@article{ref1,
title="Automated driving aggressiveness for traffic management in automated driving environments",
journal="Journal of Korean Society of Transportation",
year="2018",
author="Lee, Seolyoung and Oh, Minsoo and Oh, Cheol and Jeong, Eunbi and Kim, Kiyong",
volume="36",
number="1",
pages="38-50",
abstract="Emerging automated driving environments will lead to a mixed traffic flow depending on the interaction between automated vehicles (AVs) and manually driven vehicles (MVs) because the market penetration rate (MPR) of AVs will gradually increase over time. Understanding the characteristics of mixed traffic conditions, and developing a method to control both AV and MV maneuverings smoothly is a backbone of the traffic management in the era of automated driving. To facilitate smooth vehicle interactions, the maneuvering of AVs should be properly determined by various traffic and road conditions, which motivates this study. This study investigated whether the aggressiveness of AV maneuvering, defined as automated driving aggressiveness (ADA), affect the performance of mixed traffic flow. VISSIM microscopic simulation experiments were conducted to derive proper ADAs for satisfying both the traffic safety and the operational efficiency. Traffic conflict rates and average travel speeds were used as indicators for the performance of safety and operations. While conducting simulations, level of service(LOS) and market penetration rate(MPR) of AVs were also taken into considerations. <br><br>RESULTS implies that an effective guideline to manage the ADA under various traffic and road conditions needs to be developed from the perspective of traffic operations to optimize traffic performances.   <p /> <p>Language: ko</p>",
language="ko",
issn="1229-1366",
doi="10.7470/jkst.2018.36.1.038",
url="http://dx.doi.org/10.7470/jkst.2018.36.1.038"
}