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Simulation Study on Pedestrian Road Planning in Ancient Building Groups Under Cloud Computing Environment

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Abstract

In order to guide the traffic organization in the ancient building group in an orderly manner, the simulation study on the pedestrian road planning of the ancient building group in the cloud computing environment is proposed. Based on the analysis of the characteristics of pedestrian roads, a cloud computing environment road planning simulation model is established. Using the cloud computing environment to determine the maximum number of people on the road, use the simulation software LEGION to set the structure and parameters of the model, and carry out road planning and deduction in the simulator to realize the design of the road planning simulation model. Through the method of experimental argumentation and analysis, the effectiveness of the cloud computing environment road planning simulation model is determined, which can improve the order planning of pedestrians’ road planning.

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Acknowledgments

1. Research on the Classification, Conservation and Utilization of Historic buildings and blocks, supported by the Scientific Research Grant Project of institutions of higher Learning in Inner Mongolia Autonomous region (Project Plan No. NJZY18255).

2. Research on adaptation Strategy of Rural Housing in Hohhot, a scientific research grant project for colleges and universities in Inner Mongolia Autonomous region (Project Plan No. NJZY18257).

3. Study on the Conservation and Utilization in the Planning of Historic blocks in the Desert-Southern Mongolia area-taking Wulanchabu area as an example (Grant No: 18NDXT02).

This achievement is supported by the Cooperative Innovation Center for Cultural inheritance and Development of Mongolian and Northern Minority nationalities in Inner Mongolia Autonomous region.

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Correspondence to En-mao Qiao .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Qiao, Em., Shang, Dw. (2019). Simulation Study on Pedestrian Road Planning in Ancient Building Groups Under Cloud Computing Environment. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-36402-1_38

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  • DOI: https://doi.org/10.1007/978-3-030-36402-1_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36401-4

  • Online ISBN: 978-3-030-36402-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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