This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
A Driver Assistance System for Improving Commercial Vehicle Fuel Economy
Technical Paper
2013-26-0018
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Commercial vehicle operators and governments around the world are looking for ways to cut down on fuel consumption for economic and environmental reasons. Two main factors affecting the fuel consumption of a vehicle are the drive route and the driver behavior. The drive route can be specified by information such as speed limit, road grade, road curvature, traffic etc. The driver behavior, on the other hand, is difficult to classify and can be responsible for as much as 35% variation in fuel consumption. In this work, nearly 600,000 miles of drive data is utilized to identify driving behaviors that significantly affect fuel consumption. Based on this analysis, driving scenarios and related driver behaviors are identified that result in the most efficient vehicle operation. A driver assistance system is presented in this paper that assists the driver in driving more efficiently by issuing scenario specific advice. In addition, if need be, the system can limit the maximum throttle request based on the identified scenario. Such a system utilizes information obtained from on-board sensors, digital maps, vehicle-to-vehicle communication systems, and/or vehicle-to-infrastructure communication systems to identify driving scenarios. Simulation results are presented that demonstrate fuel savings in one specific scenario.
Recommended Content
Authors
Topic
Citation
Verma, R., Nahar, N., Tang, Z., and Saltsman, B., "A Driver Assistance System for Improving Commercial Vehicle Fuel Economy," SAE Technical Paper 2013-26-0018, 2013, https://doi.org/10.4271/2013-26-0018.Also In
References
- Davis S , Diegel S and Boundy R Transportation Energy Databook US DoE 29 2010
- Smartway Transport Glance at Clean Freight Strategies Driver Training US EPA 2002
- U.S. EPA and NRCan Official Signing of the Memorandum of Understanding and Licensing Agreement: Fact Sheet, EPA420-F-05-041 September 2005
- Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles Transportation Research Board, National Academy 2010
- Integrated Vehicle Based Safety Systems Program http://www.its.dot.gov/ivbss/
- Jenness J , Singer J , Walrath J and Lubar E Fuel Economy Driver Interfaces: Design Range and Driver Opinions Technical Report, DOT HS 811092 2009
- Manzie C , Watson H and Halgamuge S Fuel Economy Improvements for Urban Driving: Hybrid vs. Intelligent Vehicles Transportation Research, Part C 15 1 16 2007
- Hellstrom E , Ivarsson M , Aslund J and Nielson L. Look-Ahead Control for Heavy Trucks to Minimize Trip Time and Fuel Consumption Control Engineering Practice 17 245 254 2009
- Huang W , Bevly D , Schnick S and Li X Using 3D Road Geometry to Optimize Heavy Truck Fuel Efficiency Proceeding of the 11th IEEE International Conference on Intelligent Transportation Systems Beijing, China October 2008
- Kohut N , Hedrick K and Borrelli F Integrating Traffic Data and Model Predictive Control to Improve Fuel Economy 12th IFAC Symposium on Transportation Systems Redondo Beach, CA September 2009
- Domin , C. Enabling Safety and Mobility through Connectivity SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 3 2 90 98 2010 10.4271/2010-01-2318
- Sayer J et al Integrated Vehicle-Based Safety Systems Heavy-Truck Field Operational Test Key Findings Report U. S. Department of Transportation report DOT HS 811 362 Washington, D.C. August 2010
- http://www.truckinginfo.com/news/news-detail.asp?news_id=70884
- Tang Z , Saltsman B , Halbe O , Patil A and Nowak M Intelligent Driver Assistance Systems Toward Greener and More Efficient Commercial Vehicles 18th World Congress on Intelligent Transport Systems Orlando, FL October 2011