Vehicle to vehicle communication and platooning for EV with wireless sensor network

Lee

2019

IJFIS

This study experimentally validates longitudinal control of a platoon of vessels established via the virtual robot experimentation platform (V-REP) simulator. For inter-vessel platooning, vessel positions are verified through GPS and the azimuth between vessels. A safety distance between the preceding and trailing vessels moving at variable speeds is proposed. The proposed method enables all the vessels to move, maintaining a compact formation, even when another vessel crosses the platoon of vessels because preceding vessels wait for trailing vessels. Results of extensive V-REP-based simulations indicate that the proposed approach is viable and effective in establishing longitudinal control of a platoon of vessels.

Section: Simulationmentioning

confidence: 99%

“…A representative example is the recent development of autonomous driving trucks in The Netherlands, where two or three trucks connected by Wi-Fi are driven at a constant distance. Additionally, numerous platooning systems based on vehicle-to-vehicle (V2V) communication have been studied [10,11].…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Longitudinal Control of a Platoon of Vessels Established via the V-REP Simulator

Lee

2019

IJFIS

Ecological driving on multiphase trajectories and multiobjective optimization for autonomous electric vehicle platoon

Tang

2022

Sci Rep

Autonomous electric vehicles promise to improve traffic safety, increase fuel efficiency and reduce congestion in future intelligent transportation systems. Ecological driving characteristics are first studied to concentrate on energy consumption, the ability to quickly pass its destination, etc. of autonomous electric vehicle plans (AEVPs) to maximize total energy efficiency benefits. To realize this goal, an optimal control model is developed to provide ecological driving suggestions to AEVPs. The Radau pseudospectral method (RPM) is adopted to put the optimal control model into nonlinear programs (NLP), and multiobjective optimization, including safety, economy and fast mobility, is considered, which conditions and constraints such as vehicle dynamics, traffic rules, and energy consumption. To enhance optimal model applicability, two ecological driving procedures are proposed. One procedure is that two-phase trajectory optimization and ecological driving states, such as velocity and acceleration, for the leading vehicle are developed according to RPM characteristics, while the other provides a set of targeted driving states to the following vehicles. The objective of the procedure is to minimize the total energy consumption of AEVPs, while travel comfort and safety are integrated into the schematization by optimization functions. Numerical experiments illustrate significance when ecological driving strategy for AEVPs considers energy consumption characteristics, thereby ensuring total energy consumption efficiency for AEVPs.

2018 International Conference on Advanced Technologies for Communications (ATC)

Probabilistic Communication in Car Platoons

Thi-Thanh

Tran

Müllner

2018

Autonomously driving vehicles appeared on the canvas of science in the middle of the twentieth century and have since then been the subject of many generations of researchers. One application of autonomous driving is platooning, where cars autonomously follow each other in very close distance. This application is motivated by fuel savings, labor decrease, increase in road capacity and higher safety. To achieve platooning capability, vehicles require sensors, intelligent processing systems, and communication devices. This paper provides a study in which cars communicate to measure the system performance in terms of successful message transmission probability, also referred to as the integrity of wireless communication. The communication is one crucial part of the chain of the safety functionality of an orchestrated braking maneuver in a platoon, located between the car initiating the braking and all other members of the platoon. The numerical results target the influence of parameters like transmission power, channel gain, interference noise, and total number of involved vehicles.