Reference health
Predicting Driving Aggression Using Vehicle Acceleration for Eco-Driving
35/35 checkable references clean · checked 2026-08-05
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
26 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 35 checked references that resolve
resolves10.1016/j.isprsjprs.2016.01.011
Random forest in remote sensing: A review of applications and future directions
resolves10.1016/j.rser.2015.08.062
Modeling of vehicle fuel consumption and carbon dioxide emission in road transport
resolves10.1111/j.1559-1816.2001.tb00204.x
The Effects of Trait Driving Anger, Anonymity, and Aggressive Stimuli on Aggressive Driving Behavior
resolves10.1080/01431161.2013.788261
Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests
resolves10.1038/ng.2892
A general framework for estimating the relative pathogenicity of human genetic variants
resolves10.1109/TITS.2011.2142182
Utilization of Fuel Consumption Data in an Ecodriving Incentive System for Heavy-Duty Vehicle Drivers
resolves10.1109/TIE.2018.2850031
Driving-Style-Based Codesign Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach
resolves10.1109/JCN.2017.000025
Drivingstyles: a mobile platform for driving styles and fuel consumption characterization
resolves10.1007/978-1-4613-2173-6_19
A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?
resolves10.1109/ACCESS.2019.2920489
Impact of Driver Behavior on Fuel Consumption: Classification, Evaluation and Prediction Using Machine Learning
resolves10.1080/15568318.2018.1445321
Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization
resolves10.1109/TPAMI.2009.187
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
resolves10.1016/j.trd.2015.02.016
Does driving behavior matter? An analysis of fuel consumption data from heavy-duty trucks
resolves10.1016/j.trd.2016.09.008
A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing
The 26 references without a DOI — listed, not checked
no DOI — not checkedThe health effects of traffic-related air pollution: A review focused the health effects of going green
no DOI — not checkedref5
no DOI — not checkedNo Unbiased Estimator of the Variance of K-Fold Cross-Validation
no DOI — not checkedref8
no DOI — not checkedEco-driving key factors that influence fuel consumption in heavy-truck fleets: A Colombian case
no DOI — not checkedref11
no DOI — not checkedInitializing communication to vehicle OBDII system
no DOI — not checkedAnonymity and aggressive driving behavior: A field study
no DOI — not checkedref16
no DOI — not checkedBig data preprocessing: methods and prospects
no DOI — not checkedref22
no DOI — not checkedref24
no DOI — not checkedref27
no DOI — not checkedref31
no DOI — not checkedAmbient air pollution and children's health: A systematic review of Canadian epidemiological studies
no DOI — not checkedref33
no DOI — not checkedref34
no DOI — not checkedAdventures in automotive networks and control units
no DOI — not checkedref41
no DOI — not checkedref42
no DOI — not checkedref43
no DOI — not checkedref45
no DOI — not checkedref46
no DOI — not checkedData cleaning: Problems and current approaches
no DOI — not checkedref53
no DOI — not checkedK-en yak?n kom?u algoritmas? parametrelerinin s?n?fland?rma performans? �zerine etkisinin incelenmesi
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