This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
EcoRouting Strategy Using Variable Acceleration Rate Synthesis Methodology
Technical Paper
2018-01-5005
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
Automotive Technical Papers
Language:
English
Abstract
This paper focuses on the analysis of an EcoRouting system with minimum and maximum number of conditional stops. The effect on energy consumption with the presence and absence of road-grade information along a route is also studied. An EcoRouting system has been developed that takes in map information and converts it to a graph of nodes containing route information such as speed limits, stop lights, stop signs and road grade. A variable acceleration rate synthesis methodology is also introduced in this paper that takes into consideration distance, acceleration, cruise speed and jerk rate as inputs to simulate driver behavior on a given route. A simulation study is conducted in the town of Blacksburg, Virginia, USA to analyze the effects of EcoRouting in different driving conditions and to examine the effects of road grade and stop lights on energy consumption. The results show that the synthesis with a piecewise jerk model simulates better driver behavior over a route and removes the hurdles associated with a piecewise acceleration model. The EcoRoute solution is found to vary with the information given to the input of the variable acceleration rate model. The synthesis and the results that are obtained show that external parameters affect the overall energy consumption of a vehicle and how EcoRouting can significantly reduce vehicle energy consumption.
Authors
Topic
Citation
Warpe, H., Moniot, M., Nelson, D., and Baumann, W., "EcoRouting Strategy Using Variable Acceleration Rate Synthesis Methodology," SAE Technical Paper 2018-01-5005, 2018, https://doi.org/10.4271/2018-01-5005.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 |
Also In
References
- Nealon , S. UCR Today 2014 http://ucrtoday.ucr.edu/24361 2017
- Kyoungho , A. and Rakha , H.A. Network-Wide Impacts of Eco-Routing Strategies: A Large-Scale Case Study Transportation Research Part D: Transport and Environment 25 1361-9209 119 130 2013
- Ahn , K. and Rakha , H. The Effects of Route Choice Decision on Vehicle Energy Consumption and Emissions Transportation Research Part D Transport and Environment 13 3 151 167 2008
- Demestichas , K. , Masikos , M. , Adamopoulou , E. , Dreher , S. , and Diaz de Arkaya , A. Machine-Learning Methodology for Energy Efficient Routing IET Intelligent Transport Systems 8 3 255 226 2014
- Richter , M. , Zinser , S. , and Kabza , H. Comparison of Eco and Time Efficient Routing of ICEVs, BEVs and PHEVs in Inner City Traffic Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE Seoul 2012 1165 1169
- Mackanic , D. , Marquez , E. , Dennington , J. , McClean , J. et al. Development of a Software-in-the-Loop Model for a Parallel Plug-In Hybrid Electric Vehicle SAE Technical Paper 2016-01-1255 2016 10.4271/2016-01-1255
- Ericsson , E. , Larsson , H. , and Brundell-Freij , K. Optimizing Route Choice for Lowest Fuel Consumption-Potential Effects of a New Driver Support Tool Transportation Research Part C: Emerging Technologies 14 6 369 383 2006
- Wisniewski , D.T. and Shaout , A.K. Fuzzy Logic for Regen Enhanced Eco-Routing of Automobiles International Arab Conference on Information Technology Libya 2010
- Leblank , D.J. et al. 2010
- Tamaro , C. 2016
- Long , G. Acceleration Characteristics of Starting Vehicles Transportation Research Record: J. Transportation Research Board 1737 00 58 70 2000
- Moniot , M. and Nelson , D.
- Baul , P. , Tamaro , C. , Warpe , H. , Baumann , W. et al. EcoRouting for Performance Plug-In Hybrid Electric Vehicles SAE Technical Paper 2016-01-2219 2016 10.4271/2016-01-2219
- National Highway Traffic Safety Administration (NHTSA), and Environmental Protection Agency (EPA) 2017-2025 Model Year Light-Duty Vehicle GHG Emissions and CAFE Standards: Supplemental Notice of Intent Federal Register 76 153 2011 https://www.nhtsa.gov/staticfiles/rulemaking/pdf/cafe/CAFE_2017-25_Fact_Sheet.pdf
- Edelstein , S. Green-Car Decline: Combined Hybrid, Electric Sales Started Falling Last June http://www.greencarreports.com/news/1098184_green-car-decline-combined-hybrid-electric-sales-started-falling-last-june
- Watts , W. Market Watch 2015 http://www.marketwatch.com/story/why-gas-prices-are-rising-as-oil-falls-to-6-year-lows-2015-08-15
- Blanco , S. Auto Blog 2015 http://www.autoblog.com/2015/07/01/nissan-leaf-chevy-volt-both-down-june/
- Services developed by The Heidelberg Institute for Geoinformation Technology http://www.openrouteservice.org/
- Maintained by OpenStreetMap Foundation http://www.openstreetmap.org
- Open source website developed by Adam Schneider, adamschneider.net http://www.gpsvisualizer.com/
- Defense Mapping Agency 1987 https://commons.wikimedia.org/wiki/File:WGS_84_reference_frame.png#
- Wikipedia Foundation Inc. https://en.wikipedia.org/wiki/Yen%27s_algorithm
- Garmin International Ltd Garmin Mechanic with EcoRoute HD 2015 https://buy.garmin.com/en-US/US/shop-by-accessories/ecoroute-services/garmin-mechanic-with-ecoroute-hd/prod38354.html 2017
- Nissan Deutschland NISSAN LEAF: Carwings Eco Routing 2014 https://www.youtube.com/watch?v=4TetYjhGHXY 2014
- Klauer , S. , Dingus , T. , Neale , V. , Sudweeks , J. et al. 2006
- Maintained by United States Department of Energy http://www.afdc.energy.gov/data/10301
- Motavalli , J. New York Times 2010 http://wheels.blogs.nytimes.com/2010/04/16/ford-eco-route-the-most-fuel-efficient-path-from-a-to-b/
- Zohdy , I. , Kamalanathsharma , R.K. , and Rakha , H. Intersection Management for Autonomous Vehicles Using Cooperative Adaptive Cruise Control Systems Transportation Research Board 92nd Annual Meeting Washington, DC 2013
- De Nunzio , G. , Thibault , L. , and Sciarretta , A. Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference 2016
- Group-HERE Technologies https://www.here.com/en