scholarly journals IMPLEMENTING AUGMENTED REALITY SANDBOX IN GEODESIGN: A FUTURE

2018 ◽  
Vol IV-4 ◽  
pp. 5-12 ◽  
Author(s):  
A. Afrooz ◽  
H. Ballal ◽  
C. Pettit
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Collaborative Decision Making ◽  
Pedagogical Tool ◽  
Wide Range ◽  
The World ◽  
Collaborative Decision

<p><strong>Abstract.</strong> Geodesign method and tools are extensively used for collaborative decision making focused on different fields such as transportation, land use, and landscape and has been applied in various places around the world. Nowadays, Augmented Reality (AR), Virtual Reality (VR) and more recently AR sandbox are increasingly becoming very popular particularly as a pedagogical tool. This research aims to investigate whether an AR sandbox could enhance the understanding of people around the development of design proposals and their impacts. We explored if AR sandbox could be implemented in a collaborative geodesign workflow. We reported an experiment where people were asked to build new trails using the sandbox and how the trails they designed were integrated with a larger design. Results explore opportunities and limitations of implementing AR sandbox in a collaborative geodesign workflow based on the experiment in this paper. Our AR sandbox experiment revealed a wide range of benefits to participants in the trail planning and to the geodesign structure.</p>

scholarly journals Multiobjective Optimization Model for Collaborative En-Route and Slot Allocation

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Shangwen Yang ◽  
Jingting Zhang ◽  
Ping Chen ◽  
Yongjie Yan
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Programming Model ◽  
Numerical Test ◽  
Simulated Data ◽  
Slot Allocation ◽  
Collaborative Decision Making ◽  
Average Delay ◽  
Flight Delay ◽  
Collaborative Decision

To allocate the en-routes and slots resource to the flights with collaborative decision-making, a multiobjective 0-1 integer programming model was proposed. According to different demands from air traffic control departments, airlines, and passengers, efficiency, equity, and effectiveness principles of collaborative decision-making were considered. With the aim to minimize the total flight delay costs, the total number of turning points, and average delay time of passengers, the effectiveness constraints were achieved. The algorithm was designed to solve the model on the basis of the objective method, and Lingo11 and MatlabR2007b were applied in numerical tests. To test how well the model works in real world, a numerical test was performed based on the simulated data of a civil en-route. Test results show that, compared with the traditional strategy of first come first served, the model gains better effect. The superiority of the model was verified.

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