Abstract
Promising advances in Autonomous Vehicle (AV) technology have fueled industry and research fields to dedicate significant effort to the study of the integration of AVs into the traffic network. This study focuses on the transition phase between all Human Driven Vehicles (HDVs) in the network to all AVs, where these different vehicle types coexist in a mixed traffic environment. This paper investigates the potential impacts of aggressive merging behaviors by human drivers on traffic performance in a mixed environment. For this, three vehicle types - AVs, HDVs, and Aggressive HDVs (AHDVs) - are modeled in an open-source microscopic traffic simulation model, SUMO. In the developed simulation, the AHDVs are modeled to emulate aggressive merging behaviors in front of AVs at a merge section of a freeway exit ramp. Several experiments are used to study the impact of such behavior. Results show travel time gains by AHDVs at the expense of AVs and HDVs.
| Original language | English |
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| Title of host publication | 2023 Winter Simulation Conference, WSC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1570-1580 |
| Number of pages | 11 |
| ISBN (Electronic) | 9798350369663 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 Winter Simulation Conference, WSC 2023 - San Antonio, United States Duration: Dec 10 2023 → Dec 13 2023 |
Publication series
| Name | Proceedings - Winter Simulation Conference |
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| ISSN (Print) | 0891-7736 |
Conference
| Conference | 2023 Winter Simulation Conference, WSC 2023 |
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| Country/Territory | United States |
| City | San Antonio |
| Period | 12/10/23 → 12/13/23 |
Funding
This manuscript has been co-authored the Georgia Institute of Technology under US Department of Transportation contracts and by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher acknowledges the US government license to provide public access under the USDOT and DOE Public Access Plans (https://www.bts.gov/ntl/public-access, https://energy.gov/downloads/doe-public-access-plan). The information, data, or work presented here was funded in part by the Georgia DOT and the Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), a UTC funded by the USDOT. This work was supported by the Georgia DOT under Grant RP 18-33; and STRIDE under Grant G3.