Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
Fuel economy-oriented vehicle platoon control using economic model predictive control
Vehicle platoon control based on vehicle-to-vehicle (V2V) communication is one of the
promising technologies to improve the performance of transportation systems. This paper …
promising technologies to improve the performance of transportation systems. This paper …
Eco-approach with traffic prediction and experimental validation for connected and autonomous vehicles
This work proposes a fuel efficient vehicle speed control strategy for a connected and
autonomous vehicle to pass the intersection (the eco-approach application). A control …
autonomous vehicle to pass the intersection (the eco-approach application). A control …
Online optimization of gear shift and velocity for eco-driving using adaptive dynamic programming
In this paper a learning-based optimization method for online gear shift and velocity control
is presented to reduce the fuel consumption and improve the driving comfort in a car …
is presented to reduce the fuel consumption and improve the driving comfort in a car …
Stochastically predictive co-optimization of the speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently
With inevitable random disturbance in traffic scenarios, electric vehicles (EVs) may face the
driving safety issue, while, if operated over cautiously, the frequent speed variation …
driving safety issue, while, if operated over cautiously, the frequent speed variation …
Ecological adaptive cruise control for vehicles with step-gear transmission based on reinforcement learning
G Li, D Görges - IEEE Transactions on Intelligent Transportation …, 2019 - ieeexplore.ieee.org
In this paper an ecological adaptive cruise controller to reduce the fuel consumption and
ensure the safe inter-vehicle distance for vehicles with step-gear transmissions is presented …
ensure the safe inter-vehicle distance for vehicles with step-gear transmissions is presented …
A taxonomy of optimization factors for platooning
The technical maturity of autonomous driving enables the discussion of beneficial use cases
to leverage its full potential. In this paper, we target one such use case: Platooning is the …
to leverage its full potential. In this paper, we target one such use case: Platooning is the …
Compact cooperative adaptive cruise control for energy saving: Air drag modelling and simulation
This paper studies the value of communicated motion predictions in the longitudinal control
of connected automated vehicles (CAVs). We focus on a safe cooperative adaptive cruise …
of connected automated vehicles (CAVs). We focus on a safe cooperative adaptive cruise …
Ecological adaptive cruise control of plug-in hybrid electric vehicle with connected infrastructure and on-road experiments
This paper examines both mathematical formulation and practical implementation of an
ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human …
ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human …
Cooperative-driving control for mixed fleets at wireless charging sections for lane changing behaviour
B Li, X Dong, J Wen - Energy, 2022 - Elsevier
Recently, electric vehicles (EVs) have become an important traffic tool in connected and
automated environments due to their own advantages. However, the optimal driving control …
automated environments due to their own advantages. However, the optimal driving control …