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Author (s) | Year | Study location | Methods | Vehicles studied | Relevant key findings |
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Bingham et al. | 2012 | United Kingdom | Multimethod analysis of driving data | BEVs | Nonaggressive driving reduces BEV energy consumption; less acceleration and deceleration increase efficiency |
Brundell-Freij & Ericsson | 2005 | Sweden | Linear regression analysis | ICEVs | Traffic environment, driver, and car mass affect performance |
Ericsson | 2000 | Sweden | ANOVA | ICEVs | Street type has the highest impact on driving patterns; driving patterns vary with time of the day |
Ericsson et al. | 2006 | Sweden | Network analysis using Dijkstra algorithm | ICEVs | Route choice impacts efficiency due to differences in traffic patterns |
Faria et al. | 2013 | Portugal | Life-cycle assessment | ICEVs, PHEVs, & BEVs | Aggressive driving and climate control decrease vehicle efficiency |
Faria et al. | 2019 | Portugal | Multimethods approach; nonparametric testing | ICEVs | Road characteristics and driving behavior impact vehicle efficiency |
Fetene et al. | 2017 | Denmark | Regression analysis, parametric and nonparametric testing | BEVs | Road type does not affect BEV efficiency; BEV performance varies with weather conditions and driving behavior |
Fiori et al. | 2019 | Italy | Simulation analysis using different vehicle simulators | ICEVs, EVs | ICEVs and EVs consumption behavior differ with speed; EV energy consumption increases with speed |
Franke et al. | 2015 | Germany | Statistical sample comparison | BEVs | Eco-driving from ICEVs applicable to BEVs for increase in efficiency; experience increases eco-driving potential |
Galvin | 2017 | Germany | Simulation modeling and regression analysis | BEVs | BEV efficiency is lower in modest to high acceleration; BEV energy-optimal speed at approx. 37 mph |
Hallmark et al. | 2002 | U.S. | Linear regression analysis and regression tree analysis | ā | Various traffic characteristics and volume impact emission rates |
Jensen | 1995 | Denmark & Sweden | Regression analysis | ICEVs | Emission levels are impacted by ambient temperature and speed rather than road type |
Kurien et al. | 2020 | India | Simulation modeling | BEVs | The range potential of BEVs decreases with speed and slope |
Liu et al. | 2021 | China | Path modeling | BEVs | Avoidance of traffic can decrease BEV efficiency; BEVs are less efficient in lower temperatures and higher speeds |
Sivak & Schoettle | 2012 | ā | Literature review | ICEVs | Efficiency differs with route choice and ultimately the type of road |
Wu et al. | 2015 | U.S. | Energy consumption modeling | BEVs | BEVs more efficient during in-city driving than freeway driving |
Yao et al. | 2013 | China | Analysis of vehicle-specific power distribution | BEVs | BEV efficiency depends on the road type and speed; consumption on arterial roads is notably different |
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