Results 11 to 20 of about 17,260 (260)
The detection of abnormal lane-changing behavior in road vehicles has applications in traffic management and law enforcement. The primary approach to achieving this detection involves utilizing sensor data to characterize vehicle trajectories, extract ...
Da Xu +3 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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Research on the SSIDM Modeling Mechanism for Equivalent Driver’s Behavior
To solve the problem of smooth switching between the car-following model and lane-changing model, the Intelligent Driver Model (IDM) for a single lane was used to study the driver’s behavior switching mechanism of normally following, generating ...
Rui Fang
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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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Sudden lane-changing maneuvers can disrupt the traffic flow. In this paper, we introduce an approach to optimize car-following behavior in response to a lane-changing vehicle in a connected driving environment.
Gihyeob An +2 more
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Vehicles Lane-changing Behavior Detection
The lane-level localization accuracy is very important for autonomous vehicles. The Global Navigation Satellite System (GNSS), e.g. GPS, is a generic localization method for vehicles, but is vulnerable to the multi-path interference in the urban environment.
Iljoo Baek, Mengwen He
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The Atlas of Lane Changes: Investigating Location-Dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet [PDF]
the article has been accepted for publication during the 24th IEEE Intelligent Transportation Systems Conference (ITSC), 8 pages, 11 ...
Florian Wirthmüller +3 more
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To investigate and compare the lane changing behavior of passenger cars and heavy vehicles during the implementation period (defined as the interval from the start time to the end time of a lane change maneuver), this study applies the gradient boosting ...
Qiangru Shen +4 more
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Lane-Changing Recognition of Urban Expressway Exit Using Natural Driving Data
The traffic environment at the exit of the urban expressway is complex, and vehicle lane-changing behavior occurs frequently, making it prone to traffic conflict and congestion.
Lei Zhao +3 more
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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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