Results 61 to 70 of about 272 (116)

A Study of Human-like Lane-Changing Strategies Considering Driving Style Characteristics

World Electric Vehicle Journal
To address the ‘mechanical’ return to original lane and similar non-humanized lane-changing issues that may occur in existing intelligent driving systems after completing overtaking maneuvers, this study proposes a humanized lane-changing decision method
Xingwei Zhang, Wen Sun, Jingbo Zhao, Jiangtao Wang   +3 more
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MODELING OF CAR-FOLLOWING AND LANE-CHANGING BEHAVIOR ON THE EXPRESSWAY

MODELING OF CAR-FOLLOWING AND LANE-CHANGING BEHAVIOR ON THE EXPRESSWAY
主査：鈴木 ...
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MODELING OF CAR-FOLLOWING AND LANE-CHANGING BEHAVIOR ON THE EXPRESSWAY

, 2014
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Modeling the Impact of Lane-Changing's Anticipation on Car-Following Behavior

SSRN Electronic Journal, 2022
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Kequan Chen, Victor L. Knoop, Pan Liu, Zhibin Li, Yuxuan Wang   +4 more
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Driver lane changing behavior

Proceedings of 2011 International Conference on Computer Science and Network Technology, 2011
Understanding the human behaviors in driving is a highly complex topic but on the other hand, extremely important for improving human's driving competence by developing driver assistant systems accordingly and finally accomplishing fully autonomous vehicles and road systems. There are many excellent researches in this area for decades.
null Xiaokai He, null Jiajun Hu, null Jialiang Lu, null Min-You Wu, Benoit Guerin   +4 more
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An analysis of driver's workload in the lane change behavior

2013 International Conference on ICT Convergence (ICTC), 2013
In this paper, we measured and analyzed the driver's EEG for lane change behavior to measure and quantify drivers' workload. The experiment took place in the real road. We extracted the reference and the lane change behavior section and calculated the EEG variation rates from the EEG values.
Hyunsuk Kim, Yoonsook Hwang, Daesub Yoon, Cheong Hee Park   +3 more
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Lane Changing Interaction Behavior and Model

CICTP 2015, 2015
Lane changing models are an essential component of microscopic traffic simulation. This paper considered the interaction among vehicles and investigated the lane changing interaction characteristics of vehicles and models of dynamic relationship by introducing the following required safe distance.
Da-yi Qu, Wen-jiao Chen, Xiu-feng Chen, Zi-lin Wang   +3 more
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Recognition of fast lane changing behavior

AIP Conference Proceedings, 2014
Aiming at the lane change behavior recognition requirements of lane change warning system, natural lane change samples were captured by using a test vehicle. Steering angle and distance between vehicle and lane mark were used as characteristic parameters of lane change behavior.
Yingshi Guo, Chang Wang
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Modeling Integrated Lane-Changing Behavior

Transportation Research Record: Journal of the Transportation Research Board, 2003
The lane-changing model is an important component within microscopic traffic simulation tools. Following the emergence of these tools in recent years, interest in the development of more reliable lane-changing models has increased. Lane-changing behavior is also important in several other applications such as capacity analysis and safety studies.
Tomer Toledo, Haris N. Koutsopoulos, Moshe E. Ben-Akiva   +2 more
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Complex Lane Change Behavior in the Foresighted Driver Model

2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015
This paper presents a general model for lane-change decision and dynamic lane change behavior based on the Foresighted Driver Model. Differently to previous models, it does not rely on indirect features like gap lengths, TTC or decelerations, but it models the lane change process by explicitly calculating the involved risks and benefits of the ...
Julian Eggert, Florian Damerow
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