Routing decisions of a hybrid vehicle on electric road networks

Alejandro Gutierrez-Alcoba; Roberto Rossi; Belen Martin-Barragan; Tim Embley

doi:10.1016/j.ifacol.2022.09.393

Routing decisions of a hybrid vehicle on electric road networks

Alejandro Gutierrez-Alcoba, Roberto Rossi, Belen Martin-Barragan, Tim Embley

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

An electric road system (ERS) is a road in which vehicles can travel powered from the electrical grid. Deployed at scale, this technology reduces or eliminates the need for electric vehicles (EVs) to stop for recharging, and allows for equipping these vehicles with smaller batteries. In particular, it facilitates the decarbonisation of road freight transportation. In this paper, we present a routing problem for a hybrid vehicle travelling on a ERS road network, using estimations of power requirements of the vehicle. We formulate the problem as a mixed integer linear and use it to present numerical experiments on a road network electrified in three stages, showing how the technology can help reducing fuel usage and have a global impact on how the roads in the network are used.

Original language	English
Title of host publication	Proceedings of the the 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022, June 22-24, 2022, Nantes, France
Publisher	Elsevier
Pages	227-232
Number of pages	6
Volume	55
DOIs	https://doi.org/10.1016/j.ifacol.2022.09.393
Publication status	Published - 2022

Publication series

Name	IFAC Papers Online
Publisher	Elsevier
Number	10
Volume	55
ISSN (Print)	1474-6670

Keywords / Materials (for Non-textual outputs)

freight transportation
electric vehicles
mixed-integer programming
routing and scheduling
fuel consumption
emission reduction
refuelling
electric battery capacity

Access to Document

10.1016/j.ifacol.2022.09.393

GutierrezAlcobaEtal2022IFACRoutingDecisionsOfAHybridVehicleFinal published version, 630 KBLicence: Creative Commons: Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

1 Finished

Construction Analytics train@ed Fellowship
Rossi, R.
UK industry, commerce and public corporations
1/11/19 → 31/10/22
Project: Research

1 Article

The stochastic inventory routing problem on electric roads
Gutierrez-Alcoba, A., Rossi, R., Martin-Barragan, B. & Embley, T., 1 Oct 2023, In: European Journal of Operational Research. 310, 1, p. 156-167 12 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File

Cite this

Gutierrez-Alcoba, A., Rossi, R., Martin-Barragan, B., & Embley, T. (2022). Routing decisions of a hybrid vehicle on electric road networks. In Proceedings of the the 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022, June 22-24, 2022, Nantes, France (Vol. 55, pp. 227-232). (IFAC Papers Online; Vol. 55, No. 10). Elsevier. https://doi.org/10.1016/j.ifacol.2022.09.393

@inproceedings{c70d0998ad9d4d98875bc6eef7041140,

title = "Routing decisions of a hybrid vehicle on electric road networks",

abstract = "An electric road system (ERS) is a road in which vehicles can travel powered from the electrical grid. Deployed at scale, this technology reduces or eliminates the need for electric vehicles (EVs) to stop for recharging, and allows for equipping these vehicles with smaller batteries. In particular, it facilitates the decarbonisation of road freight transportation. In this paper, we present a routing problem for a hybrid vehicle travelling on a ERS road network, using estimations of power requirements of the vehicle. We formulate the problem as a mixed integer linear and use it to present numerical experiments on a road network electrified in three stages, showing how the technology can help reducing fuel usage and have a global impact on how the roads in the network are used.",

keywords = "freight transportation, electric vehicles, mixed-integer programming, routing and scheduling, fuel consumption, emission reduction, refuelling, electric battery capacity",

author = "Alejandro Gutierrez-Alcoba and Roberto Rossi and Belen Martin-Barragan and Tim Embley",

note = "Funding Information: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 801215 and the University of Edinburgh Data-Driven Innovation programme, part of the Edinburgh and South East Scotland City Region Deal. This project is also partially funded by Costain Group PLC. Funding Information: This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 801215 and the University of Edinburgh Data-Driven Innovation programme, part of the Edinburgh and South East Scotland City Region Deal. This project is also partially funded by Costain Group PLC. Publisher Copyright: {\textcopyright} 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)",

year = "2022",

doi = "10.1016/j.ifacol.2022.09.393",

language = "English",

volume = "55",

series = "IFAC Papers Online",

publisher = "Elsevier",

number = "10",

pages = "227--232",

booktitle = "Proceedings of the the 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022, June 22-24, 2022, Nantes, France",

}

Gutierrez-Alcoba, A, Rossi, R , Martin-Barragan, B & Embley, T 2022, Routing decisions of a hybrid vehicle on electric road networks. in Proceedings of the the 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022, June 22-24, 2022, Nantes, France. vol. 55, IFAC Papers Online, no. 10, vol. 55, Elsevier, pp. 227-232. https://doi.org/10.1016/j.ifacol.2022.09.393

Routing decisions of a hybrid vehicle on electric road networks. / Gutierrez-Alcoba, Alejandro; Rossi, Roberto ; Martin-Barragan, Belen et al.
Proceedings of the the 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022, June 22-24, 2022, Nantes, France. Vol. 55 Elsevier, 2022. p. 227-232 (IFAC Papers Online; Vol. 55, No. 10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Routing decisions of a hybrid vehicle on electric road networks

AU - Gutierrez-Alcoba, Alejandro

AU - Rossi, Roberto

AU - Martin-Barragan, Belen

AU - Embley, Tim

N1 - Funding Information: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 801215 and the University of Edinburgh Data-Driven Innovation programme, part of the Edinburgh and South East Scotland City Region Deal. This project is also partially funded by Costain Group PLC. Funding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 801215 and the University of Edinburgh Data-Driven Innovation programme, part of the Edinburgh and South East Scotland City Region Deal. This project is also partially funded by Costain Group PLC. Publisher Copyright: © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)

PY - 2022

Y1 - 2022

N2 - An electric road system (ERS) is a road in which vehicles can travel powered from the electrical grid. Deployed at scale, this technology reduces or eliminates the need for electric vehicles (EVs) to stop for recharging, and allows for equipping these vehicles with smaller batteries. In particular, it facilitates the decarbonisation of road freight transportation. In this paper, we present a routing problem for a hybrid vehicle travelling on a ERS road network, using estimations of power requirements of the vehicle. We formulate the problem as a mixed integer linear and use it to present numerical experiments on a road network electrified in three stages, showing how the technology can help reducing fuel usage and have a global impact on how the roads in the network are used.

AB - An electric road system (ERS) is a road in which vehicles can travel powered from the electrical grid. Deployed at scale, this technology reduces or eliminates the need for electric vehicles (EVs) to stop for recharging, and allows for equipping these vehicles with smaller batteries. In particular, it facilitates the decarbonisation of road freight transportation. In this paper, we present a routing problem for a hybrid vehicle travelling on a ERS road network, using estimations of power requirements of the vehicle. We formulate the problem as a mixed integer linear and use it to present numerical experiments on a road network electrified in three stages, showing how the technology can help reducing fuel usage and have a global impact on how the roads in the network are used.

KW - freight transportation

KW - electric vehicles

KW - mixed-integer programming

KW - routing and scheduling

KW - fuel consumption

KW - emission reduction

KW - refuelling

KW - electric battery capacity

U2 - 10.1016/j.ifacol.2022.09.393

DO - 10.1016/j.ifacol.2022.09.393

M3 - Conference contribution

VL - 55

T3 - IFAC Papers Online

SP - 227

EP - 232

BT - Proceedings of the the 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022, June 22-24, 2022, Nantes, France

PB - Elsevier

ER -

Gutierrez-Alcoba A, Rossi R , Martin-Barragan B, Embley T. Routing decisions of a hybrid vehicle on electric road networks. In Proceedings of the the 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022, June 22-24, 2022, Nantes, France. Vol. 55. Elsevier. 2022. p. 227-232. (IFAC Papers Online; 10). Epub 2022 Oct 26. doi: 10.1016/j.ifacol.2022.09.393

Routing decisions of a hybrid vehicle on electric road networks

Abstract / Description of output

Publication series

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

Construction Analytics train@ed Fellowship

Research output

The stochastic inventory routing problem on electric roads

Cite this