Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation

These days, autonomous vehicles (AVs) technology has been improved dramatically. However, even though the AVs require no human intervention in most situations, AVs may fail in certain situations. In such cases, it is desirable that humans can operate the vehicle manually to recover from a failure si...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Syed Qamar Zulqarnain, Sanghwan Lee
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	remote driving remote driver selection intelligent transportation autonomous vehicle Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/848cc59c7ffd47c2860b77c3df0d0f68
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:848cc59c7ffd47c2860b77c3df0d0f68
record_format	dspace
spelling	oai:doaj.org-article:848cc59c7ffd47c2860b77c3df0d0f682021-11-11T14:57:12ZSelecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation10.3390/app112197992076-3417https://doaj.org/article/848cc59c7ffd47c2860b77c3df0d0f682021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9799https://doaj.org/toc/2076-3417These days, autonomous vehicles (AVs) technology has been improved dramatically. However, even though the AVs require no human intervention in most situations, AVs may fail in certain situations. In such cases, it is desirable that humans can operate the vehicle manually to recover from a failure situation through remote driving. Furthermore, we believe that remote driving can enhance the current transportation system in various ways. In this paper, we consider a revolutionary transportation platform, where all the vehicles in an area are controlled by some remote controllers or drivers so that transportation can be performed in a more efficient way. For example, road capacity can be effectively utilized and fuel efficiency can be increased by centralized remote control. However, one of the biggest challenges in such remote driving is the communication latency between the remote driver and the vehicle. Thus, selecting appropriate locations of the remote drivers is very important to avoid any type of safety problem that might happen due to large communication latency. Furthermore, the selection should reflect the traffic situation created by multiple vehicles in an area. To tackle these challenges, in this paper, we propose several algorithms that select remote drivers’ locations for a given transportation schedules of multiple vehicles. We consider two objectives in this system and evaluate the performance of the proposed algorithms through simulations. The results show that the proposed algorithms perform better than some baseline algorithms.Syed Qamar ZulqarnainSanghwan LeeMDPI AGarticleremote drivingremote driver selectionintelligent transportationautonomous vehicleTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9799, p 9799 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	remote driving remote driver selection intelligent transportation autonomous vehicle Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	remote driving remote driver selection intelligent transportation autonomous vehicle Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Syed Qamar Zulqarnain Sanghwan Lee Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation
description	These days, autonomous vehicles (AVs) technology has been improved dramatically. However, even though the AVs require no human intervention in most situations, AVs may fail in certain situations. In such cases, it is desirable that humans can operate the vehicle manually to recover from a failure situation through remote driving. Furthermore, we believe that remote driving can enhance the current transportation system in various ways. In this paper, we consider a revolutionary transportation platform, where all the vehicles in an area are controlled by some remote controllers or drivers so that transportation can be performed in a more efficient way. For example, road capacity can be effectively utilized and fuel efficiency can be increased by centralized remote control. However, one of the biggest challenges in such remote driving is the communication latency between the remote driver and the vehicle. Thus, selecting appropriate locations of the remote drivers is very important to avoid any type of safety problem that might happen due to large communication latency. Furthermore, the selection should reflect the traffic situation created by multiple vehicles in an area. To tackle these challenges, in this paper, we propose several algorithms that select remote drivers’ locations for a given transportation schedules of multiple vehicles. We consider two objectives in this system and evaluate the performance of the proposed algorithms through simulations. The results show that the proposed algorithms perform better than some baseline algorithms.
format	article
author	Syed Qamar Zulqarnain Sanghwan Lee
author_facet	Syed Qamar Zulqarnain Sanghwan Lee
author_sort	Syed Qamar Zulqarnain
title	Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation
title_short	Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation
title_full	Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation
title_fullStr	Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation
title_full_unstemmed	Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation
title_sort	selecting remote driving locations for latency sensitive reliable tele-operation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/848cc59c7ffd47c2860b77c3df0d0f68
work_keys_str_mv	AT syedqamarzulqarnain selectingremotedrivinglocationsforlatencysensitivereliableteleoperation AT sanghwanlee selectingremotedrivinglocationsforlatencysensitivereliableteleoperation
_version_	1718437905013145600

Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation

Ejemplares similares