A big data and cloud computing model architecture for a multi-class travel demand estimation through traffic measures: a real case application in Italy

IF 1.4 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI:10.1504/ijcse.2023.10059380

Maria Ida Di Bartolomeo, Assunta Errico, Ilaria Henke, Armando Cartenì

引用次数: 0

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基于交通测度的多级出行需求估算的大数据和云计算模型架构:意大利的真实案例应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

4.00

自引率

40.00%

发文量

期刊介绍： Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.