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Analysis of Right Turning Vehicle Operation Characteristics at Intersections Using Trajectory Data

Shi, Ruolin and Wang, Xuesong and Leich, Andreas and Saul, Hagen and Bei, Xiaoxu and Sohr, Alexander (2023) Analysis of Right Turning Vehicle Operation Characteristics at Intersections Using Trajectory Data. Transportation Research Board (TRB) 102nd Annual Meeting, 2023-01-09 - 2023-01-11, Washington D.C., Vereinigte Staaten von Amerika.

Full text not available from this repository.

Abstract

The implementation of human-like control in autonomous vehicles greatly benefits from a thorough investigation of the operation characteristics of right-turning vehicles at intersections, including driving behavior, speed, and path characteristics. But most existing studies consider the right-turning speed, path, and behavior characteristics separately, so the analysis of turning speeds considering different driving styles is rarely combined with the path model. Therefore, based on trajectory data, this paper made a comprehensive analysis. Firstly, conflicts at an intersection were extracted using extended Time-To-Collision (ETTC) as the indicator and the driving behaviors of right-turning vehicles were divided into aggressive and normal styles. Secondly, a binary Logit model was built to study the significant influencing variables on driving behavior choice after relevant variables were screened by Random Forest. Finally, the relationship between path and speed was considered, and the influencing factors of speed curves under different driving styles were analyzed. The results show that the minimum speed, the mean speed, the mean speed in the lateral direction, and the number of general conflict points around the right-turning vehicles have the greatest influence on driving behavior choice. The acceleration and deceleration stages of aggressive and normal speed curves are affected by different factors, such as vehicle types, the speed into turning stage, and the minimum ETTC value. In this paper, the operation characteristics of right-turning vehicles at an intersection were analyzed as a whole, and the conclusions can lay a foundation for the development of human-like autonomous driving and the construction of path planning models.

Item URL in elib:https://elib.dlr.de/193824/
Document Type:Conference or Workshop Item (Poster)
Additional Information:https://annualmeeting.mytrb.org/OnlineProgram/Details/19466
Title:Analysis of Right Turning Vehicle Operation Characteristics at Intersections Using Trajectory Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Shi, RuolinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wang, XuesongUNSPECIFIEDhttps://orcid.org/0000-0001-9522-4098UNSPECIFIED
Leich, AndreasUNSPECIFIEDhttps://orcid.org/0000-0001-5242-2051UNSPECIFIED
Saul, HagenUNSPECIFIEDhttps://orcid.org/0000-0001-6961-7883UNSPECIFIED
Bei, XiaoxuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sohr, AlexanderUNSPECIFIEDhttps://orcid.org/0000-0001-6698-2092UNSPECIFIED
Date:9 January 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:traffic safety, trajectories, surrogate measure of safety, right-turning vehicle, behavior
Event Title:Transportation Research Board (TRB) 102nd Annual Meeting
Event Location:Washington D.C., Vereinigte Staaten von Amerika
Event Type:international Conference
Event Start Date:9 January 2023
Event End Date:11 January 2023
Organizer:National Academies
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems
Institute of Transportation Systems > Cooperative Systems, BA
Institute of Transportation Systems > Design and Evaluation of Mobility Solutions, BA
Institute of Transportation Systems > Information Gathering and Modelling, BA
Deposited By: Saul, Hagen
Deposited On:24 Feb 2023 15:57
Last Modified:24 Apr 2024 20:54

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