Microsimulation of energy and flow effects from optimal automated driving in mixed traffic
This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller
in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the …
in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the …
A linear programming formulation for eco-driving over road slopes
This research proposes a linear program (LP) formulation for energy-minimizing vehicle
velocity optimization in hilly terrain and demonstrates comparable performance to its …
velocity optimization in hilly terrain and demonstrates comparable performance to its …
A two-stage trajectory planning model for cooperative truck platooning on freeways
Truck platooning is considered as a promising approach to improve traffic stability and to
reduce fuel consumption and emissions on freeways. This article develops a two-stage …
reduce fuel consumption and emissions on freeways. This article develops a two-stage …
Advancing platooning with ADAS control integration and assessment test results
The application of cooperative adaptive cruise control (CACC) to heavy-duty trucks known
as truck platooning has shown fuel economy improvements over test track ideal driving …
as truck platooning has shown fuel economy improvements over test track ideal driving …
Vehicle Speed Profile Optimization for Fuel Efficient Eco-Driving via Koopman Linear Predictor and Model Predictive Control
SA Nugroho, VP Chellapandi… - 2024 American Control …, 2024 - ieeexplore.ieee.org
Advancements in Vehicle-to-Everything (V2X) technologies have opened new avenues for
enhancing fuel efficiency in long-haul trucks through ecological (eco-) driving initiatives …
enhancing fuel efficiency in long-haul trucks through ecological (eco-) driving initiatives …
Real-Time Co-optimization of Gear Shifting and Engine Torque for Predictive Cruise Control of Heavy-Duty Trucks
H Chu, X Na, H Liu, Y Wang, Z Yang, L Zhang… - Chinese Journal of …, 2024 - Springer
Fuel consumption is one of the main concerns for heavy-duty trucks. Predictive cruise control
(PCC) provides an intriguing opportunity to reduce fuel consumption by using the upcoming …
(PCC) provides an intriguing opportunity to reduce fuel consumption by using the upcoming …
Predictive Energy Management of Mild-Hybrid Truck Platoon Using Agent-Based Multi-Objective Optimization
S Pramanik, S Anwar - IEEE Access, 2023 - ieeexplore.ieee.org
The objective of this paper is to formulate and analyze the benefits of a predictive non-linear
multi objective optimization method for a platoon of mild-hybrid line haul trucks. In this study …
multi objective optimization method for a platoon of mild-hybrid line haul trucks. In this study …
Simulated and Experimental Verification of Fuel-Efficient Truck Platooning with Model Predictive Control Under Grade and Traffic Disturbances
Truck platooning closely regulates gaps between heavy-duty freight trucks to exploit
slipstream effects for reducing aerodynamic friction—and therefore reducing engine effort …
slipstream effects for reducing aerodynamic friction—and therefore reducing engine effort …
Considerate and cooperative model predictive control for energy-efficient truck platooning of heterogeneous fleets
Connectivity-enabled automation of distributed control systems allow for better anticipation
of system disturbances and better prediction of the effects of actuator limitations on …
of system disturbances and better prediction of the effects of actuator limitations on …
[PDF][PDF] Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation.
KBY Bintoro, TK Priyambodo - International Journal of Intelligent …, 2024 - researchgate.net
The study introduces the learning automata-based AODV (LA-AODV) protocol to enhance
vehicle-tovehicle (V2V) communication in dynamic vehicular Ad-hoc networks (VANETs) …
vehicle-tovehicle (V2V) communication in dynamic vehicular Ad-hoc networks (VANETs) …