DOI QR코드

DOI QR Code

EcoMon: A System for Monitoring Eco-Driving

EcoMon: 에코 드라이빙 모니터링 시스템

  • Han, Dongho (Computer Science & Engineering Major, Graduate School, Hankuk University of Foreign Studies) ;
  • Kim, Sangchul (Department of Computer Science & Engineering, Hankuk University of Foreign Studies)
  • 한동호 (한국외국어대학교 대학원 컴퓨터공학전공) ;
  • 김상철 (한국외국어대학교 컴퓨터공학과)
  • Received : 2014.06.25
  • Accepted : 2014.11.06
  • Published : 2014.11.30

Abstract

Since the advent of global warming and energy depletion, there has been great interest in eco-driving (energy-efficient driving). In this paper, a system is proposed to monitor the idle running of an engine and steady driving for a vehicle equipped with an ISG (Idling Stop & Go system). The system consists of a G/W device to acquire the vehicle operation data, a smartphone app for monitoring eco-driving and a server system. The main contribution of this paper is that it defines the integrated functions, the architecture and operation mechanisms of a system for monitoring eco-driving including the prohibition of running idle. The system enables the users to check the idling stop times, driving speeds, fuel savings, and $CO_2$ emissions, resulting in the driving style for eco-driving. The server system, which is a part of this system, provides OpenAPI-style web services for the storage and retrieval of car operation data, which facilitates the development of applications.

최근 지구 온난화와 에너지 고갈 문제가 심각해지면서, 차량의 에코 드라이빙 (에너지 절약형 운행)에 대한 관심이 높다. 본 논문에서는 ISG(공회전 제한 장치)가 장착된 차량의 공회전 제한 사용과 정속 운전을 모니터링하는 시스템을 제안한다. 본 시스템은 차량 운행 정보 수집용 G/W 장치, 에코 드라이빙 모니터링용 스마트폰 앱 및 서버 시스템으로 구성된다. 본 논문의 주요 기여는 공회전 제한을 포함하는 에코 드라이빙의 모니터링 시스템이 제공해야 할 통합적인 기능, 구조 및 동작 원리를 정의한 것이다. 본 시스템을 통해 사용자는 공회전 제한 시간, 운전 속도, 연료 절감량, CO2 배출량 등을 확인해 봄으로써, 에코 드라이빙을 실천하는 좋은 운전 습관을 가지게 될 것이다. 서버 시스템은 운행 정보를 저장 또는 조회하는 기능을 OpenAPI 형태의 웹 서비스로 제공하여, 다양한 응용들을 쉽게 개발할 수 있는 환경을 제공한다.

Keywords

References

  1. Mckinsey & Company, Inc: Roads toward a low-carbon future: Reducing CO2 emissions from passenger vehicles in the global road transportation system, 2009.
  2. Roy T. Fielding, Richard N. Taylor, "Principled design of the modern Web architecture", ACM Transactions on Internet Technology, Vol. 2, No. 2, pp.115-150, 2002. DOI: http://dx.doi.org/10.1145/514183.514185
  3. S. Lee, Han D. S. Kim, "A Car Driving Data Server for Monitoring the Energy-Efficient Driving", Journal of Information Industrial Engineering, HUFS, Vol. 23, pp.266-276, 2014.
  4. E. Rogado, J. Garcia, R. Barea, L. Bergasa and E. Lopez, "Driving Fatigue Detection System", Proc. of IEEE Int. Conf. on Robotics and Biomimetics, pp.1105-1110, 2009. DOI: http://dx.doi.org/10.1109/ROBIO.2009.4913155
  5. Kevin C. Baldwin, Donald D. Duncan, and Sheila K. West, "The Driver Monitor System: A Means of Assessing Driver Performance", JOHNS HOPKINS APL TECHNICAL DIGEST, VOLUME 25, NUMBER 3, pp.269-273, 2004.
  6. J. Kaminski, D. Knaan, and A. Shavit, "Single image face orientation and gaze detection," March. Vis. Appl. 21, pp.85-98, 2009. DOI: http://dx.doi.org/10.1007/s00138-008-0143-1
  7. Bing-Fei Wu, Ying-Han Chen, Chung-Hsuan Yeh, "Fuzzy Logic Based Driving Behavior Monitoring using Hidden Markov Models", Proc. of 12th International conference on ITS Telecommunication, pp.447-451, 2012.
  8. T. Preben, "Positive side effects of an economical driving style: Safety emissions, noise, costs, EcoDrive Conference proceedings, Graz, Austria, pp.68-71, 1999.
  9. T. Lee. and J. Son, "Relationships between driving style and fuel consumption in highway driving", 16th Asia Pacific Automotive Engineering Conference, October, 2011, pp.100-110.
  10. Cindie Andrieu and Guillaume Saint Pierre, "Using statistical models to characterize eco-driving style with an aggregated indicator", 2012 Intelligent Vehicles Symposium, Alcala de Henares, Spain, pp.63-68, 2012.
  11. Ryosuke Ando, Yasuhide Nishihori, Yasuhide Nishihori, Daisuke Ochi, Development of a System to Promote Eco-Driving and Safe-Driving, Lecture Notes in Computer Science, Vol. 6294, pp.207-218, Springer-Verlag, 2010. DOI: http://dx.doi.org/10.1007/978-3-642-14891-0_19
  12. T. Lee, S. Park, and J. Son, "Drive-Vehicle-Environment Monitoring Platforms for Fuel Efficiency Assessment", 7th International conference on Electronics and Computer, pp.106-110, 2010.
  13. N. Buonaccorsi1, C. Cicconetti1, R. Mambrini1, Nick Podias2, Paul Russell2, ETSI M2M Release 1 Demonstration, IEEE. DOI: http://doi.ieeecomputersociety.org/10.1109/WoWMoM.2012.6263731
  14. JMETER, http://jmeter.apache.org/