Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets

Ana Guerrero De La Pena; Navindran Davendralingam; Ali K. Raz; Daniel Delaurentis; Gregory Shaver; Vivek Sujan; Neera Jain

doi:10.1109/ITSC.2019.8917452

Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets

Ana Guerrero De La Pena, Navindran Davendralingam, Ali K. Raz, Daniel Delaurentis, Gregory Shaver, Vivek Sujan, Neera Jain

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

Abstract

In this paper we present a model formulation to predict the powertrain and autonomy technology adoption in a line-haul freight transportation network. The vehicle adoption and utilization behaviors of fleets operating in the network are represented as a mixed integer linear program. Powertrain technologies evaluated include diesel engines, compressed and liquefied natural gas engines, diesel-electric hybrid, battery electric, and hydrogen fuel cell. Levels of autonomy introduced to the market include Level 2, Level 4, and Level 5 as defined by SAE standards. Simulated case scenarios are presented to demonstrate the utility of the model, with an emphasis on the types of insights that can be gained by analyzing both vehicle adoption and utilization. This in turn makes the proposed model a more effective tool for policy-making and other strategic decision-making.

Original language	English
Title of host publication	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1231-1238
Number of pages	8
ISBN (Electronic)	9781538670248
DOIs	https://doi.org/10.1109/ITSC.2019.8917452
State	Published - Oct 2019
Externally published	Yes
Event	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand Duration: Oct 27 2019 → Oct 30 2019

Publication series

Name	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Conference

Conference	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Country/Territory	New Zealand
City	Auckland
Period	10/27/19 → 10/30/19

Funding

*This work was supported by Cummins, Inc.

Funders	Funder number
Cummins, Inc.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ITSC.2019.8917452

Cite this

De La Pena, A. G., Davendralingam, N., Raz, A. K., Delaurentis, D., Shaver, G., Sujan, V., & Jain, N. (2019). Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets. In 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 (pp. 1231-1238). Article 8917452 (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2019.8917452

De La Pena, Ana Guerrero ; Davendralingam, Navindran ; Raz, Ali K. et al. / Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets. 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1231-1238 (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019).

@inproceedings{a242b2517f714cdf967cf22d2dc7cb08,

title = "Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets",

abstract = "In this paper we present a model formulation to predict the powertrain and autonomy technology adoption in a line-haul freight transportation network. The vehicle adoption and utilization behaviors of fleets operating in the network are represented as a mixed integer linear program. Powertrain technologies evaluated include diesel engines, compressed and liquefied natural gas engines, diesel-electric hybrid, battery electric, and hydrogen fuel cell. Levels of autonomy introduced to the market include Level 2, Level 4, and Level 5 as defined by SAE standards. Simulated case scenarios are presented to demonstrate the utility of the model, with an emphasis on the types of insights that can be gained by analyzing both vehicle adoption and utilization. This in turn makes the proposed model a more effective tool for policy-making and other strategic decision-making.",

author = "{De La Pena}, {Ana Guerrero} and Navindran Davendralingam and Raz, {Ali K.} and Daniel Delaurentis and Gregory Shaver and Vivek Sujan and Neera Jain",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 ; Conference date: 27-10-2019 Through 30-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ITSC.2019.8917452",

language = "English",

series = "2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1231--1238",

booktitle = "2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019",

}

De La Pena, AG, Davendralingam, N, Raz, AK, Delaurentis, D, Shaver, G, Sujan, V & Jain, N 2019, Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets. in 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019., 8917452, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1231-1238, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, New Zealand, 10/27/19. https://doi.org/10.1109/ITSC.2019.8917452

Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets. / De La Pena, Ana Guerrero; Davendralingam, Navindran; Raz, Ali K. et al.
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1231-1238 8917452 (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019).

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

TY - GEN

T1 - Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets

AU - De La Pena, Ana Guerrero

AU - Davendralingam, Navindran

AU - Raz, Ali K.

AU - Delaurentis, Daniel

AU - Shaver, Gregory

AU - Sujan, Vivek

AU - Jain, Neera

PY - 2019/10

Y1 - 2019/10

N2 - In this paper we present a model formulation to predict the powertrain and autonomy technology adoption in a line-haul freight transportation network. The vehicle adoption and utilization behaviors of fleets operating in the network are represented as a mixed integer linear program. Powertrain technologies evaluated include diesel engines, compressed and liquefied natural gas engines, diesel-electric hybrid, battery electric, and hydrogen fuel cell. Levels of autonomy introduced to the market include Level 2, Level 4, and Level 5 as defined by SAE standards. Simulated case scenarios are presented to demonstrate the utility of the model, with an emphasis on the types of insights that can be gained by analyzing both vehicle adoption and utilization. This in turn makes the proposed model a more effective tool for policy-making and other strategic decision-making.

AB - In this paper we present a model formulation to predict the powertrain and autonomy technology adoption in a line-haul freight transportation network. The vehicle adoption and utilization behaviors of fleets operating in the network are represented as a mixed integer linear program. Powertrain technologies evaluated include diesel engines, compressed and liquefied natural gas engines, diesel-electric hybrid, battery electric, and hydrogen fuel cell. Levels of autonomy introduced to the market include Level 2, Level 4, and Level 5 as defined by SAE standards. Simulated case scenarios are presented to demonstrate the utility of the model, with an emphasis on the types of insights that can be gained by analyzing both vehicle adoption and utilization. This in turn makes the proposed model a more effective tool for policy-making and other strategic decision-making.

UR - http://www.scopus.com/inward/record.url?scp=85076804229&partnerID=8YFLogxK

U2 - 10.1109/ITSC.2019.8917452

DO - 10.1109/ITSC.2019.8917452

M3 - Conference contribution

AN - SCOPUS:85076804229

T3 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

SP - 1231

EP - 1238

BT - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Y2 - 27 October 2019 through 30 October 2019

ER -

De La Pena AG, Davendralingam N, Raz AK, Delaurentis D, Shaver G, Sujan V et al. Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets. In 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1231-1238. 8917452. (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019). doi: 10.1109/ITSC.2019.8917452

Modeling the Combined Effect of Powertrain Options and Autonomous Technology on Vehicle Adoption and Utilization by Line-haul Fleets

Abstract

Publication series

Conference

Funding

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this