At 9:30 on April 21, in the School of Transportation and Logistics Conference Room 01109, Professor Yang Dongyuan brings the lecture "a vehicle based on the license data structure analysis," The meeting was chaired by the Vice-President Luo Xia.
Yang Dongyuan, Transportation Engineering, Tongji University doctoral tutor, served as Dean of the School of Transportation Engineering, Tongji University, Tongji University, Chinese Communist Party Committee, executive vice president of Tongji University, is currently the director of the Development Research Center of Tongji sustainable, Shanghai Institute of Transportation Engineering vice president, deputy director of the Ministry of Construction, Urban Transport Engineering Research Center, China Intelligent Transportation Association executive director. Since 1982, engaged in urban transport planning, research travel demand model, intelligent transportation systems, logistics systems planning and other aspects of the work. Has presided over the Ministry of Science, "fifteen" key major issue projects, funded by the National Natural Science Foundation project, the National 863 Project, provincial and municipal logistics system planning, comprehensive transportation planning projects totaling dozens, 2009 China Communications and Transportation Association named Express branch RONGTAI Incentive Fund Education Award, has a high reputation in the field of study.
At the beginning of Lectures , LUO Xia, the vice president express their gratitude to Professor Yang Dongyuan. Subsequently, Professor Yang, said that the students actively participated happy. Then, Prof. Yang started with Shanghai as an example, the analysis of large data traffic, "based on the vehicle license plate data structure analysis" theme lectures applications.
Professor Yang first ask you a question: " What does it do with big data" in the students know the "precise and vague," the characteristics of large data after Professor Yang proposed to be applied to large data traffic the industry is currently a research hotspot, and that this application is "to policy, not engineering." In the course of the subsequent lectures, Professor Yang also continue to reaffirm this idea.
Then, compare the difference between Prof. Yang traditional four-stage method of traffic and big data applications that traditional methods of "insufficient data to support decision-making", and large data can be "not able to accurately reflect the trend toward" features provide city Traffic congestion decisions.
Subsequently, talks into the most important part, Professor Yang with a use of a key project of Shanghai Science and Technology Commission of big data as the basis, to explain to you the specific characteristics of big data, applied to the traffic flow of steps, bottlenecks, solutions, and make the final decision. First, Professor Yang Shanghai show vehicle license data system, introduced its layout and the information contained in the project so that we understand the context and the environment. Then, he explained the license data collection and statistical process, and interpret data quality, reliability, etc. can be used day and night to identify the correct rate, daytime, nighttime recognition of non-zero rates and other indicators to measure and give a specific The data results. Then, on transportation demand management, Professor Young believes the structure of the vehicle structure better performance than the traffic problem, and describes the extent of use of the vehicle based on the performance of large data derived statistical features. When the license data analysis, Professor Yang into vehicles and vehicles using frequency analysis constitute the two most frequent use to explain to working, non-working day, the Shanghai brand, foreign licenses to be more detailed distinction. On this basis, Professor Yang will be divided into five categories of vehicle property characteristics, carried out a specific cluster analysis, combined with the properties of each type of vehicle, the corresponding transport policy recommendations. After that, Professor Yang has been congested Yan'an Elevated example, specific vehicle structural analysis, and proposed "shared bus" concept and ideas; addition, Professor Yang also made analysis and recommendations of Chengdu Ring BRT implementation. Finally, Professor Yang hopes to make a few of the students here: First, by analogy, think about big data can be used in IC card, subway card; Second, do not be bound by tradition, big data is not the same with the four-stage method of solution.
In exchange links students to ask questions, some students on specific data analysis methods and procedures to ask questions, Professor Yang also seriously make it clear that some small error big data can be ignored, the way they are as simple as possible, in order to solve practical problems for the target .
In the end of the lecture, Professor Luo Xia Yang, vice president summed up the lecture content, and that his classmates to the hospital on a very exciting and valuable lesson for the students to learn has a very important fact and meaning.
In layman's explanation of Professor Yang, students understand the concept and role of big data, recognize the value of big data is that in order to "correct replacement accurate vague error", and in-depth understanding of the learning method of replication. So far, the successful conclusion of the seminar.
