Automated Emergency Vehicle Control Strategy Based on Automated Driving Controls

This study proposes an integrated driving control strategy by taking advantage of the automated driving technology at the individual vehicle level and the traffic signal preemption strategy at the traffic infrastructure level. This aims to facilitate an automated driving-based emergency vehicle cont...

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Main Authors: Jaehyun (Jason) So, Jiwon Kang, Sangmin Park, Inseon Park, Jongdeok Lee
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/3867921
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spelling doaj-a539090dec87492792b37e914b7979b42020-11-25T01:42:04ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/38679213867921Automated Emergency Vehicle Control Strategy Based on Automated Driving ControlsJaehyun (Jason) So0Jiwon Kang1Sangmin Park2Inseon Park3Jongdeok Lee4The Korea Transport Institute, Room 215, 370 Sicheong-daero, Sejong, Republic of KoreaThe Korea Transport Institute, Room G104, 370 Sicheong-daero, Sejong, Republic of KoreaSmart Transportation Engineering Lab, Ajou University, 206, World Cup-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, Republic of KoreaDream ENG Co., 59, Oncheon-ro, Yuseong-gu, Daejeon, Republic of KoreaThe Korea Transport Institute, Room 425, 370 Sicheong-daero, Sejong, Republic of KoreaThis study proposes an integrated driving control strategy by taking advantage of the automated driving technology at the individual vehicle level and the traffic signal preemption strategy at the traffic infrastructure level. This aims to facilitate an automated driving-based emergency vehicle control and ultimately to achieve efficient and safe control of emergency vehicles. To this end, this study developed the integrated emergency vehicle control logic, implemented the logic in the microscopic traffic simulation environment using the simulation software’s application programming interface capability, and evaluated the impacts of the proposed emergency vehicle control logic in the aspects of mobility and safety with different driving aggressiveness and preemption initiation settings. The study’s results show that the proposed emergency vehicle control logic achieved benefits on mobility and safety and the benefits of emergency vehicle control strategy can be maximized when the signal preemption and the automated driving control operate in collaboration. Therefore, the proposed integrated approach of automated driving controls and signal preemption will be a great reference for enhancing automated driving technologies supporting a safe and fast mobility solution.http://dx.doi.org/10.1155/2020/3867921
collection DOAJ
language English
format Article
sources DOAJ
author Jaehyun (Jason) So
Jiwon Kang
Sangmin Park
Inseon Park
Jongdeok Lee
spellingShingle Jaehyun (Jason) So
Jiwon Kang
Sangmin Park
Inseon Park
Jongdeok Lee
Automated Emergency Vehicle Control Strategy Based on Automated Driving Controls
Journal of Advanced Transportation
author_facet Jaehyun (Jason) So
Jiwon Kang
Sangmin Park
Inseon Park
Jongdeok Lee
author_sort Jaehyun (Jason) So
title Automated Emergency Vehicle Control Strategy Based on Automated Driving Controls
title_short Automated Emergency Vehicle Control Strategy Based on Automated Driving Controls
title_full Automated Emergency Vehicle Control Strategy Based on Automated Driving Controls
title_fullStr Automated Emergency Vehicle Control Strategy Based on Automated Driving Controls
title_full_unstemmed Automated Emergency Vehicle Control Strategy Based on Automated Driving Controls
title_sort automated emergency vehicle control strategy based on automated driving controls
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 0197-6729
2042-3195
publishDate 2020-01-01
description This study proposes an integrated driving control strategy by taking advantage of the automated driving technology at the individual vehicle level and the traffic signal preemption strategy at the traffic infrastructure level. This aims to facilitate an automated driving-based emergency vehicle control and ultimately to achieve efficient and safe control of emergency vehicles. To this end, this study developed the integrated emergency vehicle control logic, implemented the logic in the microscopic traffic simulation environment using the simulation software’s application programming interface capability, and evaluated the impacts of the proposed emergency vehicle control logic in the aspects of mobility and safety with different driving aggressiveness and preemption initiation settings. The study’s results show that the proposed emergency vehicle control logic achieved benefits on mobility and safety and the benefits of emergency vehicle control strategy can be maximized when the signal preemption and the automated driving control operate in collaboration. Therefore, the proposed integrated approach of automated driving controls and signal preemption will be a great reference for enhancing automated driving technologies supporting a safe and fast mobility solution.
url http://dx.doi.org/10.1155/2020/3867921
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AT jiwonkang automatedemergencyvehiclecontrolstrategybasedonautomateddrivingcontrols
AT sangminpark automatedemergencyvehiclecontrolstrategybasedonautomateddrivingcontrols
AT inseonpark automatedemergencyvehiclecontrolstrategybasedonautomateddrivingcontrols
AT jongdeoklee automatedemergencyvehiclecontrolstrategybasedonautomateddrivingcontrols
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