A review of the data-driven prediction method of vehicle fuel consumption

D Zhao, H Li, J Hou, P Gong, Y Zhong, W He, Z Fu - Energies, 2023 - mdpi.com
Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …

Eco-driving: a scientometric and bibliometric analysis

Z Chen, S Xiong, Q Chen, Y Zhang, J Yu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The fuel efficiency of the transportation sector has become a key factor to reduce
greenhouse gas emissions and fuel consumption in response to the negative impacts of …

Ecological cooperative adaptive cruise control for a heterogeneous platoon of heavy-duty vehicles with time delays

C Zhai, X Chen, C Yan, Y Liu, H Li - IEEE Access, 2020 - ieeexplore.ieee.org
To deal with energy crisis and environmental issues, higher fuel economy standards and
more stringent limitations on greenhouse gas emissions for ground vehicles have been …

A comparative study on fuel consumption prediction methods of heavy-duty diesel trucks considering 21 influencing factors

J Gong, J Shang, L Li, C Zhang, J He, J Ma - Energies, 2021 - mdpi.com
With increasingly prominent environmental problems, controlling automobile exhaust has
become essential to the environment. The fuel consumption of transportation is the critical …

A multi-class toll-based approach to reduce total emissions on roads for sustainable urban transportation

L Perera, RG Thompson, W Wu - Sustainable Cities and Society, 2020 - Elsevier
High toll charges force trucks to avoid quality roads, leading to increased emissions. We
propose a model in this study to find an effective toll charging scheme to minimize total …

Assessing on-road emissions from urban buses in different traffic congestion scenarios by integrating real-world driving, traffic, and emissions data

F Rosero, N Fonseca, Z Mera, JM López - Science of the Total Environment, 2023 - Elsevier
In recent years, the integration of traffic simulators and emission models has become the
most preferred option for evaluating vehicle emissions in different traffic states. However, the …

A multi-scale control framework for urban traffic control with connected and automated vehicles

Q Guo, XJ Ban - Transportation research part B: methodological, 2023 - Elsevier
Urban traffic control is multi-scale in both temporal and spatial domains, which is of great
importance to improve the quality and efficiency of our transportation system. In this paper …

[HTML][HTML] Prediction of heavy-duty engine performance for renewable fuels based on fuel property characteristics

M Wojcieszyk, Y Kroyan, O Kaario, M Larmi - Energy, 2023 - Elsevier
Renewable drop-in fuels can bring timely and efficient defossilization of the current fleet of
heavy-duty vehicles. In the present study, different blends of renewable components with …

A real-time vehicle-specific eco-routing model for on-board navigation applications capturing transient vehicle behavior

J Wang, A Elbery, HA Rakha - Transportation Research Part C: Emerging …, 2019 - Elsevier
The paper develops a real-time vehicle-specific eco-routing model for use in on-board
navigation systems for both conventional fuel-and battery-powered electric vehicles. The …

[HTML][HTML] Quantifying fuel-saving benefit of low-rolling-resistance tyres from heavy goods vehicle in-service operations

X Na, D Cebon - Transportation Research Part D: Transport and …, 2022 - Elsevier
It is important to understand real-world performance of fuel-saving technologies for heavy
goods vehicles (HGVs). This paper concerns applying data mining to quantify the fuel …