TY  - JOUR
PY  - 2023//
TI  - Optimal design of input parameters for autonomous driving patterns considering longitudinal vehicle behavior
JO  - Transactions of the Korean Society of Automotive Engineers
A1  - Lee, Junyoung
A1  - Kim, Jinmyeong
A1  - Jhon, Jihoon
A1  - Kim, Youngsam
A1  - Suh, Myungwon
A1  - Lee, Junghwan
SP  - 371
EP  - 378
VL  - 31
IS  - 5
N2  - With the development of highly automated autonomous vehicle technology, the role of human beings has changed from that of an active driver to a passive passenger. So, many studies that evaluate the preference for autonomous driving from the user's point of view are being actively conducted. Research related to autonomous driving is mainly performed by using simulation-based technology in a virtual environment, or using real vehicles for testing purposes. The test method that uses virtual environment driving simulations allows the same conditions to be repeatedly provided to the test driver. Likewise, autonomous driving patterns can be defined in numerical values, so autonomous driving patterns that suit various driver preferences can be implemented. In this study, an optimal design with 13 parameters for a comfortable pattern that minimizes the standard deviation of the longitudinal acceleration of the ego car was performed. To examine the new autonomous driving pattern, simulations set in two situations for surrounding vehicles were performed.<p />  <p>Language: ko</p>
LA  - ko
SN  - 1225-6382
UR  - http://dx.doi.org/10.7467/KSAE.2023.31.5.371
ID  - ref1
ER  -