互联网交通大数据应用教学探究平台设计  

Design of Teaching Platform for Application of Big Data on Traffic

作　　者：何英[1] 段力[1] 邹志云[1] HE Ying;DUAN Li;ZOU Zhiyun(School of Civil and Hydraulic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学土木与水利工程学院,武汉430074

出　　处：《实验科学与技术》2022年第2期117-121,共5页Experiment Science and Technology

基　　金：教育部第二批国家级新工科研究与实践项目(E-HTJT20201722)。

摘　　要：随着大数据等新兴技术的发展,交通数据的内涵和外延得到了进一步拓展,对数据进一步挖掘利用成为交通研究和实践的热点,数据分析应该成为交通专业学生必备技能,交通实验课程体系也应跟上大数据技术的发展步伐。对建设互联网交通大数据实验平台进行探讨,以滴滴出行平台交通大数据共享为基础,开发交互性、可变性较强的大数据分析及可视化实验,从数据的清洗与处理、初步挖掘及可视化、深度挖掘和应用等几个方面,设计了5个基础实验以及2个扩展探索实验,使学生能够初步掌握大数据处理、分析和应用探索的实践能力。With the development of emerging technologies such as big data,the connotation and extension of traffic data have been further expanded,and further data mining and utilization has become a hot spot on transportation research and practice.Data analysis and research should become an indispensable skill for students major in transportation,and the transportation experiment course system should also keep up with the development of big data technology.The construction of an experimental platform for Internet big data on traffic is deeply discussed in this article.Based on Didi’s big data sharing project,interactive and highly variable big data analysis and visualization experiments are developed,including data cleaning and processing,preliminary data processing and visualization,application research on data mining,etc.Five basic experiments and two comprehensive experiments are designed to enable students to master the practical ability of big data processing,analysis and application.

关 键 词：网约车 大数据 教学平台 实验设计 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]