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 …
their fuel economy. This paper provides a comprehensive review of data-driven fuel …
Eco-driving: a scientometric and bibliometric analysis
Z Chen, S **ong, 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 …
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 …
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 …
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
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 …
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
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 …
most preferred option for evaluating vehicle emissions in different traffic states. However, the …
[HTML][HTML] Prediction of heavy-duty engine performance for renewable fuels based on fuel property characteristics
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 …
heavy-duty vehicles. In the present study, different blends of renewable components with …
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 …
importance to improve the quality and efficiency of our transportation system. In this paper …
A real-time vehicle-specific eco-routing model for on-board navigation applications capturing transient vehicle behavior
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 …
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
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 …
goods vehicles (HGVs). This paper concerns applying data mining to quantify the fuel …