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Open AccessArticle

Goal Estimation of Mandatory Lane Changes Based on Interaction between Drivers

1
Institute of Engineering Innovation, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
2
Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
3
Department of Intelligent Mechatronics, Faculty of Systems Science and Technology, Akita Prefectural University, Akita 015-0055, Japan
4
Department of Robotics, School of Engineering, Tohoku University, Sendai 980-8579, Japan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(9), 3289; https://doi.org/10.3390/app10093289
Received: 3 April 2020 / Revised: 19 April 2020 / Accepted: 5 May 2020 / Published: 8 May 2020
(This article belongs to the Special Issue Intelligent Transportation Systems)
In this paper, we propose a novel method to estimate a goal of surround vehicles to perform a lane change at a merging section. Recently, autonomous driving and advance driver-assistance systems are attracting great attention as a solution to substitute human drivers and to decrease accident rates. For example, a warning system to alert a lane change performed by surrounding vehicles to the front space of the host vehicle can be considered. If it is possible to forecast the intention of the interrupting vehicle in advance, the host driver can easily respond to the lane change with sufficient reaction time. This paper assumes a mandatory situation where two lanes are merged. The proposed method assesses the interaction between the lane-changing vehicle and the host vehicle on the mainstream lane. Then, the lane-change goal is estimated based on the interaction under the assumption that the lane-changing driver decides to minimize the collision risk. The proposed method applies the dynamic potential field method, which changes the distribution according to the relative speed and distance between two subject vehicles, to assess the interaction. The performance of goal estimation is evaluated using real traffic data, and it is demonstrated that the estimation can be successfully performed by the proposed method. View Full-Text
Keywords: goal estimation; lane change; trajectory prediction; autonomous driving goal estimation; lane change; trajectory prediction; autonomous driving
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MDPI and ACS Style

Woo, H.; Sugimoto, M.; Madokoro, H.; Sato, K.; Tamura, Y.; Yamashita, A.; Asama, H. Goal Estimation of Mandatory Lane Changes Based on Interaction between Drivers. Appl. Sci. 2020, 10, 3289. https://doi.org/10.3390/app10093289

AMA Style

Woo H, Sugimoto M, Madokoro H, Sato K, Tamura Y, Yamashita A, Asama H. Goal Estimation of Mandatory Lane Changes Based on Interaction between Drivers. Applied Sciences. 2020; 10(9):3289. https://doi.org/10.3390/app10093289

Chicago/Turabian Style

Woo, Hanwool; Sugimoto, Mizuki; Madokoro, Hirokazu; Sato, Kazuhito; Tamura, Yusuke; Yamashita, Atsushi; Asama, Hajime. 2020. "Goal Estimation of Mandatory Lane Changes Based on Interaction between Drivers" Appl. Sci. 10, no. 9: 3289. https://doi.org/10.3390/app10093289

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