A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
Eco-driving-based cooperative adaptive cruise control of connected vehicles platoon at signalized intersections
Vehicle driving patterns greatly impact the sustainability of the transportation system. Based
on V2X communication, the ecological cooperative adaptive cruise control (Eco-CACC) is …
on V2X communication, the ecological cooperative adaptive cruise control (Eco-CACC) is …
An AI-assisted systematic literature review of the impact of vehicle automation on energy consumption
Impacts of vehicle automation and connectivity have been studied widely from the
perspectives of fuel economy, ecology, and safety. Synthesis of various segments of this …
perspectives of fuel economy, ecology, and safety. Synthesis of various segments of this …
Adaptive speed planning of connected and automated vehicles using multi-light trained deep reinforcement learning
Through shared real-time traffic information and perception of complex environments,
connected and automated vehicles (CAVs) are endowed with global decision-making …
connected and automated vehicles (CAVs) are endowed with global decision-making …
A fast optimal speed planning system in arterial roads for intelligent and connected vehicles
Speed planning system is generally equipped for intelligent and connected vehicles (ICVs).
Under the circumstances of autonomous driving, an energy-optimal speed trajectory is …
Under the circumstances of autonomous driving, an energy-optimal speed trajectory is …
Green light optimal speed advisory system designed for electric vehicles considering queuing effect and driver's speed tracking error
Z Zhang, Y Zou, X Zhang, T Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
The GLOSA (Green Light Optimal Speed Advisory) system provides speed advice to drivers
so that drivers can pass through congested intersections at right instant with shorter time and …
so that drivers can pass through congested intersections at right instant with shorter time and …
A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System
With the application of mobile communication technology in the automotive industry,
intelligent connected vehicles equipped with communication and sensing devices have …
intelligent connected vehicles equipped with communication and sensing devices have …
Efficient management of energy consumption of electric vehicles using machine learning—A systematic and comprehensive survey
Electric vehicles are growing in popularity as a form of transportation, but are still underused
for several reasons, such as their relatively low range and the high costs associated with …
for several reasons, such as their relatively low range and the high costs associated with …
Eco-driving at signalized intersections under uncertain traffic conditions
X Chen, L Qian, Q Wang - Proceedings of the Institution of …, 2024 - journals.sagepub.com
Eco-driving at signalized intersections is a topical issue in CAVs technology and an
important part of energy-efficient driving. In this paper, a robust eco-driving control method of …
important part of energy-efficient driving. In this paper, a robust eco-driving control method of …
Effects of Connected Autonomous Vehicles on the Energy Performance of Signal-Controlled Junctions
Y Wen, Y Wang, Z Zhang, J Wu, L Zhong… - Sustainability, 2023 - mdpi.com
This study proposes an optimal control method for connected autonomous vehicles (CAVs)
through signalized intersections to reduce the energy consumption of mixed human-driven …
through signalized intersections to reduce the energy consumption of mixed human-driven …