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Status and Research Topics in Developing Ecological Transportation System within Connected Vehicle Age with Knowledge Discovery in Database Techniques

机译:基于数据库技术知识发现的车联网时代生态交通系统发展现状与研究主题

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Traditional transportation studies normally focus on the development of countermeasures for the improvement of safety and mobility of transportation systems. With the newly identified evidences and increased public concerns, the impacts of transportation activities on environment and ecologic systems attract more and more attentions. This article reviews the current air quality and vehicle emission models and real-time intelligent network control methods in ecological transportation (or called eco-transportation) systems with the efforts in reducing greenhouse gases and exhaust emissions, and improving air quality and public health. The ecological transportation system is considered in a Connected Vehicle environment, and the potential applications of the Knowledge Discovery in Databases (KDD) techniques in ecological transportation system are also reviewed. The proposed research topics can be extended to a better understanding of complex network modeling and controls associated with the development of sustainable urban environment with the ecological transportation system.
机译:传统的交通研究通常集中在发展对策上,以改善交通系统的安全性和机动性。随着新发现的证据和公众日益关注,运输活动对环境和生态系统的影响越来越受到关注。本文回顾了生态运输(或称为生态运输)系统中当前的空气质量和车辆排放模型以及实时智能网络控制方法,以努力减少温室气体和废气排放,并改善空气质量和公共卫生。在互联车辆环境中考虑了生态运输系统,并且还回顾了知识发现数据库(KDD)技术在生态运输系统中的潜在应用。所提出的研究主题可以扩展为对复杂的网络建模和与生态交通系统发展可持续城市环境相关的控制的更好理解。

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