| Title |
Characteristics Analysis of Traffic Flow in BRT section according to Market Penetration Rates of Autonomous Vehicles |
| Authors |
도명식(Do Myungsik);채운혁(Chae UnHyeok) |
| DOI |
https://doi.org/10.12652/Ksce.2024.44.4.0531 |
| Keywords |
시뮬레이션;자율주행자동차;혼입률;통계적 검정;BRT 구간 Simulation;Autonomous vehicle;Market penetration rate;Statistical test;BRT section |
| Abstract |
The purpose of this study is to analyze traffic flow characteristics according to the market penetration rate (MPR) of autonomous vehicles (AV) on road sections where bus rapid transit (BRT) is actually operating. Furthermore, the maximum traffic volume was set through estimation of future traffic demand, and traffic flow characteristics were analyzed through traffic simulation for each scenario considering of a combination of BRT introduction and AV’s MPR. To test statistical significance, Kruskal-Willis test and Jonckheere-Terpstra test were used to examine the impact of the market penetration rate of Autonomous vehicles on travel time and delay time etc. At the same time, the existence of the order relationship among travel time data according to the market penetration rate of autonomous vehicle was examined. As a result of the analysis, it was founded that the travel time significantly decreased as the MPR of AV increases in both intermittent flow and continuous flow environments. In particular, in the case of continuous flow, the law of increasing returns was satisfied in the effect of increasing travel speed and reducing travel time as the MPR of AV increases. The results of this study are expected to be used as a basic information for design plans for road reconstruction and space utilization after the commercialization of AV in the future. |