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Title: Roundabout Entry Capacity Estimation under the Condition of Autonomous Vehicle Mixed Traffic Flows
Accession Number: 01764020
Record Type: Component
Abstract: In recent years, increasing number of roundabouts has been implemented in Japan due to their good performance on both safety and efficiency. To evaluate the roundabout operational performance, entry capacity is one of the most important indices. With the development of vehicular technologies, the appearance of autonomous vehicles (AV) will lead to a mixed flow condition which can cause significant impact on roundabout entry capacity. Thus, this paper aims to examine the influence of AVs on the entry capacity through applying a microscopic traffic simulation. Moreover, in order to clearly classify the impacts of AVs, different aggressive levels and the percentage of AVs involved in flows are considered in this paper. The main findings indicated that aggressive AV can increase entry capacity since shorter gap parameters are defined. Additionally, AVs in entry flow performed greater impact on entry capacity than the condition AVs in circulating flow. Then, based on the findings, an adjustment factor f AV is developed to simplify the estimation process. Through comparing MAPE, it can be concluded that entry capacity under the condition AV mixed flow can be well adjusted by f AV .
Supplemental Notes: This paper was sponsored by TRB committee ACP40 Standing Committee on Highway Capacity and Quality of Service.
Report/Paper Numbers: TRBAM-21-02165
Language: English
Corporate Authors: Transportation Research BoardAuthors: Kang, NanZhang, XinNakamura, HidekiPagination: 14p
Publication Date: 2021
Conference:
Transportation Research Board 100th Annual Meeting
Location:
Washington DC, United States Media Type: Web
Features: Figures; References; Tables
TRT Terms: Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-02165
Files: TRIS, TRB, ATRI
Created Date: Dec 23 2020 11:17AM
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