizing a public cloud for example within an environment that has historically not had any internet connectivity would appear to be a ridiculous suggestion. Cloud computing for agent based urban transportation system syed mohd moonis1. An agentbased optimization framework for mobilecloud computing angin, and bhargava figure 1. With mobile agent technology, an urbantraffic management system based on agentbased distributed and adaptive. Cloud computing for agentbased urban transportation systems. Iaas provides basic services, such as virtual servers, data storage, and databases into one platform for deploying and running your applications. Cloud computing concept for intelligent transportation systems.
Pdf agentbased traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic. To overcome the drawback of the previous agent based traffic management system we are proposing cloud computing for agentbased urban transportation system is the system that will provide the user all the recent traffic update whenever they request for update. Intelligent transport systems cloud computing big data model predictive. Wang, f agentbased control for networked traffic management systems. Cloud computing for agentbased urban transportation system. The answer to those challenges facilitating future smart city logistics development is interoperable it system usage based on cloud computing model. Trafficstrategy agent module the more typical traffic scenes used to test a trafficstrategy agent, the more detailed the learning about. Learn about the key concepts of infrastructure as a service iaas in this first of a threepart article series. Niepodleg losci 164, warszawa 02 554, poland abstract city developing in. International journal of cloud computing, inderscience accepted and to appear. Cloudbased intelligent transportation systems using model. Development of the integrated logistics information system.
Cloud computing will help such systems address the massive amounts of storage and computing resources needed to use traffic strategy agents and mass transport data effectively. Intelligence transportation system is a new kind of information, intelligence and socialization modern transportation system. There is a term that is likely to generate some debate, because invariably the very concept of utilizing a public cloud for example within an. Smart city logistics on cloud computing model katarzyna nowicka logistics department, warsaw school of economics, al.
Abstractintelligent transportation clouds could provide services such as autonomy, mobility, decision support and the standard development environment for traffic management strategies, and so on. Its goals are to increase road throughput and optimise the traffic control for increased safety of the participants. Cloud computing for agent based urban transportation systems. Agent based road traffic management in smart cities using. If you continue browsing the site, you agree to the use of cookies on this website. R2 1head of the department, department of computer application, dkm college for women autonomous, vellore. Agent based modeling has been used extensively in biology, including the analysis of the spread of epidemics, and the threat of biowarfare, biological applications including population dynamics, stochastic gene expression, plantanimal interactions, vegetation ecology, landscape diversity, the growth and decline of ancient civilizations, evolution of ethnocentric behavior, forced displacement. Cloud computing is a new technology which can solve many issues such as realtime problem of the urban traffic control system and enable the end users to access the required services on demand without worrying where they actually exist. 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.
Coming to the cloud computing architecture it is divided in to two sections one is front end and another one is back end usually these. Cloud computing is a shared data infrastructure method emerged in recent. Agentbased traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic. Cloud computing can help such systems cope with the large amounts of storage and computing resources. Introduction intelligent transportation system its is the utilization of information technology to enhance the transportation system. Agentis one of the powerful technologies distributedfor the development of distributed complex systems perform traffic1. Cloud computing applications in global logistics information. Cloud computing, the internet of things and maritime. Cloud computing for agentbased urban transportation systems to get this project in online or through training sessions. Elements within the transportation system such as vehicles, roads, traffic lights, and message signs, become smart devices. Sep 21, 2011 koufi et al described a cloud based prototype emergency medical system for the greek national health service integrating the emergency system with personal health record systems to provide physicians with easy and immediate access to patient data from anywhere and via almost any computing device while containing costs.
The journal provides a stimulating presentation of perspectives, research developments. Find straightforward, realworld examples of cloud computing to help eliminate the confusion around the concept. Cloud computing for agentbased traffic management systems. This statistic illustrates a distribution of all enterprises in the uk transportation and storage industry in 2016 and 2018, by use of cloud computing service. Cloud based intelligent transport system sciencedirect. The fhwa intends to make significant use of cloud computing for big data storage and processing. Agent based urban traffic and transportation control with. Introduction and respond in a timely fashion to agent based computing changes.
Iaas provides basic services, such as virtual servers, data storage, and databases into one platform for. Pdf cloud computing for agentbased urban transportation. A new cloud computing intelligent transportation system. May, 20 cloud computing for agent based urban transportation systems to get this project in online or through training sessions contact. Only requiring a runtime environment, mobile agents can run computations near data to improve the. Cloud computing is a new technology which can solve many issues such as realtime problem of the urban traffic control system and enable the end users to. In this paper a cloud computing based urban traffic control system is proposed. Its goals are to increase road throughput and optimise the traffic control for increased safety of the participants, reduced fuel consumption and carbon emissions. Cloud computing, logistics information system, transportation management system, traveling salesman problem i. Cloud computing for agent based urban transport structure mrs. Cloud computing is a new technology which can solve many issues such as realtime problem of the urban traffic control system and enable the end users to access the required services on demand. Video capture service in the intelligent transportation. Cloud computing for agent based urban transportation. An agentbased model abm is a class of computational models for simulating the actions and interactions of autonomous agents both individual or collective entities such as organizations or.
Cloud computing for critical infrastructure a dumb idea. Cloud computing for agentbased urban transportation systems abstract. An agentbased optimization framework for mobilecloud computing. This proposed agent based computing and mobile agents were to handle this vexing problem. Urban transportation systems are typical complex systems, and how to utilize the. Only requiring a runtime environment, mobile agents can run computations near data to improve the performance by reducing communication time and cost 12. Keywords agent, cloud computing, urban transportation. Global transportation executive july 2016 cloud computing, the internet of things and. Ogistics industry has constantly evolved according to increasing of the. Applications of cloud calculation in the intelligence. To overcome the drawback of the previous agent based traffic management system we are proposing cloud computing for agentbased urban transportation system is the system that will provide the. Its goals are to increase road throughput and optimise the. Cloud computing is a shared data infrastructure method emerged in recent years, which is able to combine the large procedure pool and the data pool to provide a variety of it application services. An agent based optimization framework for mobile cloud computing angin, and bhargava figure 1.
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