Mobility energy productivity evaluation of prediction-based vehicle powertrain control combined with optimal traffic management
Transportation vehicle and network system efficiency can be defined in two ways: 1)
reduction of travel times across all the vehicles in the system, and 2) reduction in total …
reduction of travel times across all the vehicles in the system, and 2) reduction in total …
Unified network tRaffic management frAmework for fully conNected and electric vehicles energy cOnsumption optimization (URANO)
Cooperative control in the presence of connected and automated vehicles has attracted
substantial attention due to its pronounced benefits on the network compared with human …
substantial attention due to its pronounced benefits on the network compared with human …
Connectivity-based optimization of vehicle route and speed for improved fuel economy
C Miao, H Liu, GG Zhu, H Chen - Transportation Research Part C …, 2018 - Elsevier
Traditionally, vehicle route planning problem focuses on route optimization based on traffic
data and surrounding environment. This paper proposes a novel extended vehicle route …
data and surrounding environment. This paper proposes a novel extended vehicle route …
Energy-efficient connected and automated vehicles: Real-time traffic prediction-enabled co-optimization of vehicle motion and powertrain operation
Connected and automated vehicles (CAVs) can bring energy, mobility, and safety benefits to
transportation. Energy savings can be achieved by solving a mathematical optimization …
transportation. Energy savings can be achieved by solving a mathematical optimization …
Forward power-train energy management modeling for assessing benefits of integrating predictive traffic data into plug-in-hybrid electric vehicles
In this paper, a forward power-train plug-in hybrid electric vehicle model with an energy
management system and a cycle optimization algorithm is evaluated for energy efficiency …
management system and a cycle optimization algorithm is evaluated for energy efficiency …
Energy and mobility impacts of connected autonomous vehicles with co-optimization of speed and powertrain on mixed vehicle platoons
Intersections are known to be traffic bottlenecks where a significant amount of energy
consumption could be caused due to deceleration/acceleration in the presence of red …
consumption could be caused due to deceleration/acceleration in the presence of red …
Multiobjective traffic network design accounting for plug-in electric vehicle energy consumption
In order to exploit the potential of plug-in electric vehicles (PEVs) as a sustainable form of
transport, this novel technology must be integrated into the traditional transport system …
transport, this novel technology must be integrated into the traditional transport system …
Energy saving potentials of modern powertrains utilizing predictive driving algorithms in different traffic scenarios
M Wegener, T Plum, M Eisenbarth… - Proceedings of the …, 2020 - journals.sagepub.com
In this article, we analyze the interaction between powertrain technology, predictive driving
functionalities, and inner-city traffic conditions. A model predictive velocity control algorithm …
functionalities, and inner-city traffic conditions. A model predictive velocity control algorithm …
Velocity optimization and robust energy management of connected power-split hybrid electric vehicles
SM Sotoudeh, B HomChaudhuri - Journal of …, 2022 - asmedigitalcollection.asme.org
This paper focuses on an eco-driving-based hierarchical robust energy management
strategy for connected and automated hybrid electric vehicles in the presence of uncertainty …
strategy for connected and automated hybrid electric vehicles in the presence of uncertainty …
An intelligent energy management and traffic predictive model for autonomous vehicle systems
In recent times, the utilization of autonomous vehicles (AVs) has been significantly increased
over the globe. It is because of the tremendous rise in familiarity and the usage of artificial …
over the globe. It is because of the tremendous rise in familiarity and the usage of artificial …