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Beautiful Journey A Big Transportation Data Initiative. Prepared by: Dr. Fumin Zou Fujian University of Technology Texas Tech University April, 2014. Outline. I. Beautiful Journey. II. Transportation Big Data: Current Applications. III. Future work. Outline. I. Beautiful Journey.
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Beautiful Journey A Big Transportation Data Initiative Prepared by: Dr. Fumin Zou Fujian University of Technology Texas Tech University April, 2014
Outline I Beautiful Journey II Transportation Big Data: Current Applications III Future work
Outline I Beautiful Journey II Transportation Big Data: Current Applications III Future work
Objective: Provide travelers with real-time traffic information Towards smarter, saferand sustainable travel: Beautiful Journey Research consortium: Innovation Centre of BeiDou Navigation and Smart Transportation (IC-BST) Beautiful Journey1. Objective and Center Organization • 11 Research institutes and companies • Center organization: • Director: Prof. Jiang, President of FJUT • Chair of Academic Committee: Dr. Deng, Member of National Academy of Engineering of China, Vimicro Chairman and CEO • Chief Scientist: Dr. Zhang, Vice-General Manager of China Aerospace Science & Industry Corp., Director of Ground Data System in Chinese National Manned Space Program Partners: Texas Tech University Fuzhou Traffic Police Detachment VMWare International Limit ESRI China Fijitsu Semiconductor Asia Pacific AutoNavi Holdings Limited China Mobile, Fujian Branch China Telecom, Fujian Branch Fujian Electronics & Information CO., LTD Fujian Motor Industry Group, CO., LTD Transportation Agencies Research Institutes Private companies
Beautiful Journey3. Data service and application • Fujian Dept. of Transportation • Fuzhou Traffic Police Detachment • Administration of Transportation • ...... • Traveler • Taxi • Private vehicle • Transit • ...... Transportation Big Data • Private sector, taxi firms, …
Beautiful Journey4. Data operation policy Enhance partners’ competitiveness in their own markets Improve traffic information service that make travel smarter Operation Dept. of Smart Information provision Research Institutes & Private companies Transportation Big Data Center Members Operation Dept. of Big data cloud-computing Center of Transportation big data mining
Beautiful Journey5. Transportation big data eco-system Insurance company 4S Stores • Streamline relation between data consumer and provider • Attract travelers, companies and research institutes • Use the data and service, in the meantime, produce data • Data producer = Data consumer • Socialized smart transportation Traffic police Travelers Transportation Agencies Logistic company Commerical drivers
Outline I Beautiful Journey II Transportation Big Data: Current Applications III Future work
Objectives: Real-time road information provision Decision support for transportation agencies Rich and user-orientated travel information. Challenges: Real-time computing platform of transportation big data from multiple sources; Big data mining and fusion algorithms and models; In-depth integration of e-commerce with big transportation data mining. Transportation Big Data: Current Applications
Key performance requirements Service response time:Non-safety-related service < 30s Safety-related service < 5s 2. Smart information provision:User-centric information 3. Information filter:False information < 0.5%,Low-value information < 5% Computation platform and applications: Distributed in-memory database for Transportation Big data analysis; Trajectory mining for driving and travel behavior analysis; Multi-source data fusion for false information detection and diagnose Transportation Big Data: Current Applications
Transportation Big Data: Current Applications • Collaborate with VMWare, Delland ESRI • Developed big data parallel computing platform based on in-memory database using NoSQL • Pilot study of real-time traffic information system
Transportation Big Data: Current Applications— New road identification
Transportation Big Data: Current Applications — Multi-source Congestion identification
Transportation Big Data: Current Applications — Trajectory Mining for Travel and driving behavior
Outline I Beautiful Journey II Transportation Big Data: Current Applications III Collaborations
Open and win-win Directions: Based on complementarity in data; Based on complementarity in hardware and software systems; Exchange of experiences and lessons Proposal Share non-confidential data; Jointly apply for Grants and Programs; Hosting symposiums on Big data in transportation Future Collaboration
The End Thank you!