Computational network design from functional specifications

Peng, Chi-Han; Yang, Yongliang; Bao, Fan; Fink, Daniel; Yan, Dong‐Ming; Wonka, Peter; Mitra, Niloy J.

doi:10.1145/2897824.2925935

Cited by 43 publications

(27 citation statements)

References 44 publications

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“…A mixed integer program was developed in [58] for designing building interiors. Integer programming was utilised in [59] for urban street network design. As can be noticed, there is a lack of focus on optimisation problems encountered in the strategic design of urban areas, where traffic and building layout are both integrated.…”

Section: Discussion and Insightmentioning

confidence: 99%

Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities

et al. 2019

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Many cities around the world are facing immense pressure due to the expediting growth rates in urban population levels. The notion of 'smart cities' has been proposed as a solution to enhance the sustainability of cities through effective urban management of governance, energy and transportation. The research presented herein examines the applicability of a mathematical framework to enhance the sustainability of decisions involved in zoning, land-use allocation and facility location within smart cities. In particular, a mathematical optimisation framework is proposed, which links through with other platforms in city settings, for optimising the zoning, land-use allocation, location of new buildings and the investment decisions made regarding infrastructure works in smart cities. Multiple objective functions are formulated to optimise social, economic and environmental considerations in the urban space. The impact on underlying traffic of location choices made for the newly introduced buildings is accounted for through optimised assignment of traffic to the underlying network. A case example on urban planning and infrastructure development within a smart city is used to demonstrate the applicability of the proposed method.Energies 2019, 12, 1318 2 of 23 increasingly reflected in the operations of existing cities, resulting in an interrelated platform between large numbers of citizens, transport networks, services and urban assets and facilities [9].Decision-making in planning and operations of smart cities needs to be structured around two main considerations, namely strategic and tactical decisions [10]. Yet, current emphasis in the literature is on the technical interfaces making up the various data-exchange enabling platforms placed within the cities, with little emphasis on the strategic and tactical urban planning aspects of smart cities. Within the area of strategic decision-making in city planning, zoning of the city and the location of its operating facilities, including schools, hospitals and so forth, are both of significant relevance [11]. An appropriate selection of zone clusters and the subsequent selection of locations to place buildings in form the main components that are involved in city design. In cities, the positioning of new buildings leads to the generation of traffic demand in the existing network structure [12]. This causes additional traffic loadings on the existing network, and if not well planned for, can result in major transportation delays to network users. Traffic congestion is thought to result in over $121 billion in losses [13] and can increase the amount of carbon emissions from traffic by more than 53% [14]. Another important strategic consideration is the development of the underlying travel network of the region. Specifically, the development of the transport network will be based on the capacities required to handle the initiated travel on the transport networks, while the operations of the network will in turn be associated with the established capacity of the network, along...

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Section: Discussion and Insightmentioning

confidence: 99%

Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities

et al. 2019

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“…Improving upon this previous work, Peng et al [PYW14] propose a novel tiling‐based approach with deformable templates. Their subsequent work [PYB*16] proposes an integer‐programming‐based approach to generate networks starting from functional specifications. Feng et al [FYY*16] focus on mid‐scale layout modeling based on human crowds.…”

Section: Related Workmentioning

confidence: 99%

MIQP‐based Layout Design for Building Interiors

Fan

Liu

et al. 2018

Computer Graphics Forum

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We propose a hierarchical framework for the generation of building interiors. Our solution is based on a mixed integer quadratic programming (MIQP) formulation. We parametrize a layout by polygons that are further decomposed into small rectangles. We identify important high‐level constraints, such as room size, room position, room adjacency, and the outline of the building, and formulate them in a way that is compatible with MIQP and the problem parametrization. We also propose a hierarchical framework to improve the scalability of the approach. We demonstrate that our algorithm can be used for residential building layouts and can be scaled up to large layouts such as office buildings, shopping malls, and supermarkets. We show that our method is faster by multiple orders of magnitude than previous methods.

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“…Galin et al proposed to generate roads procedurally given a natural landscape with river and hills [29]. Computationally generated layouts can also be used for architectural design [46], [47], [48] and urban planning [49], [50], [51], [52]. Refer to the survey [53] by Smelik et al for a comprehensive review of the state-of-the-art procedural modeling techniques for generating layout designs for virtual environments.…”

Section: Computational Layout Designmentioning

confidence: 99%

Automatic Optimization of Wayfinding Design

Huang

Lin

Barrett

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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Wayfinding signs play an important role in guiding users to navigate in a virtual environment and in helping pedestrians to find their ways in a real-world architectural site. Conventionally, the wayfinding design of a virtual environment is created manually, so as the wayfinding design of a real-world architectural site. The many possible navigation scenarios, as well as the interplay between signs and human navigation, can make the manual design process overwhelming and non-trivial. As a result, creating a wayfinding design for a typical layout can take months to several years. In this paper, we introduce the Way to Go! approach for automatically generating a wayfinding design for a given layout. The designer simply has to specify some navigation scenarios; our approach will automatically generate an optimized wayfinding design with signs properly placed considering human agents' visibility and possibility of making mistakes during a navigation. We demonstrate the effectiveness of our approach in generating wayfinding designs for different layouts such as a train station, a downtown and a canyon. We evaluate our results by comparing different wayfinding designs and show that our optimized wayfinding design can guide pedestrians to their destinations effectively and efficiently. Our approach can also help the designer visualize the accessibility of a destination from different locations, and correct any "blind zone" with additional signs.

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Computational network design from functional specifications

Cited by 43 publications

References 44 publications

Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities

Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities

MIQP‐based Layout Design for Building Interiors

Automatic Optimization of Wayfinding Design

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