A control of collision and deadlock avoidance for automated guided vehicles with a fault-tolerance capability

Q. Li, A.Y. Pogromskiy, A.C. Adriaansen, J.T. Udding

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

8 Citaties (Scopus)
85 Downloads (Pure)

Uittreksel

Based on a novel discrete-event zone-control model, in our previous papers [1, 2], we presented a time-efficient traffic control for automated guided vehicle (AGV) systems to exclude inter-vehicle collisions and system deadlocks, together with a case study on container terminals. The traffic control allows each vehicle in an AGV system to freely choose its routes for any finite sequence of zone-to-zone transportation tasks and the routes can be constructed in an online fashion. In this paper, we extended our previous results with two practical goals: (1) to increase the utilization of the workspace area by reducing the minimally allowed area of each zone; (2) to avoid vehicle collisions and deadlocks with the occurrence of vehicle breakdowns. To achieve the first goal, we include one extra vehicle event that allows each vehicle to probe further ahead while it is moving on the guide-path. This leads to an extension of our previous discrete-event model and traffic control rules, which are presented in the first part of the paper. The second part of the paper concerns the second goal, for which an emergency traffic control scheme is designed as supplementary to the normal traffic control rules. As in our previous papers, the improved model and traffic control are applied to a simulation of quayside container transshipment at container terminals; our simulation results are compared with those from two interesting works in the literature.
Originele taal-2Engels
Artikelnummer64
Aantal pagina's24
TijdschriftInternational Journal of Advanced Robotic Systems
Volume13
Nummer van het tijdschrift2
DOI's
StatusGepubliceerd - 7 apr 2016

Vingerafdruk

Fault tolerance
Traffic control
Containers
Emergency traffic control

Citeer dit

@article{126826ae05544c8daf10a32e298e64c4,
title = "A control of collision and deadlock avoidance for automated guided vehicles with a fault-tolerance capability",
abstract = "Based on a novel discrete-event zone-control model, in our previous papers [1, 2], we presented a time-efficient traffic control for automated guided vehicle (AGV) systems to exclude inter-vehicle collisions and system deadlocks, together with a case study on container terminals. The traffic control allows each vehicle in an AGV system to freely choose its routes for any finite sequence of zone-to-zone transportation tasks and the routes can be constructed in an online fashion. In this paper, we extended our previous results with two practical goals: (1) to increase the utilization of the workspace area by reducing the minimally allowed area of each zone; (2) to avoid vehicle collisions and deadlocks with the occurrence of vehicle breakdowns. To achieve the first goal, we include one extra vehicle event that allows each vehicle to probe further ahead while it is moving on the guide-path. This leads to an extension of our previous discrete-event model and traffic control rules, which are presented in the first part of the paper. The second part of the paper concerns the second goal, for which an emergency traffic control scheme is designed as supplementary to the normal traffic control rules. As in our previous papers, the improved model and traffic control are applied to a simulation of quayside container transshipment at container terminals; our simulation results are compared with those from two interesting works in the literature.",
author = "Q. Li and A.Y. Pogromskiy and A.C. Adriaansen and J.T. Udding",
year = "2016",
month = "4",
day = "7",
doi = "10.5772/62685",
language = "English",
volume = "13",
journal = "International Journal of Advanced Robotic Systems",
issn = "1729-8806",
publisher = "SAGE Publications Ltd",
number = "2",

}

A control of collision and deadlock avoidance for automated guided vehicles with a fault-tolerance capability. / Li, Q.; Pogromskiy, A.Y.; Adriaansen, A.C.; Udding, J.T.

In: International Journal of Advanced Robotic Systems, Vol. 13, Nr. 2, 64, 07.04.2016.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

TY - JOUR

T1 - A control of collision and deadlock avoidance for automated guided vehicles with a fault-tolerance capability

AU - Li, Q.

AU - Pogromskiy, A.Y.

AU - Adriaansen, A.C.

AU - Udding, J.T.

PY - 2016/4/7

Y1 - 2016/4/7

N2 - Based on a novel discrete-event zone-control model, in our previous papers [1, 2], we presented a time-efficient traffic control for automated guided vehicle (AGV) systems to exclude inter-vehicle collisions and system deadlocks, together with a case study on container terminals. The traffic control allows each vehicle in an AGV system to freely choose its routes for any finite sequence of zone-to-zone transportation tasks and the routes can be constructed in an online fashion. In this paper, we extended our previous results with two practical goals: (1) to increase the utilization of the workspace area by reducing the minimally allowed area of each zone; (2) to avoid vehicle collisions and deadlocks with the occurrence of vehicle breakdowns. To achieve the first goal, we include one extra vehicle event that allows each vehicle to probe further ahead while it is moving on the guide-path. This leads to an extension of our previous discrete-event model and traffic control rules, which are presented in the first part of the paper. The second part of the paper concerns the second goal, for which an emergency traffic control scheme is designed as supplementary to the normal traffic control rules. As in our previous papers, the improved model and traffic control are applied to a simulation of quayside container transshipment at container terminals; our simulation results are compared with those from two interesting works in the literature.

AB - Based on a novel discrete-event zone-control model, in our previous papers [1, 2], we presented a time-efficient traffic control for automated guided vehicle (AGV) systems to exclude inter-vehicle collisions and system deadlocks, together with a case study on container terminals. The traffic control allows each vehicle in an AGV system to freely choose its routes for any finite sequence of zone-to-zone transportation tasks and the routes can be constructed in an online fashion. In this paper, we extended our previous results with two practical goals: (1) to increase the utilization of the workspace area by reducing the minimally allowed area of each zone; (2) to avoid vehicle collisions and deadlocks with the occurrence of vehicle breakdowns. To achieve the first goal, we include one extra vehicle event that allows each vehicle to probe further ahead while it is moving on the guide-path. This leads to an extension of our previous discrete-event model and traffic control rules, which are presented in the first part of the paper. The second part of the paper concerns the second goal, for which an emergency traffic control scheme is designed as supplementary to the normal traffic control rules. As in our previous papers, the improved model and traffic control are applied to a simulation of quayside container transshipment at container terminals; our simulation results are compared with those from two interesting works in the literature.

U2 - 10.5772/62685

DO - 10.5772/62685

M3 - Article

VL - 13

JO - International Journal of Advanced Robotic Systems

JF - International Journal of Advanced Robotic Systems

SN - 1729-8806

IS - 2

M1 - 64

ER -