智慧交通与模型团队

发布者:gxcjs1发布时间:2020-05-22浏览次数:846

    近年来,交通信息系统的建设及大数据理论的快速发展,促使交通领域中的许多技术概念正在发生巨大变化。在此背景下,Bluesky工作室自2017年团队整合后,设立智慧交通与模型团队,基本形成了博士后—博士研究生—硕士研究生—本科SRTP组成的结构合理的链式研究体系。

    智慧交通与模型团队以夯实基础理论、提升创新能力为目标,通过研学互动、学术交流、项目实践与讨论等方式开展了一系列科研创新活动。研学互动主要包括国内外经典文献专著及相关研学材料的导读、讲解、提问、答疑、交流、点评和总结等相关环节,开展经典书籍、重大课题及学术论文的学习与交流活动,并积极组织学习交通建模理论与相关建模软件,指导本科毕业设计与SRTP。学术交流包括跟踪国际前沿研究,积极参加国际学术会议,建立与国外团队的交流机制,共同开展学术研究,并与国内同领域研究团队课题合作与交流,团队成员开展定期研讨与不定期实时交流,积极参加国内技能培训,参与国际国内相关研究项目的申报和合作项目的竞标。项目研讨方面,积极与国内同领域研究团队(江苏纬信工程咨询有限公司、江苏省交通规划设计研究院、南京城市与交通规划设计研究院、苏州规划设计研究院)建立产学研一体化机制,进行课题合作与交流。

    团队的理论和应用研究方向主要聚焦在交通建模、大数据、人工智能、数据挖掘、深度学习等方向。通过开展系列的交通建模理论与软件应用方面的培训,提升成员交通分析软件的开发和应用能力。

    团队主要承担了江苏省交通运输厅重大科技专项《沪宁高速公路超大流量路段通行保障关键技术研究与工程示范》、江苏省教育厅《基于步行出行模式的土地利用混合指数开发》《交叉口群交通状态识别方法研究》等多项科研项目,并在国内外高水平期刊上发表了一系列研究成果。

    In recent years, with the rapid development of the traffic information system and the big data theory, many technical concepts in traffic field are changing greatly. Under this situation, Intelligent transportation and modeling group is companied with the foundation of the Bluesky Studio after group integration in 2017. It’s a specific research group, with rational staff structure and clear research system, is consisted of post doctors, doctors, masters and undergraduates.

    Intelligent transportation and modeling group aims to consolidate the basic theory and enhance the ability of innovation, so as to carry out a series of scientific research and innovation activities by means of interactive study, academic discussion, project practice and so on. Interactive study mainly includes self-study, explanation, question, answer, interaction, comment and summarization of basic readings and criterions, adhere to regular exchange activities involving classic books, major projects and academic papers, actively organize learning traffic modeling theory and related modeling software, undergraduate graduation design and SRTP guidance. Academic discussion mainly contains keeping update of the forefront research subjects, interaction with other research groups home and abroad, actively participating in international conference and training of domestic skills, academic research coronations and attentions of high-level international conferences. As to the practice of projects, we actively establish the integration mechanisms of production, study and research, cooperation and exchange of projects, with other groups (Traffic Planning and Design Institute of Jiangsu Province, Nanjing Research Institute of Urban and Transport Planning, Jiangsu Transportation Research Institute and Suzhou Planning and Design Institute).

    The theoretical and applied research directions of the group mainly focus on traffic modeling, big data, artificial intelligence, data mining, and depth learning, and so on. The Group infinitely promotes the studio members’ ability of using and developing traffic analysis software through carrying out a course of lectures.

    The group mainly undertakes a number of provincial scientific research projects including “Key Technology Research and Engineering Demonstration of the Passage Guarantee for the Super-large Traffic Section of Shanghai-Nanjing Expressway” (key technology projects of the Jiangsu Provincial Department of Transportation), “Development of Land Use Mixed Index Based on Walking Mode” (Jiangsu Provincial Department of Education), “Research on Traffic State Recognition Method for Intersection Groups ” (Jiangsu Provincial Department of Education) and published a series of research results in high-level journals at home and abroad.