A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution
AH Ganesh, B Xu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …
emissions and the depletion of fossil fuels has contributed to the progress of electrified …
Vehicle connectivity and automation: A sibling relationship
The evolution of scientific advances has often been characterized by the amalgamation of
two or more technologies. With respect to vehicle connectivity and automation, recent …
two or more technologies. With respect to vehicle connectivity and automation, recent …
A progressive review: Emerging technologies for ADAS driven solutions
J Nidamanuri, C Nibhanupudi, R Assfalg… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …
Trajectory tracking of autonomous vehicle based on model predictive control with PID feedback
The simplified vehicle model often results in inaccuracy with respect to the conventional
model predictive control (MPC) as it causes steady error in tracking control, which has …
model predictive control (MPC) as it causes steady error in tracking control, which has …
Leveraging the capabilities of connected and autonomous vehicles and multi-agent reinforcement learning to mitigate highway bottleneck congestion
Active Traffic Management strategies are often adopted in real-time to address such sudden
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …
A cooperative control framework for CAV lane change in a mixed traffic environment
In preparing for connected and autonomous vehicles (CAVs), a worrisome aspect is the
transition era which will be characterized by mixed traffic (where CAVs and human-driven …
transition era which will be characterized by mixed traffic (where CAVs and human-driven …
Physics-aware safety-assured design of hierarchical neural network based planner
Neural networks have shown great promises in planning, control, and general decision
making for learning-enabled cyber-physical systems (LE-CPSs), especially in improving …
making for learning-enabled cyber-physical systems (LE-CPSs), especially in improving …
Using empirical trajectory data to design connected autonomous vehicle controllers for traffic stabilization
Emerging transportation technologies offer unprecedented opportunities to improve the
efficiency of the transportation system from the perspectives of energy consumption …
efficiency of the transportation system from the perspectives of energy consumption …
A safety-guaranteed framework for neural-network-based planners in connected vehicles under communication disturbance
Neural-network-based (NN-based) planners have been increasingly used to enhance the
performance of planning for autonomous vehicles. However, it is often difficult for NN-based …
performance of planning for autonomous vehicles. However, it is often difficult for NN-based …
Repositioning shared urban personal transport units: Considerations of travel cost and demand uncertainty
J Feng, S Chen, Z Ye, M Miralinaghi… - Journal of Infrastructure …, 2021 - ascelibrary.org
Operators of personal transport units (PTUs) face the challenge of intelligently balancing the
locational demand and supply of PTUs in order to mitigate surpluses or deficits at PTU …
locational demand and supply of PTUs in order to mitigate surpluses or deficits at PTU …