Multi-Trip Multi-Trailer Drop-and-Pull Container Drayage Problem

Wang, Decheng; Moon, Ilkyeong; Zhang, Ruiyou

doi:10.1109/tits.2022.3156547

Cited by 11 publications

(1 citation statement)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rapid development of flexible high-capacity ground transportation allows expecting an increasing number of applications of intelligent articulated N-Trailer vehicles in various domains of freight and public transport services [1], [2]. In order to diminish a human-driver's burden caused by execution of maneuvers with articulated vehicles, one can predict increased practical usage of autonomous or semi-automated N-Trailers, at least in isolated workspaces [3], [4], [5] (examples of automated tractors capable of maneuvering with semitrailers are presented in Fig.…”

Section: Introductionmentioning

confidence: 99%

Scalable Parametric-Identification Procedure for Kinematics of Automated N-Trailer Vehicles

Michałek

2024

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Kinematic description of a nonholonomic articulated N-Trailer vehicle includes two kinds of parameters: trailer lengths and hitching offsets. In the case of picking up of various trailers by an automated tractor in logistic hubs or transshipment terminals, the kinematic parameters of trailers can be uncertain or even unknown to a control system of the automated tractor. Since an accurate kinematic model is usually required to keep effective functionality of automated vehicles, it seems justified to provide a model-learning capability to the automated or intelligent tractors of N-Trailer vehicles. In this paper, we propose a scalable (with respect to any finite number of trailers) parametric identification procedure applicable to any type of N-Trailer kinematics with non-steerable trailers' wheels. The key idea results from a reformulation of jointangles kinematics in an iterative form of linear regression models with only two parameters. The proposed estimation algorithm assumes availability of measurements of articulation angles and characteristic velocities of the tractor. Numerical results obtained for the 5-Trailer nonholonomic kinematics and for a high-fidelity TruckSim vehicle model equipped with three trailers illustrate effectiveness of the proposed data-based modelling approach and large-sample statistical properties of the applied estimation procedure.

show abstract