Modeling the behavior of an autonomous shuttle for the evaluation of last-mile solutions

Simin Hesami; Cedric De Cauwer; Evy Rombaut; Lieselot Vanhaverbeke; Thierry Coosemans

doi:10.1016/j.trpro.2023.11.784

Modeling the behavior of an autonomous shuttle for the evaluation of last-mile solutions

Simin Hesami, Cedric De Cauwer, Evy Rombaut, Lieselot Vanhaverbeke, Thierry Coosemans

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Abstract

This paper models the behavior of an autonomous shuttle for last-mile application scenarios. To simulate the energy consumption, the real-world dynamical and electrical data of an autonomous pilot shuttle tested in the Brubels Capital Region are measured. Simulation results show 94.5-96.4% accuracy after validation. To simulate the speed profile of future scenarios, the trajectory is divided into eight sections, each with particular characteristics regarding the type of the road and, thus, different maximum operational speeds. The shuttle's speed profile is reconstructed using the Gipps model based on the segmentation. As the speed profile simulation results match the shuttle's real-world behavior, the model is applied for speed profile generation of future scenarios. Last-mile scenarios' evaluation is accomplished using the presented model.

Original language	English
Pages (from-to)	3379-3386
Number of pages <span style="color:red"p> <font size="1.5"> ✽ </span> </font>	8
Journal	Transportation Research Procedia
Volume	72
DOIs	https://doi.org/10.1016/j.trpro.2023.11.784
Publication status	Published - 13 Dec 2023
Event	TRA 2022 - Congressos de Lisboa, Lisbon, Portugal Duration: 14 Nov 2022 → 17 Nov 2022 https://traconference.eu/

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)

Keywords

Autonomous shuttle
energy consumption
scenario assessment

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10.1016/j.trpro.2023.11.784

1-s2.0-S2352146523010827-mainFinal published version, 858 KBLicence: CC BY

Cite this

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title = "Modeling the behavior of an autonomous shuttle for the evaluation of last-mile solutions",

abstract = "This paper models the behavior of an autonomous shuttle for last-mile application scenarios. To simulate the energy consumption, the real-world dynamical and electrical data of an autonomous pilot shuttle tested in the Brubels Capital Region are measured. Simulation results show 94.5-96.4% accuracy after validation. To simulate the speed profile of future scenarios, the trajectory is divided into eight sections, each with particular characteristics regarding the type of the road and, thus, different maximum operational speeds. The shuttle's speed profile is reconstructed using the Gipps model based on the segmentation. As the speed profile simulation results match the shuttle's real-world behavior, the model is applied for speed profile generation of future scenarios. Last-mile scenarios' evaluation is accomplished using the presented model.",

keywords = "Autonomous shuttle, energy consumption, scenario assessment",

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AU - De Cauwer, Cedric

AU - Rombaut, Evy

AU - Vanhaverbeke, Lieselot

AU - Coosemans, Thierry

PY - 2023/12/13

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AB - This paper models the behavior of an autonomous shuttle for last-mile application scenarios. To simulate the energy consumption, the real-world dynamical and electrical data of an autonomous pilot shuttle tested in the Brubels Capital Region are measured. Simulation results show 94.5-96.4% accuracy after validation. To simulate the speed profile of future scenarios, the trajectory is divided into eight sections, each with particular characteristics regarding the type of the road and, thus, different maximum operational speeds. The shuttle's speed profile is reconstructed using the Gipps model based on the segmentation. As the speed profile simulation results match the shuttle's real-world behavior, the model is applied for speed profile generation of future scenarios. Last-mile scenarios' evaluation is accomplished using the presented model.

KW - Autonomous shuttle

KW - energy consumption

KW - scenario assessment

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DO - 10.1016/j.trpro.2023.11.784

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JF - Transportation Research Procedia

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T2 - TRA 2022

Y2 - 14 November 2022 through 17 November 2022

ER -

Modeling the behavior of an autonomous shuttle for the evaluation of last-mile solutions

Abstract

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Keywords

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