Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정정주 | - |
dc.date.accessioned | 2022-05-06T00:22:05Z | - |
dc.date.available | 2022-05-06T00:22:05Z | - |
dc.date.issued | 2020-09 | - |
dc.identifier.citation | 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), page. 1691-1696 | en_US |
dc.identifier.isbn | 978-1-7281-4149-7 | - |
dc.identifier.uri | https://xplorestaging.ieee.org/document/9294371 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/170599 | - |
dc.description.abstract | In this paper, we propose a vehicle longitudinal control with a velocity profile for stop and go (SG) operation. A three-phase velocity profile is proposed to achieve smooth velocity control for stop and go operation. The proposed velocity profile makes the vehicle stop at the desired stationary point without overshooting. Given the maximum deceleration limit, we design a velocity profile for the first and second phases until the vehicle passes a setpoint near before the stop point. Once the vehicle passes the setpoint, the car is controlled by a position controller to make a complete stop at the stop point. The three-phase velocity profile considers the maximum jerk, the maximum acceleration, time to collision, and distance to go. With the proposed method, we can achieve the SG operation, providing a comfortable ride to passengers. The proposed SG operation method is compared with conventional adaptive cruise control. From the computational study, we confirm that the proposed method shows satisfactory performances for various initial speed and distance to the stationary point with CarSim and MATLAB/Simulink. | en_US |
dc.description.sponsorship | This work was supported by the Industrial Source Technology Development Program (No.10082585, Development of deep learning-based open EV platform technology capable of autonomous driving) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea). | en_US |
dc.language.iso | en | en_US |
dc.publisher | 2020 IEEE Intelligent Transportation Systems Conference | en_US |
dc.title | Vehicle Longitudinal Control with Velocity Profile for Stop and Go Operation | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ITSC45102.2020.9294371 | - |
dc.relation.page | 1691-1696 | - |
dc.contributor.googleauthor | Kang, Tae Won | - |
dc.contributor.googleauthor | Choi, Woo Young | - |
dc.contributor.googleauthor | Yang, Jin Ho | - |
dc.contributor.googleauthor | Lee, Seung-Hi | - |
dc.contributor.googleauthor | Chung, Chung Choo | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | cchung | - |
dc.identifier.orcid | https://orcid.org/0000-0002-3262-9300 | - |
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