Literatura académica sobre el tema "Zone Planning Problem"
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Artículos de revistas sobre el tema "Zone Planning Problem"
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Galligari, Alessandro, Mirko Maischberger, and Fabio Schoen. "Local search heuristics for the zone planning problem." Optimization Letters 11, no. 1 (2016): 195–207. http://dx.doi.org/10.1007/s11590-016-1069-6.
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Sah, Ram Uday, and Shree Ram Khadka. "Earliest Arrival Evacuation Planning: Two-Terminal Case." Journal of Advanced College of Engineering and Management 2 (November 29, 2016): 57. http://dx.doi.org/10.3126/jacem.v2i0.16104.
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<p>Evacuation planning problem can be considered as a dynamic flow problem on the dynamic network. In a dangerous situation, as many individuals as possible should be rescued from a dangerous zone to a safety zone as quickly and efficiently as possible. The earliest arrival flow problem is to send a maximal amount of dynamic flow reaching the safety zone sink not only for the given time horizon, but also for any earlier moment of the time horizon. In this paper we discuss the optimization formulation of the earliest arrival evacuation planning problem with efficient solution procedure.</p><p><strong>Journal of Advanced College of Engineering and Management,</strong> Vol. 2, 2016, page: 57-62</p>
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Adhikari, Iswar Mani, and Tanka Nath Dhamala. "On the Transit-Based Evacuation Strategies in an Integrated Network Topology." Nepali Mathematical Sciences Report 37, no. 1-2 (2020): 1–13. http://dx.doi.org/10.3126/nmsr.v37i1-2.34063.
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Evacuation planning problem deals with sending the maximum number of evacuees from the danger zone to the safe zone in minimum time as eciently as possible. The dynamic network flow models for various evacuation network topology have been found suitable for the solution of such a problem. Bus based evacuation planning problem (BEPP), as an important variant of the vehicle routing problem (VRP), is one of the emerging evacuation planning problems. In this work, an organized overview of this problem with a focus on their solution status is compactly presented. Arrival patterns of the evacuees including their transshipments at different pickup locations and their assignments are presented. Finally, a BEPP model and a solution for a special network are also proposed.
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Adhikari, Iswar Mani, and Tanka Nath Dhamala. "On the Transit-Based Evacuation Strategies in an Integrated Network Topology." Nepali Mathematical Sciences Report 37, no. 1-2 (2020): 1–13. http://dx.doi.org/10.3126/nmsr.v37i1-2.34063.
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Evacuation planning problem deals with sending the maximum number of evacuees from the danger zone to the safe zone in minimum time as eciently as possible. The dynamic network flow models for various evacuation network topology have been found suitable for the solution of such a problem. Bus based evacuation planning problem (BEPP), as an important variant of the vehicle routing problem (VRP), is one of the emerging evacuation planning problems. In this work, an organized overview of this problem with a focus on their solution status is compactly presented. Arrival patterns of the evacuees including their transshipments at different pickup locations and their assignments are presented. Finally, a BEPP model and a solution for a special network are also proposed.
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Khaleefah, N., and W. S. Alwan. "Green Zone Planning for City Sustainability." IOP Conference Series: Earth and Environmental Science 961, no. 1 (2022): 012075. http://dx.doi.org/10.1088/1755-1315/961/1/012075.
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Abstract : The importance of research has emerged by focusing on sustainable green zone planning to solve the problem of degradation through sustainable strategies, to make green areas determine buildings, not the other way around using GIS, by working on a hypothesis (green areas planning according to an appropriate strategy can sustain cities). The principle of urban planning, urban sustainability, sustainable planning and sustainable cities, as well as urban sustainability and many strategies that support green zone planning and rely on a number of factors for sustainable cities, have been addressed. The research was based on how to plan green areas sustainably, what constraints the planners face in the Dora area south of Baghdad, and the reasons for their deterioration in the urban environment, and after analysing and comparing the changes that occurred over three periods of time (2004 and 2009 and 2019) for 10 residential stores to assess the state of the green areas during that period and how they changed, what problems led to the reduction of areas, increased areas built at their expense, compared to the standards of urban and rural housing in Iraq and the basic plan of the company Paul Servis in 1971, Sustainable planning thus creates a balance in the environment, economy and social values so that these new places meet the work and life needs of the local population and their interests, as one of the indicators of sustainable cities environmental, social and economic, measured by the availability of green and preserved areas relative to population density and coverage, which are one of the most important components of the blocs of urban areas to continue the quality of urban life and environmental and social sustainability, and the ratio of green areas to areas built in a sample of the shop Housing in the study area is very few in most stores and is not in line with international standards, so the current standards need to be adjusted and increased from what they are now, as well as laws in general need to be updated because they are in their current state to achieve the sustainability of green areas in the study area. The most important proposals and solutions that address the problems of green areas (developing a specific strategy, developing some laws on the protection of green areas and setting environmental performance standards for green areas). The research recommended the need to review the planning standard for the individual’s share of green spaces as it does not correspond to the increase in population density, and to guide the pursuit of sustainable strategies within the plans prepared by the long-term municipal departments supporting green areas and work to support environmental performance within municipal circles by presenting the award for outstanding environmental performance on conservation capacity and increasing green spaces, urging a focus on the sustainability of Iraqi cities as they suffer from increased desertification and dredging of green areas and current climate change.
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Hartama, Dedy, Herman Mawengkang, Muhammad Zarlis, and Rahmad Widia Sembiring. "Model of emergence evacuation route planning with contra flow and zone scheduling in disaster evacuation." Computer Science and Information Technologies 2, no. 1 (2021): 1–10. http://dx.doi.org/10.11591/csit.v2i1.p1-10.
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Evacuation is characterized by rapid movement of people in unsafe locations or disaster sites to safer locations. The traffic management strategy for commonly used evacuations is the use of Shoulder-Lane, contraflowing traffic and gradual evacuation. Contra-flow has been commonly used in traffic management by changing traffic lanes during peak hours. To implement the contra-flow operation, there are two main problems that must be decided, namely Optimal Contraflow Lane Configuration Problem (OCLCP) and Optimal Contraflow Scheduling. Within the OCSP there are two approaches that can be used: zone scheduling and flow scheduling. Problem of Contra Flow and Zone Scheduling Problem is basically an Emergence Evacuation Route Planning (EERP) issue. This research will discuss EERP with ContraFlow and Zone Scheduling which can guarantee the movement of people in disaster area to safe area in emergency situation.
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Gao, Yang, Da Wei Hu, Lai Jun Wang, and Jing Shuai Yang. "An Entry Point Based Local Path Planning for Mobile Robot with Blind Zone." Applied Mechanics and Materials 373-375 (August 2013): 197–200. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.197.
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Path planning for mobile robot with blind zone is a difficult and practical problem. To decrease the influence of blind zone. The path planning approach in this paper has introduced entry point to represent the free road which may guide the robot to find the gaps between obstacles. By estimating the entry point in blind zone and estimating the probability it exist there using uncented kalman filter, the historical sensor information is used. All entry points are then evaluated using a evaluate function. So that both the current sensor information and the historical sensor information are used. Compared with the traditional local path planning approaches, this approach avoid the trap problem and the hover problem came with the blind zone. Simulation has proved the effect.
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Gu, Yueqi, Orhun Aydin, and Jacqueline Sosa. "Quantifying the Impact of a Tsunami on Data-Driven Earthquake Relief Zone Planning in Los Angeles County via Multivariate Spatial Optimization." Geosciences 11, no. 2 (2021): 99. http://dx.doi.org/10.3390/geosciences11020099.
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Post-earthquake relief zone planning is a multidisciplinary optimization problem, which required delineating zones that seek to minimize the loss of life and property. In this study, we offer an end-to-end workflow to define relief zone suitability and equitable relief service zones for Los Angeles (LA) County. In particular, we address the impact of a tsunami in the study due to LA’s high spatial complexities in terms of clustering of population along the coastline, and a complicated inland fault system. We design data-driven earthquake relief zones with a wide variety of inputs, including geological features, population, and public safety. Data-driven zones were generated by solving the p-median problem with the Teitz–Bart algorithm without any a priori knowledge of optimal relief zones. We define the metrics to determine the optimal number of relief zones as a part of the proposed workflow. Finally, we measure the impacts of a tsunami in LA County by comparing data-driven relief zone maps for a case with a tsunami and a case without a tsunami. Our results show that the impact of the tsunami on the relief zones can extend up to 160 km inland from the study area.
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Bhandari, Phanindra Prasad, and Shree Ram Khadka. "Maximum Flow Evacuation Planning Problem with Non-Conservation Flow Constraint." International Annals of Science 10, no. 1 (2020): 25–32. http://dx.doi.org/10.21467/ias.10.1.25-32.
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The optimization model of the maximum flow evacuation planning problem efficiently sends a maximum number of evacuees along with the routes of their transshipment from the disastrous zone, the source, to the safe zone, the sink, over a given time horizon. The limitation of the problem with the flow conservation constraint at the intermediate nodes is that even one more evacuee cannot be sent out from the source, if the evacuee cannot reach the sink. However, evacuators must attempt to send out as many evacuees as possible to safer places despite the sink. There may be relatively safe places in between the source and the sink. The limitation is due to the flow conservation constraint. In this paper, we remodel the problem with non-conservation flow constraint and propose an efficient algorithm. With this approach one can send as many evacuees as in the flow conservation case from the source to the sink. Moreover, a maximum number of evacuees can also be sent to the relatively safe places in between the source and the sink. The routes of their transshipment can also be identified.
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Bella, Salima, Assia Belbachir, and Ghalem Belalem. "A hybrid air-sea cooperative approach combined with a swarm trajectory planning method." Paladyn, Journal of Behavioral Robotics 11, no. 1 (2020): 118–39. http://dx.doi.org/10.1515/pjbr-2020-0006.
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AbstractThis work addresses the issue of ocean monitoring and clean-up of polluted zones, as well as the notion of trajectory planning and fault tolerance for semi-autonomous unmanned vehicles. A hybrid approach for unmanned aerial vehicles (UAVs) is introduced to monitor the ocean region and cooperate with swarm of unmanned surface vehicles (USVs) to clean dirty zones. The paper proposes two solutions that apply to trajectory planning from the base of life to the dirty zone for swarm USVs. The first solution is performed by a modified Genetic Algorithm (GA), and the second uses a modified Ant Algorithm (AA). The proposed solutions were both implemented in the simulation with different scenarios for the dirty zone. This approach detects and reduces the pollution level in ocean zones while taking into account the problem of fault tolerance related to unmanned cleaning vehicles.
Tesis sobre el tema "Zone Planning Problem"
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Brasil, Amíria Bezerra. "A ineficácia das ZEIS: um problema de legislação ou uma questão politíco-social? O caso de Fortaleza." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/16/16137/tde-01092016-162034/.
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A tese busca analisar a eficácia das Zonas Especiais de Interesse Social (ZEIS), a partir do caso de Fortaleza, avaliando os motivos do não cumprimento de seus objetivos principais, se há problemas de legislação, ou falta de legislação, ou se há outras questões que impedem a efetivação do que estabelece a lei. As Zonas Especiais de Interesse Social (ZEIS) foram regulamentadas no Brasil em 2001, com a aprovação do Estatuto da Cidade, para assegurar o Direito à Cidade e o cumprimento da função social da propriedade. Elas deveriam garantir a permanência dos assentamentos precários no lugar de origem, promovendo regularização fundiária e urbanização, e reservar espaços na cidade, bem localizados, para a construção de novas habitações de interesse social. Os assentamentos precários se consolidaram no Brasil, pois a produção do espaço urbano desse país ocorreu de modo desigual durante todo o século XX, gerando localizações heterogêneas e valorizando-as mais em determinadas áreas da cidade do que em outras. Esse processo acentuou a exclusão de grande parcela da população de partes do espaço urbano, favorecendo a irregularidade urbana. Os principais motivos desse processo são a propriedade privada da terra e seu alto preço, não acessível à maior parte da população brasileira, bem como a legislação urbana, que ao longo de todo o século XX não considerou a realidade que se formava e, consequentemente, contribuiu para que a maior parte das cidades permanecesse na ilegalidade. Esse contexto só sofreu alterações a partir do final daquele século e principalmente após 2001, com a aprovação do Estatuto da Cidade, que possibilitou ao Estado intervir nessas relações. As ZEIS são um importante instrumento urbanístico, pois além de promoverem a regularização fundiária permitem o desenvolvimento de parâmetros e índices específicos para cada assentamento, considerando suas realidades e proporcionando urbanização a partir de suas reais condições. Contudo, devido à natureza patrimonialista do Estado brasileiro as ZEIS têm sido ineficazes, não cumprindo os objetivos a que se propõem. O confronto entre esse instrumento e os interesses neoliberais de uma parte da população tem feito com que ele não seja implementado. Dessa forma, a tese da ineficácia das ZEIS é defendida neste trabalho a partir da hipótese que a produção do espaço urbano no Brasil, após o Estatuto da Cidade, têm permanecido com lógica semelhante àquela desenvolvida no século XX, produzindo localizações desiguais e com valorizações desequilibradas, consequentemente as ZEIS têm servido mais como instrumento ideológico do que como efetivação do Direito à Cidade, conforme podemos observar em Fortaleza.<br>This thesis intends to analyze the effectiveness of \"Special Zones of Social Interest\" (ZEIS), from the case study of Fortaleza, evaluating the reasons why these legal instruments do not meet the desired objectives. We try to answer if there are problems in the legislation, or the lack of it, or if there are any other questions that may prevent the enforcement of the law. The ZEIS were regulated in Brazil in 2001, with the promulgation of the \"Estatuto da Cidade\" (the City Statute), to guarantee the \"Right to the City\" and the enforcement of the social function of the private property. They should guarantee the permanence of precarious settlements on their original sites, therefore promoting the legality of land tenure and urbanization. Moreover, it should also serve to reserve well-localized urban space for the construction of new social housing. The precarious settlements were consolidates in Brazil since the production of its urban space happened during the 20th century in a very unbalanced way. It generated heterogeneous locations, rising the value of certain land while decreasing others. This valuation process stressed the exclusion of a great portion of the population from certain locations, therefore, promoting illegal urban development. The main reasons for this process are, the private property of the land and its high price, inaccessible to the majority of the Brazilian population, as well as the urban legislation, which during the 20th century, did not take into consideration the pressing reality, and consequently, contributed for most of the Brazilian cities to remain in illegality. This context only suffered any changes from the end of the last century, especially after 2001, with the announcement of the City Statute, which allowed the public sector to intervene in these relations. The ZEIS are an important legal instrument, which, besides the promotion of legal land tenure, also promotes the development of urban parameters that are applicable specifically to each settlement, taking into consideration its reality, and allowing the urbanization of such areas incorporation its positive present conditions. However, due to the patrimonial nature of Brazilian state, the ZEIS turned out to be ineffective, unable to comply with its primary objectives. The conflict between the ZEIS and the neo-liberal interests of a certain portion of the population prevent the implementation of such legal instrument. This way, we defend the theory that ZEIS are ineffective from the hypothesis that the production of Brazilian urban space, after the City Statute, maintained the prevailing logic of the 20th century, promoting unequal locations and unbalanced land values. For this reason, the ZEIS has served more as an ideological instrument, rather than as the effectuation of the \"Right to the City\", as we may observe in Fortaleza.
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Bono, Guillaume. "Deep multi-agent reinforcement learning for dynamic and stochastic vehicle routing problems." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI096.
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La planification de tournées de véhicules dans des environnements urbains denses est un problème difficile qui nécessite des solutions robustes et flexibles. Les approches existantes pour résoudre ces problèmes de planification de tournées dynamiques et stochastiques (DS-VRPs) sont souvent basés sur les mêmes heuristiques utilisées dans le cas statique et déterministe, en figeant le problème à chaque fois que la situation évolue. Au lieu de cela, nous proposons dans cette thèse d’étudier l’application de méthodes d’apprentissage par renforcement multi-agent (MARL) aux DS-VRPs en s’appuyant sur des réseaux de neurones profonds (DNNs). Plus précisément, nous avons d’abord contribuer à étendre les méthodes basées sur le gradient de la politique (PG) aux cadres des processus de décision de Markov (MDPs) partiellement observables et décentralisés (Dec-POMDPs). Nous avons ensuite proposé un nouveau modèle de décision séquentiel en relâchant la contrainte d’observabilité partielle que nous avons baptisé MDP multi-agent séquentiel (sMMDP). Ce modèle permet de décrire plus naturellement les DS-VRPs, dans lesquels les véhicules prennent la décision de servir leurs prochains clients à l’issu de leurs précédents services, sans avoir à attendre les autres. Pour représenter nos solutions, des politiques stochastiques fournissant aux véhicules des règles de décisions, nous avons développé une architecture de DNN basée sur des mécanismes d’attention (MARDAM). Nous avons évalué MARDAM sur un ensemble de bancs de test artificiels qui nous ont permis de valider la qualité des solutions obtenues, la robustesse et la flexibilité de notre approche dans un contexte dynamique et stochastique, ainsi que sa capacité à généraliser à toute une classe de problèmes sans avoir à être ré-entraînée. Nous avons également développé un banc de test plus réaliste à base d’une simulation micro-traffic, et présenté une preuve de concept de l’applicabilité de MARDAM face à une variété de situations différentes<br>Routing delivery vehicles in dynamic and uncertain environments like dense city centers is a challenging task, which requires robustness and flexibility. Such logistic problems are usually formalized as Dynamic and Stochastic Vehicle Routing Problems (DS-VRPs) with a variety of additional operational constraints, such as Capacitated vehicles or Time Windows (DS-CVRPTWs). Main heuristic approaches to dynamic and stochastic problems simply consist in restarting the optimization process on a frozen (static and deterministic) version of the problem given the new information. Instead, Reinforcement Learning (RL) offers models such as Markov Decision Processes (MDPs) which naturally describe the evolution of stochastic and dynamic systems. Their application to more complex problems has been facilitated by recent progresses in Deep Neural Networks, which can learn to represent a large class of functions in high dimensional spaces to approximate solutions with high performances. Finding a compact and sufficiently expressive state representation is the key challenge in applying RL to VRPs. Recent work exploring this novel approach demonstrated the capabilities of Attention Mechanisms to represent sets of customers and learn policies generalizing to different configurations of customers. However, all existing work using DNNs reframe the VRP as a single-vehicle problem and cannot provide online decision rules for a fleet of vehicles.In this thesis, we study how to apply Deep RL methods to rich DS-VRPs as multi-agent systems. We first explore the class of policy-based approaches in Multi-Agent RL and Actor-Critic methods for Decentralized, Partially Observable MDPs in the Centralized Training for Decentralized Control (CTDC) paradigm. To address DS-VRPs, we then introduce a new sequential multi-agent model we call sMMDP. This fully observable model is designed to capture the fact that consequences of decisions can be predicted in isolation. Afterwards, we use it to model a rich DS-VRP and propose a new modular policy network to represent the state of the customers and the vehicles in this new model, called MARDAM. It provides online decision rules adapted to the information contained in the state and takes advantage of the structural properties of the model. Finally, we develop a set of artificial benchmarks to evaluate the flexibility, the robustness and the generalization capabilities of MARDAM. We report promising results in the dynamic and stochastic case, which demonstrate the capacity of MARDAM to address varying scenarios with no re-optimization, adapting to new customers and unexpected delays caused by stochastic travel times. We also implement an additional benchmark based on micro-traffic simulation to better capture the dynamics of a real city and its road infrastructures. We report preliminary results as a proof of concept that MARDAM can learn to represent different scenarios, handle varying traffic conditions, and customers configurations
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Galligari, Alessandro. "Optimization algorithms for network equilibrium problems and transportation planning problems." Doctoral thesis, 2018. http://hdl.handle.net/2158/1120511.
Texto completoLibros sobre el tema "Zone Planning Problem"
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Adriano, Paolella, ed. Acqua piano progetto: Temi e problemi nella gestione del sistema delle acque. L.Pellegrini, 1994.
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I, Bogachev V., and Instytut ekonomiky promyslovosti (Nat͡s︡ionalʹna akademii͡a︡ nauk Ukraïny), eds. Stanovlenie rynochnykh otnosheniĭ v regionakh: Problemy i opyt : sbornik nauchnykh trudov. IĖP NAN Ukrainy, 1994.
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Office, General Accounting. Nuclear waste: Department of Energy's project to clean up Pit 9 at Idaho Falls is experiencing problems : report to the Committee on Commerce, House of Representatives. The Office, 1997.
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Office, General Accounting. Nuclear waste: Problems and delays with characterizing Hanford's single-shell tank waste : report to the chairman, Environment, Energy, and Natural Resources Subcommittee, Committee on Government Operations, House of Representatives. GAO, 1991.
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Sang-in, Chŏn, ред. Hanʼguk hyŏndaesa: Chinsil kwa haesŏk. Nanam Chʻulpʻan, 2005.
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Mbow, Cheikh. The Great Green Wall in the Sahel. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.559.
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For several decades, the Sahelian countries have been facing continuing rainfall shortages, which, coupled with anthropogenic factors, have severely disrupted the great ecological balance, leading the area in an inexorable process of desertification and land degradation. The Sahel faces a persistent problem of climate change with high rainfall variability and frequent droughts, and this is one of the major drivers of population’s vulnerability in the region. Communities struggle against severe land degradation processes and live in an unprecedented loss of productivity that hampers their livelihoods and puts them among the populations in the world that are the most vulnerable to climatic change. In response to severe land degradation, 11 countries of the Sahel agreed to work together to address the policy, investment, and institutional barriers to establishing a land-restoration program that addresses climate change and land degradation. The program is called the Pan-Africa Initiative for the Great Green Wall (GGW). The initiative aims at helping to halt desertification and land degradation in the Sahelian zone, improving the lives and livelihoods of smallholder farmers and pastoralists in the area and helping its populations to develop effective adaptation strategies and responses through the use of tree-based development programs. To make the GGW initiative successful, member countries have established a coordinated and integrated effort from the government level to local scales and engaged with many stakeholders. Planning, decision-making, and actions on the ground is guided by participation and engagement, informed by policy-relevant knowledge to address the set of scalable land-restoration practices, and address drivers of land use change in various human-environmental contexts. In many countries, activities specific to achieving the GGW objectives have been initiated in the last five years.
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Nuclear waste: Department of Energy's project to clean up Pit 9 at Idaho Falls is experiencing problems : report to the Committee on Commerce, House of Representatives. The Office, 1997.
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Nuclear waste: Department of Energy's project to clean up Pit 9 at Idaho Falls is experiencing problems : report to the Committee on Commerce, House of Representatives. The Office, 1997.
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Nuclear waste: Problems and delays with characterizing Hanford's single-shell tank waste : report to the Chairman, Environment, Energy, and Natural Resources Subcommittee, Committee on Government Operations, House of Representatives. The Office, 1991.
Buscar texto completoCapítulos de libros sobre el tema "Zone Planning Problem"
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Herman, Rebecca. "The Specter of Guantanamo." In Cooperating with the Colossus. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780197531860.003.0002.
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Abstract This chapter surveys the problem of US basing in the Western Hemisphere in World War II from the perspectives of its various constituents. The United States’ existing military footprint on sovereign soil in Latin America when the war began consisted of the Guantanamo Naval Base situated in southeastern Cuba and various installations inside the Panama Canal Zone. As holdovers from the heyday of early twentieth-century US interventionism and hence lightning rods for anti-US sentiment, these spaces haunted wartime efforts to acquire defense installations in a purportedly new era in inter-American affairs.As US officials reimagined national security as a hemispheric undertaking, they had to confront the fact that two central objectives of US defense planning in the region on the eve of war – basing and goodwill – seemed to run at cross purposes.
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Martínez Hernández, Javier. "La alteración del paisaje cultural de la zona arqueológica de Cholula y la estructura territorial social-religiosa como elemento potencial de conservación." In Paisajes patrimoniales. Resiliencia, resistencia y metrópoli en América Latina. Universidad Autónoma Metropolitana (México). Unidad Azcapotzalco. División de Ciencias y Artes para el Diseño. Departamento del Medio Ambiente. Área de Investigación Arquitectura del Paisaje., 2020. http://dx.doi.org/10.24275/uama.5821.7596.
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From the construction of projects with economic-tourist purposes in areas with archaeological value, in recent years various alterations have arisen to the cultural landscape of the pre-Hispanic area of Cholula, in the Metropolitan Area of Puebla Tlaxcala, a site full of history, traditions and culture. This has become not only a problem of territorial and landscape order, but also a phenomenon that is viewed with great displeasure on the part of the inhabitants of this area, causing popular discontent that seeks to be reversed or minimized through the intervention of social actors. Individual and collective grouped in a long-standing social-religious structure. Through the landscape analysis of the area through its own methodology, the alterations arising from the construction of these tourist projects have been detected, analyzed and evidenced, and at the same time, this method has been used as a tool to prevent new initiatives continue to have a negative impact. With the creation of this analysis methodology and guidelines for the care and preservation of the cultural landscape of the archaeological zone of Cholula, it is intended to prevent future projects from altering the landscape environment of the immediate area of the pyramid, taking into account the opinion of the population in the planning of new projects.
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Bella, Salima, Assia Belbachir, and Ghalem Belalem. "A Centralized Autonomous System of Cooperation for UAVs- Monitoring and USVs- Cleaning." In Unmanned Aerial Vehicles. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8365-3.ch015.
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This article proposes an approach which deals with the problem of monitoring ocean pollution and cleaning dirty zones using autonomous unmanned vehicles. The authors present a cooperative agent-based planning approach for heterogeneous unmanned vehicles with different roles. Unmanned aerial vehicles (UAVs) monitor multiple ocean regions and unmanned surface vehicles (USVs) tackle the cleaning of dirty zones. Due to the rapid deployment of these unmanned vehicles, and the increase of ocean pollution, it is convenient to use a fleet of unmanned vehicles. Thus, most of the existing studies deal with the monitoring of different zones, the detection of the polluted zones and then the cleaning of the zones. In order to optimize this process, the authors' solution aims to use one UAV and one USV to reduce the pollution level of the ocean zones while taking into account the problem of fault tolerance related to these vehicles.
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Guo, Jingbo, Côme Bissuel, and Francois Courtot. "Integrated Urban Energy Planning: A Case-Study Using Optimization." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210268.
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This article describes an integrated energy planning optimization case-study. Starting from an integrated urban energy planning practice based on the urban planning information, an optimization approach is implemented to support decisions on suitable energy structures. Based on a use-case, energy demand, renewable energy resources, energy policy and energy prices are analyzed and set as inputs of the optimization. The results are energy structures minimizing the cost for two separated zones. Meanwhile, under different scenarios, in terms of renewable ratio targets and thermal storage, comparison is made for illustrating economy differences. The optimization mentioned in the article is modelled as a Mixed-Integer Linear Programming problem, which can search the optimal solution with high efficiency among the possible system designs.
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Khan, Shereen Yunus. "Sustainable Rural Development." In Practice, Progress, and Proficiency in Sustainability. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7158-2.ch017.
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Sustainable development on social, economic, and ecological dimensions explores the approaches embracing the wellbeing for the rural communities. The chapter initiated with the description of sustainability by providing its comprehensive dimensions, proceeds to development by explaining the essential steps of development process as analysis, requirements, planning, implementation, and evaluation. After in-depth interpretation of sustainability and development, the chapter focused its discussion on sustainable rural development by emphasizing the demarcation of rural communities, their distinctive features and portrayal of needs confronted by rural communities, the core values and importance of sustainable rural development for the general awareness and setting grounds for policy makers. Rural zones are subject to socioeconomic problems. To lead human existence towards prosperity and progression depiction of UN established 17 sustainable development goals known as global goals are undertaken. Measures of sustainable rural development reviewed to recommend new strategies.
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Liu, Jiaming. "Tourism Revitalization of Historic District in Perspective of Tourist Experience." In Global Hospitality and Tourism Management Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-041-5.ch010.
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Presently, similar development mode and analogical tourist experience as two key problems have appeared to tourism development in domestic historic districts. This chapter discusses the new thought of tourism revitalization in historic districts in the perspective of tourist experience. Firstly, based on the deep analysis of tourist experience’s essential elements in historic districts, 6E experience mode is established to summarize the tourist experience, which includes Estheticism and nostalgia, Education and culture, Entertainment and leisure, Exchange and communication and Emotion sublimation. Meanwhile, how to build up and enhance every single experience of 6E model in tourism revitalization of historic district is also explained. Secondly, the application of 6E model is demonstrated elaborately in the case of Conceptual Planning of Tourism Development in San-Fang Qi-Xiang Historic District in Fuzhou City. Considering the hierarchy and comprehensibility of tourist experience and combined with site environment analysis, San-Fang Qi-Xiang historic district is divided into four function divisions: Nanhou old street mall, Warmth and leisure lane, Antai water-front zone and Residential blocks for minority customization. The four divisions are distinguished by degrees of bustling and tranquility as well as the hierarchy of experience. This chapter concludes that it is beneficial to utilize 6E model to segment function division and plan products in tourism revitalization of historic districts, because it helps to revitalize and create a fresh appearance with historical continuation in cultural, social and economic aspects. Therefore, it is perceived as a sustainable thought of development.
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van Eeten, Michel J. G., and Emery Roe. "The Paradox Resolved: A Different Case Study and the Argument Summarized." In Ecology, Engineering, and Management. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195139686.003.0010.
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From the outset, the book’s chief policy question has resolved around the problem of how to manage. As this was addressed in the preceding chapters, a new question arises: what are the implications for policies governing the meeting of the twofold management goal of restoring ecosystems while maintaining service reliability? This chapter provides our answer to that question by means of a new case study. It sums up the book’s argument and recasts ecosystem management and policy for ecologists, engineers, and other stakeholders. The best way to draw out the policy-relevant ramifications of our framework and the preceding management insights is to apply them to a different ecosystem. The case-study approach has served us well in contextualizing management recommendations without, we believe, compromising their more general application to ecosystem management. Our analysis of the major land-use planning controversy in the Netherlands underscores the wider applicability of this book’s arguments for both management and policy. What follows is put more briefly because it builds on the analysis of and recommendations for the Columbia River Basin, San Francisco Bay-Delta, and the Everglades. Why the Netherlands? There are human-dominated ecosystems substantially different from those found in the United States, many of which are more densely populated. They have nothing remotely like “wilderness,” but instead long histories of constructing and managing “nature.” The Netherlands is one such landscape. Not only is the landscape different, it is also important to note that the context for ecosystem management is set by different political, social, and cultural values. Sustainability is a much more dominant value in the European context than currently in the United States. Case-by-case management, while also appropriate for zones of conflict outside the United States, now has to deal with the fact that there is a tension between its call for case-specific indicators and the use of more general sustainability indicators in Europe. In die Netherlands, for example, sustainable housing projects are designed and assessed not only in terms of specific indicators but also in light of the “factor 20 increase in environmental efficiency” needed to achieve sustainability.
Actas de conferencias sobre el tema "Zone Planning Problem"
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Trček, Luka, Darja Šemrov, and Irena Strnad. "Motorway work zones capacity estimation using field data from Slovenia." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1078.
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Work zones represent typical bottlenecks on motorway sections. Due to aging of Slovenian motorway network, roadworks and the corresponding delays are becoming a major issue. While the majority of roadworks is planned, it is not straightforward to predict the delays they will cause even with a good prediction of the traffic volumes. The problem is to determine the work zone capacity, which is affected by several work zone characteristics, road elements and traffic structure. Besides, the stochastic nature of capacity cannot be ignored, since the same traffic values can result in different traffic conditions. This paper presents work zone capacity estimation based on the data of the recent work zones on Slovenian motorways. We collected data of various short- and long-term work zones that were recently present on Slovenian motorway network. We have studied the effect of heavy vehicles, longitudinal grade, crossovers and lane narrowing on the work zone capacity. Two statistical methods were applied to study those factors, namely regression analysis and survival analysis combined with maximum likelihood method. For each work zone type we have estimated the Weibull cumulative distribution function of capacity and queue discharge rate. The estimated capacity can provide an estimate of breakdown probabilities, delays and levels of service of motorway sections in work zones and as such it provides a useful tool in planning maintenance of the motorway network.
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Nesmachnow, S., C. Paz, J. Toutouh, and A. Tchernykh. "Multiobjective evolutionary flight planning of autonomous unmanned aerial vehicles for exploration and surveillance." In 1st International Workshop on Advanced Information and Computation Technologies and Systems 2020. Crossref, 2021. http://dx.doi.org/10.47350/aicts.2020.13.
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This article presents a multiobjective evolutionary approach for computing flight plans for a fleet of unmanned aerial vehicles to perform exploration and surveillance missions. The static off-line planning subproblem is addressed, which is useful to determine initial flight routes to maximize the explored area and the surveillance of points of interest in the zone. A specific flight planning solution is developed, to be applied in low-cost commercial Bebop 2. The experimental analysis is performed in realistic instances of the surveillance problem. Results indicate that the proposed multiobjective evolutionary algorithm is able to compute accurate flight plans, significantly outperforming a previous evolutionary method applying the linear aggregation approach.
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Tanan, Natalia, and Laksmi Tungga. "The Pedestrians’ Stories: Towards Walkable Cities in Indonesia. Sustainability in Transportation." In 55th ISOCARP World Planning Congress, Beyond Metropolis, Jakarta-Bogor, Indonesia. ISOCARP, 2019. http://dx.doi.org/10.47472/vhlq6159.
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The paper discusses the process of providing walkable pedestrian facilities in cities in Indonesia which is considered lacking due to the limited number and poor quality. In the past few years, the government has been improving and developing the walkable pedestrian through policy and regulation, as well as physical development. This action is also linked to the green city program, in particular, sustainable transportation. However, the physical development and implementation of policy and green city program are not as smooth as expected due to the limitation of urban space, human resources, and finance. The study focuses on identifying problems and introduces arrangements that could improve the quality of pedestrian facilities. It applies interviews, questionnaires, and design competition to gather input from the public. Two cities in Indonesia are selected as the case studies, namely, Bogor and Banjarmasin. In each city, the study selects a location to elaborate for the design competition. The study analyses the walkability condition in each zone using nine parameters that emphasise on pedestrian conflict with other modes, availability of pedestrian path, availability of crossing, the safety of crossing, the behaviour of the motorcyclist, amenities, disable facility, buffer, and security. The finding points general problems such as poor amenities and lack of disabling facility, as well as the problem of motorcyclist behaviour. Besides problems, the study also identifies local potentials that could support the improvement of walkable pedestrian facilities. Those findings are important to improve the pedestrian facilities and develop an understanding of local condition since each city has different characteristics. The study applies those findings as an input to develop policy on the pedestrian facility of the green city for the Ministry of Public Works and Housing. The policy links to the green city program that addresses eight attributes, namely the green planning and design, open green space, green community, green waste, green energy, green transportation, green building, and green water. Further, the policy also emphasises five components of walkability, accessibility and connectivity, attractiveness, comfort and equality, safety, and security. Combination of green city attributes and walkability components are used for the planning-design and development of walkable pedestrian facilities in the urban area in Indonesia.
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Harik, Ramy, and Gabriel Ris. "Aeronautical Planar Flank Milling Automation: Computing the G-Zones." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99098.
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Flank milling process is commonly applied in the aeronautical industry. It consists of manufacturing mechanical parts using the side of a machinning tool. This process is relevant to be less time consuming as it delivers better surface quality. However, flank milling can only be applied on ruled surfaces. In this article, we cover flank milling application on planar surfaces, a particular ruled surface type. In recent works we presented how to extract planar surfaces milling directions by using expertise provided through our industrial application. We take this study further, where we propose a validation for the proposed milling directions. This validation requires at first a translation of the problem from 3D to 2D. Then, by applying several proposed algorithms we extract for each direction its L-Zone. An L-Zone is the term we use to identify the unmachined part area using a particular milling direction. By intersecting the different L-Zones we obtain the G-Zone that consists of the total unmachined area. Computing the G-Zone for each planar surface indicates the ability of this surface to be flank milled. The proposed study is part of an effort to automate process planning of aeronautical parts. Automating this particular trade can result in a critical reduction of time, effort and costs in aeronautical industries, mainly due to having small production batch.
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Justeau-Allaire, Dimitri, Philippe Vismara, Philippe Birnbaum, and Xavier Lorca. "Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/818.
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Faced with natural habitat degradation, fragmentation, and destruction, it is a major challenge for environmental managers to implement sustainable land use policies promoting socioeconomic development and natural habitat conservation in a balanced way. Relying on artificial intelligence and operational research, reserve selection and design models can be of assistance. This paper introduces a partitioning approach based on Constraint Programming (CP) for the reserve selection and design problem, dealing with both coverage and complex spatial constraints. Moreover, it introduces the first CP formulation of the buffer zone constraint, which can be reused to compose more complex spatial constraints. This approach has been evaluated in a real-world dataset addressing the problem of forest fragmentation in New Caledonia, a biodiversity hotspot where managers are gaining interest in integrating these methods into their decisional processes. Through several scenarios, it showed expressiveness, flexibility, and ability to quickly find solutions to complex questions.
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Quintero-Alvarez, Patricia, Gabriel Ramirez, and Sai¨d Zeghloul. "A Collision-Free Path Planning Method for an Articulated Mobile Robot in a Free Environment." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85217.
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In our previous work, we have treated the collision-free path-planning problem for a nonholonomic mobile robot in a cluttered environment. The method we have used is based on a representation of the obstacles in the robot’s velocity space, called Feasible Velocities Polygon (FVP). Every obstacle in the robot’s influence zone is represented by a linear constraint over the robot’s velocities such that it could not be collision between the robot and the obstacle. These constraints define a convex subset in the velocity space, the FVP. Every velocity vector of the FVP ensures a safe motion for the given obstacle configuration. The path-planning problem is solved by an optimization approach between the FVP and a reference velocity to reach the goal. In this paper, we have extended our work to an articulated mobile robot. This robot is composed of a differential mobile robot as tractor and a trailer, linked by off-center joints. We have modified the reference velocity in order to consider the constraints imposed by the trailer over the robot’s velocities. The control law is a nonlinear control law, which is asymptotically stable to the goal. We use the virtual robot concept, to solve the stability problem when the robot and its trailer move backwards. An articulated mobile robot is a strongly constrained system. Even in a free environment, under some circumstances, the robot may get blocked by its trailer in its progression towards the goal. To solve these situations, we have developed a heuristic algorithm. This algorithm is based in human experience: when a blocking situation is detected, a forward-backward maneuver is made, in order to increase the distance between the tows until a maximal value. After this maneuver, the robot takes the path to the original goal. Some numerical results show that our method leads the robot and the trailer to the final position in a stable way.
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Ostanin, Nikifor, and Nikifor Ostanin. "THE ROLE OF REMOTE SENSING DATA FOR COASTAL ZONE MONITIORING AND MANAGEMENT (CASE STUDY FOR THE EAST PART OF GULF OF FINLAND)." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b9443afa289.85091316.
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Coastal zone of the Eastern Gulf of Finland is subjected to essential natural and anthropogenic impact. The processes of abrasion and accumulation are predominant. While some coastal protection structures are old and ruined the problem of monitoring and coastal management is actual. Remotely sensed data is important component of geospatial information for coastal environment research. Rapid development of modern satellite remote sensing techniques and data processing algorithms made this data essential for monitoring and management. Multispectral imagers of modern high resolution satellites make it possible to produce advanced image processing, such as relative water depths estimation, sea-bottom classification and detection of changes in shallow water environment. In the framework of the project of development of new coast protection plan for the Kurortny District of St.-Petersburg a series of archival and modern satellite images were collected and analyzed. As a result several schemes of underwater parts of coastal zone and schemes of relative bathymetry for the key areas were produced. The comparative analysis of multi-temporal images allow us to reveal trends of environmental changes in the study areas. This information, compared with field observations, shows that remotely sensed data is useful and efficient for geospatial planning and development of new coast protection scheme.
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Ostanin, Nikifor, and Nikifor Ostanin. "THE ROLE OF REMOTE SENSING DATA FOR COASTAL ZONE MONITIORING AND MANAGEMENT (CASE STUDY FOR THE EAST PART OF GULF OF FINLAND)." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b431552d3e8.
Texto completoResumen
Coastal zone of the Eastern Gulf of Finland is subjected to essential natural and anthropogenic impact. The processes of abrasion and accumulation are predominant. While some coastal protection structures are old and ruined the problem of monitoring and coastal management is actual. Remotely sensed data is important component of geospatial information for coastal environment research. Rapid development of modern satellite remote sensing techniques and data processing algorithms made this data essential for monitoring and management. Multispectral imagers of modern high resolution satellites make it possible to produce advanced image processing, such as relative water depths estimation, sea-bottom classification and detection of changes in shallow water environment. In the framework of the project of development of new coast protection plan for the Kurortny District of St.-Petersburg a series of archival and modern satellite images were collected and analyzed. As a result several schemes of underwater parts of coastal zone and schemes of relative bathymetry for the key areas were produced. The comparative analysis of multi-temporal images allow us to reveal trends of environmental changes in the study areas. This information, compared with field observations, shows that remotely sensed data is useful and efficient for geospatial planning and development of new coast protection scheme.
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Gong, Shangdong, Redwan Alqasemi, and Rajiv Dubey. "Gradient Optimization of Inverse Dynamics for Robotic Manipulator Motion Planning Using Combined Optimal Control." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72064.
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Motion planning of redundant manipulators is an active and widely studied area of research. The inverse kinematics problem can be solved using various optimization methods within the null space to avoid joint limits, obstacle constraints, as well as minimize the velocity or maximize the manipulability measure. However, the relation between the torques of the joints and their respective positions can complicate inverse dynamics of redundant systems. It also makes it challenging to optimize cost functions, such as total torque or kinematic energy. In addition, the functional gradient optimization techniques do not achieve an optimal solution for the goal configuration. We present a study on motion planning using optimal control as a pre-process to find optimal pose at the goal position based on the external forces and gravity compensation, and generate a trajectory with optimized torques using the gradient information of the torque function. As a result, we reach an optimal trajectory that can minimize the torque and takes dynamics into consideration. We demonstrate the motion planning for a planar 3-DOF redundant robotic arm and show the results of the optimized trajectory motion. In the simulation, the torque generated by an external force on the end-effector as well as by the motion of every link is made into an integral over the squared torque norm. This technique is expected to take the torque of every joint into consideration and generate better motion that maintains the torques or kinematic energy of the arm in the safe zone. In future work, the trajectories of the redundant manipulators will be optimized to generate more natural motion as in humanoid arm motion. Similar to the human motion strategy, the robot arm is expected to be able to lift weights held by hands, the configuration of the arm is changed along from the initial configuration to a goal configuration. Furthermore, along with weighted least norm (WLN) solutions, the optimization framework will be more adaptive to the dynamic environment. In this paper, we present the development of our methodology, a simulated test and discussion of the results.
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Anton, Margareta, and Corina Ivan. ""POLAR TEAM" SOFTWARE ENABLED TRAINING. ADAPTING THE PHYSICAL TRAINING REGIME OF THE NATIONAL FOOTBALL TEAM." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-243.
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Purpose. The different training of the players, form the clubs where they activate, allow with the help of the software "Polar Team?" a directing of the effort in real time, in order of homogenisation of the team but even an analyses of the main intensity parameters of the effort, with its biological echo. Problem statement. The monitoring of the trainings with help of software's may, contribute at analysis and planning of training process of the high performance athletes the fact that leads to a better managing of the training time but even at a real conducting in order of homogenization of the players under the aspect of engagement in effort. Methods. The software "Polar Team?" is designed especially for management of the intensity effort and biological echo of some effort indicators (minimum, maximum and medium cardiac rate, number of kcal, charging of the training and it duration). Offer the information in real time, meaning on the duration of an hour and twenty minute. Processing and data interpretation. Has interpreted the graphics. The analyzed parameters are: zone effort, the lower, medium and maximum cardiac rate, the charging of the training (training load), kcal and integral or partial duration of the training. Discussions. The maximal zone effort has a duration of 0-10-15secunde (C. Bota, 2000 and A. Nicu, 1993), the under maximal zone effort has 1min, high intensity zone has 6min and moderate intensity zone has 6min-60min. The higher duration of the deployment of the effort is grater in maximum intensity zone with charger over maximal rate and with a maximum respirator rhythm fewer than 100% may be considerate like a good adaptation at the effort with a normal biological echo. Conclusions: For homogenisation of the team are not sufficient just physical preparing trainings but technical training those, psychological and theoretical tactics. And I do not believe that is possible an homogenization of the physical training on a period so short like that from the lot. This soft is useful for show them the degree of training state at which they are at the moment, by comparing the different parameters from the software and of a different training stages.
Informes sobre el tema "Zone Planning Problem"
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Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1946.
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Trucks serve significant amount of freight tonnage and are more susceptible to complex interactions with other vehicles in a traffic stream. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel result in loss of revenue to the trucking companies. There is a significant research on the traffic congestion mitigation, but a very few studies focused on data exclusive to trucks. This research is aimed at a regional-level analysis of truck travel time data to identify roads for improving mobility and reducing congestion for truck traffic. The objectives of the research are to compute and evaluate the truck travel time performance measures (by time of the day and day of the week) and use selected truck travel time performance measures to examine their correlation with on-network and off-network characteristics. Truck travel time data for the year 2019 were obtained and processed at the link level for Mecklenburg County, Wake County, and Buncombe County, NC. Various truck travel time performance measures were computed by time of the day and day of the week. Pearson correlation coefficient analysis was performed to select the average travel time (ATT), planning time index (PTI), travel time index (TTI), and buffer time index (BTI) for further analysis. On-network characteristics such as the speed limit, reference speed, annual average daily traffic (AADT), and the number of through lanes were extracted for each link. Similarly, off-network characteristics such as land use and demographic data in the near vicinity of each selected link were captured using 0.25 miles and 0.50 miles as buffer widths. The relationships between the selected truck travel time performance measures and on-network and off-network characteristics were then analyzed using Pearson correlation coefficient analysis. The results indicate that urban areas, high-volume roads, and principal arterial roads are positively correlated with the truck travel time performance measures. Further, the presence of agricultural, light commercial, heavy commercial, light industrial, single-family residential, multi-family residential, office, transportation, and medical land uses increase the truck travel time performance measures (decrease the operational performance). The methodological approach and findings can be used in identifying potential areas to serve as truck priority zones and for planning decentralized delivery locations.