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  • 标题:Evaluation Index Development for Intelligent Transportation System in Smart Community Based on Big Data
  • 本地全文:下载
  • 作者:Ruimin Li ; Ai Kido ; Shi Wang
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2015
  • 卷号:7
  • 期号:2
  • 页码:541651
  • DOI:10.1155/2014/541651
  • 语种:English
  • 出版社:Sage Publications Ltd.
  • 摘要:A scientific evaluation index system for intelligent transportation system (ITS) can play an important role in guiding the development of ITS for decision makers in smart communities. This study aims to develop a set of performance indicators for the effective evaluation of the transportation system in a smart community in China. The main goals of the developed evaluation index are determined after a careful review of the various index systems implemented by various agencies worldwide. A set of indicators divided into the following six categories are then presented: transport structure, traffic information service, traffic efficiency, traffic safety, energy and pollution reduction, and social inclusion. To further discuss the practical application of the index system, a number of indicators are defined in detail and applied in arterial and public transportation efficiency evaluations based on the available dataset. Results from the index calculation show that the index proposed in this study can be adopted in evaluating the transportation system performance in smart communities based on big data.
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