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Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks. / Alves Beirigo, Breno; Schulte, Frederik; Negenborn, R.

Proceedings of the 2018 IEEE Intelligent Transportation Systems Conference (ITSC 2018). Piscataway, NJ, USA : IEEE, 2018. p. 1325-1330 8569344.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Harvard

Alves Beirigo, B, Schulte, F & Negenborn, R 2018, Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks. in Proceedings of the 2018 IEEE Intelligent Transportation Systems Conference (ITSC 2018)., 8569344, IEEE, Piscataway, NJ, USA, pp. 1325-1330, 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, United States, 4/11/18. https://doi.org/10.1109/ITSC.2018.8569344

APA

Alves Beirigo, B., Schulte, F., & Negenborn, R. (2018). Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks. In Proceedings of the 2018 IEEE Intelligent Transportation Systems Conference (ITSC 2018) (pp. 1325-1330). [8569344] IEEE. https://doi.org/10.1109/ITSC.2018.8569344

Vancouver

Alves Beirigo B, Schulte F, Negenborn R. Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks. In Proceedings of the 2018 IEEE Intelligent Transportation Systems Conference (ITSC 2018). Piscataway, NJ, USA: IEEE. 2018. p. 1325-1330. 8569344 https://doi.org/10.1109/ITSC.2018.8569344

Author

Alves Beirigo, Breno ; Schulte, Frederik ; Negenborn, R. / Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks. Proceedings of the 2018 IEEE Intelligent Transportation Systems Conference (ITSC 2018). Piscataway, NJ, USA : IEEE, 2018. pp. 1325-1330

BibTeX

@inproceedings{833afe9343d74de1a826af9311169f0a,
title = "Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks",
abstract = "Autonomous vehicles (AVs) are expected to widely re-define mobility in the future, transforming many solutions into autonomous services. Nonetheless, this development requires an expected transition phase of several decades in which some regions will provide sufficient infrastructure for AV movements, while others will not support AVs yet. In this work, we propose an operational planning model for mobility services operating in regions with AV-ready and not AV-ready zones. To this end, we model detailed automated driving areas and consider a heterogeneous fleet comprised of three vehicle types: autonomous, conventional, and dual-mode. While autonomous and conventional vehicles can only operate in their designated areas, dual-mode vehicles service zone-crossing demands in which both human and autonomous driving are required. For such a hybrid network, we introduce a new mathematical planning model based on a site-dependent variant of the heterogeneous dial-a-ride problem (HDARP). With a numerical study for the city of Delft, The Netherlands, we provide insights into how operational costs, service levels, and fleet utilization develop under 405 scenarios of multiple infrastructural settings and technology costs.",
keywords = "Autonomous Vehicles, Autonomous Zones, Dual-Mode Vehicles, Mobility Services, Ride Sharing",
author = "{Alves Beirigo}, Breno and Frederik Schulte and R. Negenborn",
year = "2018",
doi = "10.1109/ITSC.2018.8569344",
language = "English",
pages = "1325--1330",
booktitle = "Proceedings of the 2018 IEEE Intelligent Transportation Systems Conference (ITSC 2018)",
publisher = "IEEE",
address = "United States",
note = "21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018, ITSC 2018 ; Conference date: 04-11-2018 Through 07-11-2018",
url = "https://www.ieee-itsc2018.org/",

}

RIS

TY - GEN

T1 - Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks

AU - Alves Beirigo, Breno

AU - Schulte, Frederik

AU - Negenborn, R.

N1 - Conference code: 21

PY - 2018

Y1 - 2018

N2 - Autonomous vehicles (AVs) are expected to widely re-define mobility in the future, transforming many solutions into autonomous services. Nonetheless, this development requires an expected transition phase of several decades in which some regions will provide sufficient infrastructure for AV movements, while others will not support AVs yet. In this work, we propose an operational planning model for mobility services operating in regions with AV-ready and not AV-ready zones. To this end, we model detailed automated driving areas and consider a heterogeneous fleet comprised of three vehicle types: autonomous, conventional, and dual-mode. While autonomous and conventional vehicles can only operate in their designated areas, dual-mode vehicles service zone-crossing demands in which both human and autonomous driving are required. For such a hybrid network, we introduce a new mathematical planning model based on a site-dependent variant of the heterogeneous dial-a-ride problem (HDARP). With a numerical study for the city of Delft, The Netherlands, we provide insights into how operational costs, service levels, and fleet utilization develop under 405 scenarios of multiple infrastructural settings and technology costs.

AB - Autonomous vehicles (AVs) are expected to widely re-define mobility in the future, transforming many solutions into autonomous services. Nonetheless, this development requires an expected transition phase of several decades in which some regions will provide sufficient infrastructure for AV movements, while others will not support AVs yet. In this work, we propose an operational planning model for mobility services operating in regions with AV-ready and not AV-ready zones. To this end, we model detailed automated driving areas and consider a heterogeneous fleet comprised of three vehicle types: autonomous, conventional, and dual-mode. While autonomous and conventional vehicles can only operate in their designated areas, dual-mode vehicles service zone-crossing demands in which both human and autonomous driving are required. For such a hybrid network, we introduce a new mathematical planning model based on a site-dependent variant of the heterogeneous dial-a-ride problem (HDARP). With a numerical study for the city of Delft, The Netherlands, we provide insights into how operational costs, service levels, and fleet utilization develop under 405 scenarios of multiple infrastructural settings and technology costs.

KW - Autonomous Vehicles

KW - Autonomous Zones

KW - Dual-Mode Vehicles

KW - Mobility Services

KW - Ride Sharing

UR - http://www.scopus.com/inward/record.url?scp=85060450286&partnerID=8YFLogxK

U2 - 10.1109/ITSC.2018.8569344

DO - 10.1109/ITSC.2018.8569344

M3 - Conference contribution

AN - SCOPUS:85060450286

SP - 1325

EP - 1330

BT - Proceedings of the 2018 IEEE Intelligent Transportation Systems Conference (ITSC 2018)

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018

Y2 - 4 November 2018 through 7 November 2018

ER -

ID: 51292976