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Journal ArticleDOI

Implications of driving style and road grade for accurate vehicle activity data and emissions estimates

TLDR
In this paper, real-world vehicle operating mode data (2.5 million 1-Hz records) collected by instrumenting the vehicles of 82 volunteer drivers with OBD datalogger and GPS while they drove their routine travel routes, were analyzed to quantify vehicle emissions estimate errors due to road grade and driving style in rural, hilly Vermont.
Abstract
Real-world vehicle operating mode data (2.5 million 1 Hz records), collected by instrumenting the vehicles of 82 volunteer drivers with OBD datalogger and GPS while they drove their routine travel routes, were analyzed to quantify vehicle emissions estimate errors due to road grade and driving style in rural, hilly Vermont. Data were collected in winter and summer for MY 1996 and newer passenger cars and trucks only. EPA MOVES2010b was used to estimate running exhaust emissions associated with measured vehicle activity. Changes in vehicle specific power (VSP) and MOVES operating mode (OpMode) due to proper accounting for real-world road grade indicated emission rate errors between 10% and 48%, depending on pollutant, chiefly because grade-related changes in VSP could shift activity by as many as six OpModes, depending on road type. The correct MOVES OpMode assignment was made only 33–55% of the time when road grade was not included in the VSP calculation. Driving style of individual drivers was difficult to assess due to unknown traffic operations data, but the largest differences between individual drivers were observed on rural restricted roads, where traffic conditions and control have minimal impact. The results suggest the importance of (1) measuring and incorporating real-world road grade in order to correctly assign MOVES emission rates; and (2) developing a driving style typology to account for differences in the MOVES emissions estimates due to driver variability.

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Citations
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Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges

TL;DR: In this article, the authors investigated the effect of vehicle design, driver, and environment on the range prediction of electric vehicles (EVs) and identified future research and development directions in the EV research field, resulting in massive future and immediate EV penetration in the automotive market.
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Trends in onroad transportation energy and emissions.

TL;DR: Fossil fuels are likely to continue to be the major source of on-road vehicle energy consumption and fuel economy and emission standards are generally effective in achieving reductions per unit of vehicle activity, however, the number of vehicles and miles traveled will increase.
Journal ArticleDOI

A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions

TL;DR: An energy consumption prediction method for EVs, designed for energy-efficient routing, that allows for prediction of energy consumption over any route in the road network prior to departure, and enables cost-optimization algorithms to calculate energy efficient routes.
Journal ArticleDOI

An online estimation of driving style using data-dependent pointer model

TL;DR: Results of the driving style detection in real measurements and comparison with the theoretical counterparts are demonstrated.
Journal ArticleDOI

How do road grade, road type and driving aggressiveness impact vehicle fuel consumption? Assessing potential fuel savings in Lisbon, Portugal

TL;DR: In this paper, the authors assess how driving aggressiveness is influenced by the type of road and by the road grade, and consequently their impacts on fuel consumption, and demonstrate that aggressiveness influences fuel consumption differently across road grades.
References
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Journal ArticleDOI

Energy and emissions impacts of a freeway-based dynamic eco-driving system

TL;DR: This study investigated the concept of dynamic eco-driving, where advice is given in real-time to drivers changing traffic conditions in the vehicle's vicinity, and found that in general, higher percentage reductions in fuel consumption and CO2 emission occur during severe compared to less congested scenarios.
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Fuel use and emissions comparisons for alternative routes, time of day, road grade, and vehicles based on in-use measurements.

TL;DR: The results demonstrate that alternative routing can significantly impact trip emissions and vehicle-specific models are needed to capture episodic effects of emissions for near-road short-term human exposure assessment.
Journal ArticleDOI

Impacts of Road Grade on Fuel Consumption and Carbon Dioxide Emissions Evidenced by Use of Advanced Navigation Systems

TL;DR: In this article, the authors evaluated the effect of road grade on vehicle fuel consumption (and thus carbon dioxide [CO2] emissions) and showed that road grade does have significant effects on the fuel economy of lig...
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Characterizing the effects of driver variability on real-world vehicle emissions

TL;DR: In this article, the authors conducted a field study on 24 drivers in a single vehicle on a specified route under low traffic conditions using on-board exhaust emission and engine operating data analyzers and tested for statistically significant differences in CO and NOx emissions between drivers.
Journal ArticleDOI

Road grade estimation for on-road vehicle emissions modeling using light detection and ranging data.

TL;DR: LIDAR data are shown to be reliable and accurate for road grade estimation for vehicle emissions modeling and demonstrated via a case study using PEMS data collected in the Research Triangle Park, NC, area.
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