This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Effects of Driver Acceleration Behavior on Fuel Consumption of City Buses
Technical Paper
2014-01-0389
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Approximately 50% energy is consumed during the acceleration of a city bus. Fuel consumption during acceleration is significantly affected by driving behavior. In this study, 13 characteristic parameters were selected to describe driving style based on analysis of how driving influences fuel consumption during acceleration. The 100,000 km real-world vehicle running data of six drivers on three city buses in a particular bus line in Tianjin, China were sampled using a vehicle-on-line data logger. Based on the selected characteristic parameters and collected driving data, an evaluation model of the fuel consumption level of a driver was established by adopting the method of decision tree C4.5. For two-level classification, the model has over 85% prediction accuracy. The model also has the advantages of having a few training samples and strong generalization. As an example of the model application, the fuel-saving potential of a driver under optimal operations was analyzed. Thus, the model can be used to train and evaluate drivers employed by bus companies.
Authors
Topic
Citation
Ma, H., Xie, H., Chen, S., Yan, Y. et al., "Effects of Driver Acceleration Behavior on Fuel Consumption of City Buses," SAE Technical Paper 2014-01-0389, 2014, https://doi.org/10.4271/2014-01-0389.Also In
References
- Sivak , M. , Schoettle , B. Eco-Driving: Strategic, Tactical, and Operational Decisions of the Driver that Improve Vehicle Fuel Economy Michigan the University of Michigan Transportation Research Institute 2011
- Gonder , J. , Earleywine , M. , and Sparks , W. Analyzing Vehicle Fuel Saving Opportunities through Intelligent Driver Feedback SAE Int. J. Passeng. Cars - Electron. Electr. Syst 5 2 450 461 2012 10.4271/2012-01-0494
- Yan Ying Study on the Energy Optimization of Multi-level Programming Algorithm for the Electric City Bus Ph.D. thesis School of Mechanical Engineering, Tianjin University Tianjin 2012
- Ericsson , E. Independent Driving Pattern Factors and Their Influence on Fuel-Use and Exhaust Emission Factors Transportation Research Part D: Transport and Environment 6 5 325 345 2001 10.1016/S1361-9209(01)00003-7
- Lee , T. and Son , J. Relationships between Driving Style and Fuel Consumption in Highway Driving SAE Technical Paper 2011-28-0051 2011 10.4271/2011-28-0051
- Delice , I. I. , Ertugrul S. Intelligent Modeling of Human Driver: A Survey Intelligent Vehicles Symposium 648 651 2007 IEEE 10.1109/IVS.2007.4290189
- Fabio C. , Junmin W. , Chinmaya B. P. , Ming-Feng H. et al. Development and Experimental Validation of a Control-Oriented Diesel Engine Model for Fuel Consumption and Brake Torque Predictions Mathematical and Computer Modelling of Dynamical Systems 7 3 261 277 2011 10.1080/13873954.2011.562902
- Yanbin S. , Guangyong Z. , Haie C. , Lei W. Transient Behavior Study of HD Diesel Engine and the Effects of Turbochargers Proceedings of the FISITA 2012 World Automotive Congress 190 1123 1132 2013 10.1007/978-3-642-33750-5_24
- Giakoumis , E.G. , Alafouzos , A.I. Study of Diesel Engine Performance and Emissions During a Transient Cycle Applying an Engine Mapping-Based Methodology Applied Energy 87 4 1358 1365 2010 10.1016/j.apenergy.2009.09.003
- Cheng , C. , McGordon , A. , Poxon , J.E.W. , Jones , R.P. et al. A Model to Investigate the Effects of Driver Behavior on Hybrid Vehicle Control 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition Proceedings China Nov. 5 9 2010
- Miyajima , C. , Nishiwaki , Y. , Ozawa , K. , Wakita , T. et al. Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification Proceedings of the IEEE 95 2 427 437 2007 10.1109/JPROC.2006.888405
- Shuguang , L. , Shigeyuki , Y. , Yoichi , S. , Yoshihiro , S. et al. Advanced driver assistant system using telematics the 7th IFAC Symposium on Advances in Automotive Control Tokyo Sep. 4 7 2013
- Shuguang , L. , Shigeyuki , Y. , Yoichi , S. Dominant Driving Operations in Curve Sections Differentiating Skilled and Unskilled Drivers FISITA 2012 World Automotive Congress Lecture Notes in Electrical Engineering 12 59 72 2013 10.1007/978-3-642-33838-0_6
- Quinlan , J.R. C4.5: Programs for Machine Learning Morgan kaufmann 1993
- Sandhiya , S. , Pavithra , P. , Vidhya , A. , Jegan , S. et al. Novel Approach for Heart Disease verdict Using Data Mining Technique International Journal of Modern Engineering Research 10 14 2013