Results 11 to 20 of about 5,474,804 (287)
Driver Lane-Changing Behavior Prediction Based on Deep Learning
A correct lane-changing plays a crucial role in traffic safety. Predicting the lane-changing behavior of a driver can improve the driving safety significantly. In this paper, a hybrid neural network prediction model based on recurrent neural network (RNN)
Cheng Wei, Fei Hui, Asad J. Khattak
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Mathematical Modeling and Parameter Estimation of Lane-Changing Vehicle Behavior Decisions
Lane changing is a crucial scenario in traffic environments, and accurately recognizing and predicting lane-changing behavior is essential for ensuring the safety of both autonomous vehicles and drivers.
Jianghui Wen +3 more
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Lane-Changing Behavior Prediction Based on Game Theory and Deep Learning
Lane changing is an important scenario in traffic environments, and accurate prediction of lane-changing behavior is essential to ensure traffic and driver safety.
Shuo Jia +4 more
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Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections
As the accident-prone sections and bottlenecks, highway weaving sections will become more complicated when it comes to the mixed-traffic environments with connected and automated vehicles (CAVs) and human-driven vehicles (HVs).
Wei Hao +5 more
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The behavior of changing lanes has a great impact on road traffic with heavy traffic. Traffic flow density is one of the important parameters that characterize the characteristics of traffic flow, and it will also be affected by the behavior of changing ...
Han Xie, Juanxiu Zhu, Huawei Duan
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Modeling of Lane Changing Behavior of Connected Driving Based on Vehicle Interaction Potential
Aiming at the interactive behavior of vehicles changing lanes in the intelligent network traffic environment, the relative position of vehicle, speed, acceleration, and steering angle are introduced to correct the molecular interaction potential, and the
Juan Li +4 more
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An entropy-based analysis of lane changing behavior: An interactive approach [PDF]
As a novelty, this article proposes the nonadditive entropy framework for the description of driver behaviors during lane changing. The authors also state that this entropy framework governs the lane changing behavior in traffic flow in accordance with the long-range vehicular interactions and traffic safety.The nonadditive entropy framework is the new
Koşun, Çağlar, Özdemir, Serhan
openaire +5 more sources
Modeling Lane-Changing Behavior in Freeway Off-Ramp Areas from the Shanghai Naturalistic Driving Study [PDF]
The objective of this study is to investigate lane-changing characteristics in freeway off-ramp areas using Shanghai Naturalistic Driving Study (SH-NDS) data, considering a four-lane freeway stretch in various traffic conditions.
Lanfang Zhang +5 more
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In this paper, the decision-making model of discretionary lane-changing is established using cumulative prospect theory (CPT). Through analyzing the vehicles’ dynamic running states, safety spacing calculating approaches for discretionary lane-changing ...
Xueqin Long +3 more
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Lane-Changing Model of Intelligent Connected Vehicle Considering the Factor of Turn Signal
Unsafe lane-changing behaviors can easily lead to traffic accidents. Drivers usually turn on their turn signals to signal surrounding vehicles before changing lanes.
Yi Shao +3 more
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