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      Preprint Traffic Management and Forecasting System Based on 3D GIS

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          Abstract

          This is the preprint version of our paper on 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). This paper takes Shenzhen Futian comprehensive transportation junction as the case, and makes use of continuous multiple real-time dynamic traffic information to carry out monitoring and analysis on spatial and temporal distribution of passenger flow under different means of transportation and service capacity of junction from multi-dimensional space-time perspectives such as different period and special period. Virtual reality geographic information system is employed to present the forecasting result.

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          Current map-matching algorithms for transport applications: State-of-the art and future research directions

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            A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm

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              DC Microgrids: Economic Operation and Enhancement of Resilience by Hierarchical Control

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                Author and article information

                Journal
                2015-04-04
                2015-07-29
                Article
                1504.01375
                b353231b-fa55-4b67-8181-37df563f7b33

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                This is the preprint version of our paper on 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). arXiv admin note: text overlap with arXiv:1504.01057. arXiv admin note: substantial text overlap with arXiv:1504.01057
                cs.OH

                General computer science
                General computer science

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