Collaborative driving system using teamwork for platoon formations

This paper gives an insight on the implementation of the concept of vehicle platooning for vehicles moving in linear motion on highways. The implementation uses two autonomous prototypes. Our proposed approach involves V2V (vehicle to vehicle) communication and V2I (vehicle to infrastructure) communication which has been successfully established. This implementation serves as an affordable realization and a proof of concept of vehicle platooning.

This paper presents results and analysis of experiments carried out on a vehicle platoon control system developed in the PATH program. The objective of this project is to assess the feasibility of applying currently available technology to the concept of vehicle platoon control. It is estimated that the vehicle platoon system could increase highway traffic capacity by a factor of two or three. The Integrated Platoon Control System (IPCS) includes a control system, communication system, data acquisition system, and various sensors including a radar system.

2004

Abstract Collaborative driving is an important subcomponent of intelligent transportation systems ITS as it strives to create autonomous vehicles that are able to cooperate in order to navigate through urban traffic by using communications. We address this problematic using a platoon of cars considered as a multiagent system.

2020

Urban traffic congestion is a chronic problem faced by many cities. It is essentially inefficient infrastructure use which results in increased vehicle fuel consumption and emissions. This in turn adds extra costs to commuters and businesses. Addressing this issue is therefore of paramount interest due to the perceived dual benefit. Many technologies were and are being developed. These include adaptive traffic signals, dedicated lanes, etc. This paper presents a simple platooning algorithm that maintains relatively small distances (pre-specified time gap) between consecutive vehicles to enhance mobility, increase transportation capacity and ultimately reduce travel costs. Several dynamic and kinematic constraints governing the motion of vehicles are also accounted for. These include acceleration, velocity, and distance constraints. This developed logic was tested on highways that traverse the downtown area of Los Angeles. Depending on the market penetration rate of connected automat...

Automatic vehicle following is an important feature of a fully or partially automated highway system AHS. The on-board vehicle control system should be able to accept and process inputs from the driver, the infrastructure and other vehicles, perform diagnostics and provide the appropriate commands to actuators so that the resulting motion of the vehicle is safe and compatible with the AHS objectives. The purpose of this paper is to design and test a vehicle control system in order to achieve full vehicle automation in the longitudinal direction for several modes of operation, where the infrastructure manages the vehicle following. These modes include autonomous vehicles, cooperative vehicle following and platooning. The vehicle control system consists of a supervisory controller that processes the inputs from the driver, the infrastructure, other vehicles and the on-board sensors and sends the appropriate commands to the brake and throttle controllers. In addition, the controller makes decisions about normal, emergency and transition operations. Simulation results of some of the basic vehicle following maneuvers are used to verify the claimed performance of the designed controllers. Experiments on I-15 that demonstrate the performance of the throttle controller with and without vehicle-to-vehicle communications in an actual highway e n vironment are also included.

IEEE Transactions on Intelligent Transportation Systems, 2000

In this paper, we present the Cooperative Adaptive Cruise Control (CACC) architecture, which was proposed and implemented by the team from Chalmers University of Technology, Göteborg, Sweden, that joined the Grand Cooperative Driving Challenge (GCDC) in 2011. The proposed CACC architecture consists of the following three main components, which are described in detail: 1) communication; 2) sensor fusion; and 3) control. Both simulation and experimental results are provided, demonstrating that the proposed CACC system can drive within a vehicle platoon while minimizing the inter-vehicle spacing within the allowed range of safety distances, tracking a desired speed profile, and attenuating acceleration shockwaves.

2020

This is an overview on the models used to control fleets of road vehicles. In general, simplified vehicle models are used and their coupling features are introduced through the (individual) controllers. The robustness and precision of motion control needs geometric, kinematic and dynamic descriptions. We propose a modeling methodology for robots platooning to introduce specific features in the platoon behavior. This overview proposes reference models to link the fleet vehicles and assign a character to the group independent from control.

arXiv (Cornell University), 2024

Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks. The theoretical validity of the AV platooning strategies has been established and practical applications are being tested under real-world conditions. The emergence of sensors, communication, and control strategies has resulted in rapid and constant evolution of AV platooning strategies. In this paper, we review the state-of-the-art knowledge in AV longitudinal platoon formation using a five-component platooning framework, which includes vehicle model, information-receiving process, information flow topology, spacing policy, and controller and discuss the advantages and limitations of the components. Based on the discussion about existing strategies and associated limitations, potential future research directions are presented.

IEEE Transactions on Intelligent Transportation Systems, 2000

Journal of Systems Science and Complexity, 2014

Platoon formation of highway vehicles is a critical foundation for autonomous or semiautonomous vehicle control for enhanced safety, improved highway utility, increased fuel economy, and reduced emission toward intelligent transportation systems. Platoon control encounters great challenges from vehicle control, communications, team coordination, and uncertainties. This paper introduces a new method for coordinated control of platoons by using integrated network consensus decisions and vehicle control. To achieve suitable coordination of the team vehicles based on terrain and environmental conditions, the emerging technology of network consensus control is modified to a weighted and constrained consensus seeking framework. Algorithms are introduced and their convergence properties are established. The methodology employs neighborhood information through on-board sensors and V2V or V2I communications, but achieves global coordination of the entire platoon. The ability of the methods in terms of robustness, disturbance rejection, noise attenuation, and cyber-physical interaction is analyzed and demonstrated with simulated case studies.