This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Effects of an On-Board Safety Device on the Emissions and Fuel Consumption of a Light Duty Vehicle
Technical Paper
2018-01-1821
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Vehicle emissions and fuel consumption are significantly affected by driving behavior. Many studies of eco-driving technology such as eco-driving training, driving simulators and on-board eco-driving devices have reported potential reductions in emissions and fuel consumption. Use of on-board safety devices is mainly for safety, but also affects vehicle emissions and fuel consumption. In this study, an on-board safety device was installed to alert the driver and provide several types of warning to the driver (e.g. headway monitoring warning, lane collision warning, speed limit warning, etc.) to improve driving behavior. A portable emissions measurement system (PEMS) was used to measure vehicle exhaust concentrations, including hydrocarbons (HC), carbon monoxide (CO), carbon dioxide (CO2) and nitrogen oxides (NOx). The driving parameters including vehicle speed, acceleration and position were also recorded. A specific test route was designed for the experiment to investigate both urban and highway conditions. The driving parameters and emissions data were compared before and after the installation of the on-board safety device with the same driver. The Vehicle Specific Power (VSP) methodology was applied to evaluate the effects of the on-board safety device on driving behavior. The results indicated that the device had a positive effect on the driver’s driving behavior. The percentage of time spent on excessive speeding and strong acceleration decreased from 22.2% to 14.7%. As a result, an average reduction of 25% in fuel consumption was observed. In addition, HC, CO2 and NOx emissions showed a reduction of 57%, 25% and 9% respectively. However, CO emission was increased and the time spent on idling showed no change with the installation of the device.
Recommended Content
Journal Article | Design and Implementation of a Hybrid Fuzzy-Reinforcement Learning Algorithm for Driver Drowsiness Detection Using a Driving Simulator |
Authors
Topic
Citation
Ng, C., Huang, Y., Hong, G., Zhou, J. et al., "Effects of an On-Board Safety Device on the Emissions and Fuel Consumption of a Light Duty Vehicle," SAE Technical Paper 2018-01-1821, 2018, https://doi.org/10.4271/2018-01-1821.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 | ||
Unnamed Dataset 4 | ||
Unnamed Dataset 5 | ||
Unnamed Dataset 6 | ||
Unnamed Dataset 7 |
Also In
References
- Nocera , S. and Cavallaro , F. Policy Effectiveness for Containing CO2 Emissions in Transportation Procedia Social and Behavioral Sciences 20 703 713 2011
- Lautso , K. et al. 2004
- Atkinson , R. et al. The Impact of the Congestion Charging Scheme on Ambient Air Pollution Concentrations in London Atmospheric Environment 43 5493 5500 2009
- Ning , Z. , Wubulihairen , M. , and Yang , F. PM, NOx and Butane Emissions from On-Road Vehicle Fleets in Hong Kong and Their Implications on Emission Control Policy Atmospheric Environment 61 Supplement C 265 274 2012
- Huang , Y. et al. Eco-Driving Technology for Sustainable Road Transport: A Review Renewable and Sustainable Energy Reviews 93 596 609 2018
- Alam , M. and McNabola , A. A Critical Review and Assessment of Eco-Driving Policy & Technology: Benefits & Limitations Transport Policy 35 Supplement C 42 49 2014
- Sivak , M. and Schoettle , B. Eco-Driving: Strategic, Tactical, and Operational Decisions of the Driver That Influence Vehicle Fuel Economy Transport Policy 22 Supplement C 96 99 2012
- Imaizumi , H. and Sengoku , K. Estimation of CO2 Reduction Potential in Japan by Traffic-Flow Smoothing and Eco-Driving Promotion SAE Technical Paper 2013-01-0621 2013 10.4271/2013-01-0621
- Beusen , B. et al. Using on-Board Logging Devices to Study the Longer-Term Impact of an Eco-Driving Course Transportation Research Part D: Transport and Environment 14 7 514 520 2009
- Orfila , O. , Pierre , G. , and Messias , M. An Android Based Ecodriving Assistance System to Improve Safety and Efficiency of Internal Combustion Engine Passenger Cars Transportation Research Part C: Emerging Technologies 58 Part D 772 782 2015
- Dijksterhuis , C. et al. The Impact of Immediate or Delayed Feedback on Driving Behaviour in a Simulated Pay-As-You-Drive System Accident Analysis & Prevention 75 Supplement C 93 104 2015
- Transport Department Table 4.4: Registration and Licensing of Vehicles by Fuel Type (April 2017) 2018 http://www.td.gov.hk/filemanager/en/content_4855/table44.pdf
- Huang , Y. et al. Emission Measurement of Diesel Vehicles in Hong Kong through On-Road Remote Sensing: Performance Review and Identification of High-Emitters Environmental Pollution 237 133 142 2018
- Vaezipour , A. , Rakotonirainy , A. , and Haworth , N. Reviewing In-Vehicle Systems to Improve Fuel Efficiency and Road Safety Procedia Manufacturing 3 3192 3199 2015
- Alzaman , C. Impact of Optimisation on Idle Time’s Fuel Consumption and CO2 Emissions in Urban Transportation Int. J. Business Performance and Supply Chain Modelling 8 2 157 179 2016
- Frey , H. , Rouphail , N. , and Zhai , H. 128 137 2006
- José , J.-P. 1999
- Rolim , C. et al. Impacts of On-Board Devices and Training on Light Duty Vehicle Driving Behavior Procedia - Social and Behavioral Sciences 111 711 720 2014
- Gallus , J. et al. Impact of Driving Style and Road Grade on Gaseous Exhaust Emissions of Passenger Vehicles Measured by a Portable Emission Measurement System (PEMS) Transportation Research Part D 52 215 226 2017
- Burke , R. , Brace , C. , and Hawley , J. Critical Evaluation of On-Engine Fuel Consumption Measurement Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 225 6 829 844 2011