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Zhao Guanghui - Big Data Transportation Systems

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Zhao Guanghui Big Data Transportation Systems
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References 1Lu Guangming Ningbo Builds Intelligent Transportation Management - photo 1

References

[1]Lu Guangming. Ningbo Builds Intelligent Transportation Management System. Peoples Public Security Daily, Traffic Safety Weekly, August 18, 2017, p. 2.

[2]Li Haifeng and Ma Xiaolei. Youth Mainstay of Transportation Big Data. Science and Technology Daily, October 10, 2017, p. 6.

[3]Liu Qi. Big Data Tells You Why the Traffic Accident Happened. Changsha Evening News, April 8, 2017, p. 7.

[4]Lin Gang. Qingdao Intelligent Parking Comprehensive Platform was Launched. Qingdao Daily, July 27, 2017, p. 4.

[5]Luo Yunhui, Li Lin, and Qi Wenzhou. Research on Single Point Traffic Signal Timing Optimization Strategy Based on Big Data. Highway and Automobile Transportation, 2017 (04): 2227.

[6]Xu Jihua, Feng Qina, and Chen Zhenru. Smart Government: The Coming of the Era of Big Data Governance, Beijing: CITIC Press, 2014.

[7]Zhang Xiaoming. War Heat, Not just Physical Work. Wen Wei Po, July 13, 2017, p. 2.

[8]Li Kun. Build a World Intelligent Platform to Help the Coordinated Development of Beijing, Tianjin and Hebei. China Reform News, July 3, 2017, p. 7.

[9]Yan Wei. Research on Transportation Big Data and Application Technology. Tianjin Electronic Industry Association. Proceedings of 2017 Annual Meeting of Tianjin Electronic Industry Association. Tianjin Electronic Industry Association: 2017, p. 4.

[10]Xu Zongben. Academician of Chinese Academy of Sciences, Professor of Xian Jiaotong University, Using Big Data Well Requires Great Wisdom. China Education Network, 2017 (06): 3132.

[11]Hu Jihua, Gao Lixiao, and Liang Jiaxian. OD Matrix Inference Method of Bus Routes Based on Transportation Big Data. Science Technology and Engineering, 2017 (11): 309314.

[12]7its.com. Wechat Official Platform: The Current Situation, Application and Benefits of the Construction of Changsha Intelligent Transportation System, November 30, 2017.

[13]Zhao Bingyu. Meet the Big Transportation in the Era of Big Data. Yanan Daily, July 17, 2017, p. 1.

[14]Yu Shuo and Li Zeyu. Research on Transportation Big Data and Application Technology. China High Technology Enterprises, 2017 (04): 9091.

[15]Xia Huan, Editor in Chief. Collection of Smart City Industry Solutions Centered on Data, Wuhan: China University of Geosciences Press (2016), p. 11.

[16]Xiao Ziqian, Chen Jingyou, and Fu Shi. Overview of the Development of Intelligent Transportation System in the Context of Big Data. Software Guide, 2017 (01): 182184.

[17]Zhao Guanghui. Thoughts on the Development of Big-data Transportation in the Context of Internet +. Logistics Technology, 2016 (06): 1924.

[18]Zhang Bin, Mao Lin, and Zhang Yiwen. Research on the Application Relevance of Traffic Big Data based on Real-time Road Condition. Henan Science and Technology, 2016 (11): 108110.

[19]Yan Junwei, Ling Weiqing, and Wang Jian. An Ontology Based Transportation Big Data Analysis Framework. Computer Knowledge and Technology, 2016 (01): 2527.

[20]Zhang Hong, Wang Xiaoming, Guo Xiucheng, Cao Jie, Zhu Xusheng, and Guo Yirong. Application of GPS Trajectory Big Data of Taxi in Intelligent Transportation. Journal of Lanzhou University of Technology, 2016 (01): 109114.

[21]Chen Tao. Research on the Application of Big Data in Intelligent Transportation System. Intelligent City, 2016 (02): 3637.

[22]Chen Ran. Analysis Framework of Transportation Big Data Based on Ontology. Technology and Economic Guide, 2016 (06): 27.

[23]Zhang Zi. Big Data Helps Guiyang Intelligent Transportation. Computers & Internet, 2015 (19): 9.

[24]Tian Qiang. Highlight the Advantages of Big Data Application and Innovate the Three-Dimensional Prevention and Control System. Peoples Public Security Daily, Traffic Safety Weekly, October 9, 2015, p. 3.

[25]Hu Caiyi and Yang Xinmiao. Hub Information Service of Integrated Transportation Based on Big Data. Comprehensive Transportation, 2015 (07): 6062.

[26]Bie Kun. Big Data Drives Intelligent Transportation. Computerworld, July 15, 2013, p. A10.

[27]Gao Shudong. Challenges Faced by Commercial Banks in the Era of Big Data Interview with Zhou Yanti, Deputy General Manager of Data Center of Bank of Communications Co., Ltd. Financial Computer of China, 2013 (07): 2224.

[28]Yue Jianming and Yuan Lunqu. Big Data Analysis in the Development of Intelligent Transportation. Productivity Research, 2013 (06): 137138, 165.

[29]Meng Qingfeng. Traffic Problem Solving under Big Data. China Communications News, July 17, 2013, p. 5.

[30]Guo Tao. Big Data All in One Machine Makes Urban Traffic Intelligent. China Information World, December 31, 2012, p. 16.

[31]Chen Mei. Application of Big Data in Public Transportation. Library and Information, 2012 (06): 2228.

[32]Liu Haiyong. Help Intelligent Growth and Cultivate High-end Talents in the Era of Big Data IBM and Beijing Jiaotong University Jointly Release the Joint Talent Training Plan for Information Management. China Education Info, 2012 (19): 89.

Part I
Cognition: Understanding Big Data

Part I covers the understanding big data transportation that includes various application scenarios of big data transportation, the development status of big data abroad, the clarification of the concept of big data transportation, the security issues, and the essence of innovation.

Part II
Application: Practical Implementation of Big Data Transportation

Part II of the book discusses the implementation of the big data transportation, that is, how to import and apply the big data transportation in various fields will be illustrated by cases including competitions of big enterprises in the field of the big data transportation, big data to help public transportation planning, big data transportation and logistics, the future of big data transportation, etc.

Chapter 1
What is Big Data Transportation?

The so-called big data transportation means that through the Internet technology and big data technology, the data generated and precipitated in the transportation industry are processed, analyzed, and operated by using data processing tools so as to produce more effective, convenient, and high-value transportation, optimization, and governance programs, bring convenience to peoples travel, improve transportation efficiency, save energy resources, reduce pollution emissions, and optimize the industrial structure.

1.1Big Data Transportation and Internet +
1.1.1Big data is coming fast

As the industrial society moves toward the information society, all human achievements are stored and transmitted in the form of binary information, and the information is converted into digital form. Some scholars have divided the informationization process of human society into three eras, namely the computer era, the Internet era, and the big data era.Vehicles, intelligent phones, and tablets, human-produced data are growing exponentially.

The information chart released by MBA online website shows that every day 294 billion emails are sent out, 2 million blogs are published online, 250 million photos are uploaded on Facebook, 8.64 million hours of videos are uploaded on YouTube, and 187 million hours of concerts are played on Pandora, the streaming music website. According to IBMs analysis, 90% of all the data obtained by the entire civilization of mankind were generated within the past two years. By 2020, the scale of data generated in the world will reach 44 times that of today.

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