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Telescience WG, PRAGMA 14 March 2008, Taichung, TW

Initial Results of a Camera-based Traffic Emissions Estimation System for Konkuk University Complex Testbed. J.H. Woo , E.I. Kim, S.B. Lim, Y. Sunwoo , K.H. Hong, Y.J. Kim, K.Y. Chung, Y.R. Kim, Y.H. Choi , H Jeong , N.H. Cho. Telescience WG, PRAGMA 14 March 2008, Taichung, TW.

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Telescience WG, PRAGMA 14 March 2008, Taichung, TW

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  1. Initial Results of a Camera-based Traffic Emissions Estimation System for Konkuk University Complex Testbed J.H. Woo, E.I. Kim, S.B. Lim, Y. Sunwoo, K.H. Hong, Y.J. Kim, K.Y. Chung, Y.R. Kim, Y.H. Choi, H Jeong, N.H. Cho Telescience WG, PRAGMA 14 March 2008, Taichung, TW Department of Advance Technology Fusion Konkuk University, Seoul, Korea

  2. Research Team Jung-Hun Woo - Yoo-Jung Kim - Nam-Ho Cho Eun-Yi Kim - Ki-YeongJeong - Yoon-Hee Shin iET iIT Sang-Beom Lim -You-Lin Jin Ki-Ho Hong

  3. Background

  4. U-City Background • U-City is Korea’s vision or strategy for future city and knowledge industry, based onadvanced ICT infrastructures • In a “ubiquitous city”, various types of computer/sensors and information systems are built into houses, office buildings, streets; make them connected and their services (residential, medical, business, governmental) available in a ubiquitous and integrated way • U-Services : Anytime, Anywhere • Need-base Services • Need Testbeds

  5. Security Anti-disaster Health care & Medical care Fire alarm, Seismograph, Flood, Fall down (Penetration, Distortion, Temperature, Bright, Vibration,…) Healthcare, Emergencycare (Physical condition action,…) Disaster monitoring Fire, Collapsed or Liquidized Soil (Temperature, Smoke, Foundation, …) u-City Infrastructure Others Apps Weather, Water quality, Shopping Management of growth, Position chase, Machine Condition (Position, Tempuature, Humidity …) Air pollution, Vibration, Posionous Gas (SOx, NOx, Dust, Distortion, ….) Physical distribution, Logistic, Quality (Temperature, Humidity, …) Environmental Risk Management Tracking Agriculture

  6. Our testbed Konkuk University Complex • Components : Starcity(Residential & Commercial), Classic500 (Senior Housing), KU Hospital (KUH), KU Main Campus(KUMC) • Starcity • - Residential : 1310 Condos (58 floors max.) • - Commercial : Multiplex theater, Supermarkets, Mall Area, • Restaurants • Classic500 • - Residential : 500 Senior Apartments • - Under Construction • KU Hospital • - 870-bed, 83,000 m2, 13 flrs + 4 flrs (underground) • - 31 units with 4 major specialized centers • (Outpatient dept) • KU Main Campus • - 20,000 students(incl. 2,000 grads), 589 full-time, and • 864 part-time faculty. 12 grad schools and 16 colleges • (86 depts and 33 research institutes) • - about 1km2 area (incl. a lake)

  7. Weather Monitoring by AWS Weather Station (AWS) Elevated Meteorology (60th FL) Weather Station (AWS) Surface Meteorology Starcity (Res)

  8. Air Quality Monitoring (NOx, PM10) AQ Monitoring Station Surface Air Quality AQ Monitoring Station Elevated Meteorology Starcity (Res)

  9. Air Quality Monitors

  10. Traffic Monitoring by Webcam Car : Volume by Types Emissions (MOBILE model) People : Volume Impact

  11. 1st Year Research

  12. 1st year research purpose and research flow

  13. Camera-based Traffic Parameters Estimation

  14. Camera-based Traffic Parameter Estimation • Our goal is to develop an automatic traffic monitoring system to estimate important traffic parameters from video sequences using only one camera • Traffic density • Average vehicle velocity • Vehicle type  number of vehicles • System Architecture • Client : Network Camera • Resolution : 320×240, 30 frame/sec • Format : MPEG-4 standard • Server : PC • Vision system

  15. Camera monitoring install sites 4th 08.02.11 5th 08.02.11~08.2.29 2nd 08.01.15 1st 08.01.10~08.01.12 3rd 08.01.18~08.01.21

  16. Camera-based Traffic Parameter Estimation • Three major stages to estimate desired traffic parameters • Background estimation • Density estimation • Velocity estimation • Number of vehicles estimation

  17. Input Video Streaming t t+∆ L = 3m

  18. Background Estimation • The background color is estimated by looking at consecutive frames in the image sequence • The color value that occurred most often is chosen to be the background value at that point.

  19. Results

  20. Realtimeonroad mobile source emissions estimation using measured traffic parameters

  21. Emissions Estimation

  22. Hourly VKT by vehicle types Distribution of vehicle type Traffic parameter & hourly VKT Data from Camera based Traffic Parameter Estimation Data from Seoul registered vehicle in Jan. 2008 Hourly VKT by distribution of vehicle types

  23. Emissions by hour, pollutants, vehicle types Revised emission factor Data from CAPSS Hourly VKT by vehicle type Emissions by hour, pollutants, vehicle types

  24. Distributed data management and service

  25. Distributed Data Management and Service • Our goal is to develop an distributed data management & delivery service in camera base emissions monitoring system • 1st year research goal • To design distributed data management and delivery service for emissions monitoring testbed • To visualize short term test data in support of design and implementation of web-based user interface • 1st year research results • Distributed data management & delivery service design • Web-based chart and data analysis results through designed UI

  26. Distributed Data Management and Service NB Topic NB Topic NB Topic Structure Design FinalData process U1 K1 NB Sub NB Sub U1 K1 NB Pub NB Pub Estimation for air pollutants emissions Module U2 K2 Camera data stream convert Module Traffic parameter estimation Module K3 U3 NB Sub NB Sub U2 K2 NB Pub NB Pub KN UN ASF per-second25frame JPG NB Pub NB Sub NB Sub K3 U3 NB Pub NB Pub NB Sub NB Sub UN KN NB Pub NB Pub Pub Live track 0 Pub Live track 0 K1 Live track 0 K1 Live track 0 K2 Dead track 0 K2 Dead track 0 Management Management K3 Busy track 0 K3 Busy track 0 KN Dead track 0 KN Dead track 0 JPG DB XML Data pair NB Pub NaradaBrokering publisher NB Sub NaradaBrokering subscriber NB Topic NaradaBrokering Topic

  27. Web-Based Charts of Environmental Data • Analysis charts service • Emissions Monitoring • Air Quality Monitoring • Meteorology Data Http://117.16.146.61:8888/joomla

  28. Examples of Emission Monitoring The street of Konkuk University front door emissions monitoring test data analysis results : Feb.19 ~20, 2008 PM10 emission VOC emission

  29. Examples of Air QualityMonitoring The street of Konkuk University front door air quality monitoring test data analysis results : Feb.19 ~20, 2008 SO2 PM10

  30. Examples of Meteorology Data ChenHo-Dong(KangDong-Gu, Seoul) meteorology data test analysis results : Feb.11~12, 2008 Wind speed Temperature

  31. Future Improvements • Shadow elimination • Vehicle classification • Vehicle tracking • Camera based traffic • parameters estimation • Real time emissions estimation by measured vehicle-fuel types • Meteorological data monitoring • Air quality data monitoring • Real time onroad mobile • source emissions estimation • using measured traffic • parameters • Distributed data • management & • delivery service • Automated data transfer implementation • Data model, management, and service • implementation

  32. Relation to PRAGMA & Workgroup Meetings • Idea initiation • Pilot implementation • Idea expansion • Seed project • Full-scale projects • Related-projects : : Introductory Fusion Course & Technology Fusion Project (2007. 3~6) • Fusion Idea/work • evolution : Techno-Fair, KonkukUniv (2007. 5) : PRAGMA (2007. 9), u-Ecocity Workshop (2007.11) : BK21 Internal Project, KonkukUniv(2007. 11) : Construction u-City of Seoul by Future Foresight Analysis(2007. 12) • - National Cyberinfrastructure Project for Construction Research (2007. 9) • - Development of artifical intelligence air quality control and management system for subway stations and tunnels (2007. 12) • Air quality assessment/prediction • Sensor-based air quality monitoring • Camera-based pollutant emissions monitoring • Urban Geography consideration • Policy+Science+Technology (Enviro + IT fusion) • Related Components

  33. Constructing u-City of Seoul by Future Foresight Analysis Building u-City infrastructure for future Seoul Sub-project1 Sub-project2 Sub-project3 Plus… Industrial partners : Lukis Metabuild Genosystem Soltlux Kosec Construction of citizen-friendly city of Seoul from foresight analysis and public needs survey. Development of necessary policies Distributed air monitoring and modeling system USN-based service development Ontology development in support of u-City service SKK Univ. Konkuk Univ. Univ. of Seoul 2.5 million USD for Five Years (2007~2012) from Seoul Metropolitan Government

  34. System Flow Scheme I think it’s okay In this area • Air Quality Monitoring • Air Quality Modeling • Connect with other servies MAMS • Open data services • User-based data services Open Data ServicesMiddle-ware How is air quality around us? Sharing Data Respository • Ask Monitoring Sensor Data Conversion • Standardization • Expansion • 등록 • Register Sensors • Collect monitoring data

  35. Dispersion of Pollutant : CFD Model MAMS (Microscale Air Management System) Cheonggye Stream Micro-scale Air Quality Modeling 3D Building GIS map is being established

  36. 대기 환경 모니터링을 위한 시각화 시스템 AirScope http://vr.konkuk.ac.kr/subpages/airscope/ • Proceed project and Data Services • Share Information in domestic & Abraod

  37. Thank you for your attention

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