Optimization of Engine Endurance Test Reports Using R and R Shiny

  • Srinidhi Kulkarni
  • Amit Shinde
  • Padma Dandannavar
  • Yogesh Deo
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)


Research and development is the driving force for the technological future of Mercedes-Benz and guaranties first-class products for its cars. The aim of this work includes innovation, future-oriented products and highly efficient development processes. This study involves visualization of Mercedes-Benz engine testing activities to validate various parameters like fuel consumption, vibration and noise, etc., and generate report templates as per requirements which include plotting charts using graphical packages in R. This process is automated using R shiny dashboard.


R shiny Data analysis Motorölstand Dygraph MikTeX GenData and FINAS 


  1. 1.
    Ricardo-AEA/R/ED59296 (2014) Data gathering and analysis to assess the impact of mileage on the cost effectiveness of the LDV CO2 regulations. Ricardo-AEA/R/ED59296/Issue Number 1Google Scholar
  2. 2.
    Naikan VNA, Kapur S (2006) Reliability modelling and analysis of automobile engine oil. Proc Inst Mech Eng Part D J Automob EngGoogle Scholar
  3. 3.
    Lopez G, Seaber A (2009) The theory and practice of race-vehicle data acquisition and analysis in motor-sports engineering education. American Society for Engineering EducationGoogle Scholar
  4. 4.
    Yao HX (2011) Instant fuel consumption test method and experimental analysis of EFI vehicle on the move. In: International conference on electric information and control engineering IEEEGoogle Scholar
  5. 5.
    Lo C-L, Chen C-H, Kuan T-S, Lo K-R, Cho H-J (2017) Fuel consumption estimation system and method with lower cost. Symmetry 9:105. Scholar
  6. 6.
    Yildirim H, Özsezen AN, Çınar A (2018) Vibration and noise depending upon engine speed in a diesel engine fueled with biodiesel. In: The 6th European conference on renewable energy systems, Istanbul, Turkey 25–27 JuneGoogle Scholar
  7. 7.
    Kan Z, Tang L, Kwan M-P, Zhang X (2018) Estimating vehicle fuel consumption and emissions using GPS big data. Int J Environ Res Public HealthGoogle Scholar
  8. 8.

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Srinidhi Kulkarni
    • 1
  • Amit Shinde
    • 2
  • Padma Dandannavar
    • 1
  • Yogesh Deo
    • 2
  1. 1.Department of Computer ScienceKLS Gogte Institute of TechnologyBelagaviIndia
  2. 2.Mercedes Benz Research and Development India Pvt. Ltd.PuneIndia

Personalised recommendations