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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Online Access: | http://dx.doi.org/10.1155/2020/3867921 |
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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 |
work_keys_str_mv |
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1715689991643856896 |