Research graph
References from Real-driving CO2, NOx and fuel consumption estimation using machine learning approaches. Local targets link to admitted publications; unresolved targets remain external evidence.
Multicollinearity
10.1002/wics.84 · 2010 · External reference
Analysis and modelling of the pollutant emissions from European cars regarding the driving characteristics and test cycles
10.1016/j.atmosenv.2008.03.013 · 2009 · External reference
Reducing fuel consumption and carbon emissions through eco-drive training
10.1016/j.trf.2017.01.006 · 2017 · External reference
Unresolved reference
External reference
Effects of eco-drive education on the reduction of fuel consumption and CO2 emissions
10.7307/ptt.v25i3.1260 · 2013 · External reference
Unresolved reference
External reference
Modeling of aircraft fuel consumption using machine learning algorithms
10.1007/s13272-019-00422-0 · 2020 · External reference
Regression diagnostics: identifying influential data and sources of collinearity
1980 · External reference
An introduction to statistical learning from a regression perspective
2010 · External reference
On-road NOx emissions of a modern commercial light-duty diesel vehicle using a blend of tyre oil and diesel
10.1016/j.egyr.2019.03.002 · 2019 · External reference
Rerouting urban construction transport flows to avoid air pollution hotspots
10.1016/j.trd.2023.103747 · 2023 · External reference
Evaluating on-board sensing-based nitrogen oxides (NOx) emissions from a heavy-duty diesel truck in China
10.1016/j.atmosenv.2019.116908 · 2019 · External reference
Unresolved reference
External reference
Environmental effects of driving behaviour and congestion related to passenger cars
10.1016/s1352-2310(00)00217-x · 2000 · External reference
10.4271/2018-01-5020
10.4271/2018-01-5020 · External reference
Support vector regression machines
1997 · External reference
Vehicle emissions of short-lived and long-lived climate forcers: trends and tradeoffs
10.1039/c7fd00063d · 2017 · External reference
Unresolved reference
External reference
On the application of artificial neural networks for the prediction of NO x emissions from a high-speed direct injection diesel engine
10.1177/1468087420929768 · 2021 · External reference
Development and review of Euro 5 passenger car emission factors based on experimental results over various driving cycles
10.1016/j.scitotenv.2013.09.043 · 2014 · External reference
A review of road traffic-derived non-exhaust particles: emissions, physicochemical characteristics, health risks, and mitigation measures
10.1021/acs.est.2c01072 · 2022 · External reference
Impact of driving style and road grade on gaseous exhaust emissions of passenger vehicles measured by a Portable Emission Measurement System (PEMS)
10.1016/j.trd.2017.03.011 · 2017 · External reference
Evaluation of NOx emissions of a retrofitted Euro 5 passenger car for the Horizon prize “Engine retrofit
10.1016/j.envres.2018.06.006 · 2018 · External reference
Ecomark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data
10.1007/s10707-014-0221-7 · 2015 · External reference
Artificial neural network as a predictive tool for emissions from heavy-duty diesel vehicles in Southern California
10.1243/14680874jer00807 · 2007 · External reference
Prediction of fuel consumption for enroute ship based on machine learning
10.1109/access.2019.2933630 · 2019 · External reference
Eco-driving technology for sustainable road transport: a review
10.1016/j.rser.2018.05.030 · 2018 · External reference
Evaluation of eco-driving training for vehicle fuel use and emission reduction: A case study in Australia
10.1016/j.trd.2015.12.017 · 2018 · External reference
Crash severity analysis of vulnerable road users using machine learning
10.1371/journal.pone.0255828 · 2021 · External reference
Characteristics of on-road NOx emissions from Euro 6 light-duty diesel vehicles using a portable emissions measurement system
10.1016/j.scitotenv.2016.10.101 · 2017 · External reference
Modelling of instantaneous emissions from diesel vehicles with a special focus on NOx: Insights from machine learning techniques
10.1016/j.scitotenv.2020.139625 · 2020 · External reference
Health Impacts of Traffic-related Air Pollution: Cause-effect Relationships and Mitigating Measures
2020 · External reference
An assessment of the real-world driving gaseous emissions from a Euro 6 light-duty diesel vehicle using a portable emissions measurement system (PEMS)
10.1016/j.atmosenv.2017.11.056 · 2018 · External reference
Impact of driving dynamics in RDE test on NO x emissions dispersion
10.1177/0954407019881581 · 2020 · External reference
An assessment of emissions from light-duty vehicles using PEMS and chassis dynamometer testing
10.4271/2014-01-1581 · 2014 · External reference
Analysis of the high instantaneous NOx emissions from Euro 6 diesel passenger cars under real driving conditions
10.1016/j.apenergy.2019.03.120 · 2019 · External reference
Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling
10.1016/j.trd.2020.102576 · 2020 · External reference
Modeling the emissions of a gasoline engine during high-transient operation using machine learning approaches
2021 · External reference
A comprehensive approach to find the performance map of a heat pump using experiment and soft computing methods
10.1016/j.enconman.2017.09.070 · 2017 · External reference
Unresolved reference
External reference
Urban and transport planning pathways to carbon neutral, liveable and healthy cities; A review of the current evidence
10.1016/j.envint.2020.105661 · 2020 · External reference
Influence of vehicle test cycle characteristics on fuel consumption and emissions of city buses
2001 · External reference
Application of machine learning for fuel consumption modelling of trucks
2017 · External reference
An investigation into the effect of road gradient and driving style on NOx emissions from a diesel vehicle driven on urban roads
10.1016/j.trd.2019.05.002 · 2019 · External reference
Multivariate analysis between driving condition and vehicle emission for light duty gasoline vehicles during rush hours
10.1016/j.atmosenv.2015.03.038 · 2015 · External reference
Unresolved reference
External reference
Diagnosing and dealing with multicollinearity
10.1177/019394599001200204 · 1990 · External reference
Impact of driving style and traffic condition on emissions and fuel consumption during real-world transient operation
10.1016/j.fuel.2022.123874 · 2022 · External reference
On-road CO2 and NOx emissions of a diesel vehicle in urban traffic
2022 · External reference
Multivariate analysis of exhaust emissions from heavy-duty diesel fuels
10.1021/es940772t · 1995 · External reference
On-road emissions of passenger cars beyond the boundary conditions of the real-driving emissions test
10.1016/j.envres.2019.108572 · 2019 · External reference
Extracting the variance inflation factor and other multicollinearity diagnostics from typical regression results
10.1080/01973533.2016.1277529 · 2017 · External reference
Assessing the influence of boundary conditions, driving behavior and data analysis methods on real driving CO2 and NOx emissions
10.1016/j.scitotenv.2018.12.053 · 2019 · External reference
Higher than expected NOx emission from trucks may affect attainability of NO2 limit values in the Netherlands
10.1016/j.atmosenv.2011.03.023 · 2011 · External reference
On-road emissions of light-duty vehicles in Europe
10.1021/es2008424 · 2011 · External reference
Vehicle fuel consumption prediction method based on driving behavior data collected from smartphones
10.1155/2020/9263605 · 2020 · External reference
Ship energy consumption prediction with Gaussian process metamodel
10.1016/j.egypro.2018.09.226 · 2018 · External reference
Exploring trip fuel consumption by machine learning from GPS and CAN bus data
2015 · External reference
