Results 11 to 20 of about 17,260 (259)

Lane-Level Road Map Construction considering Vehicle Lane-Changing Behavior

open access: yesJournal of Advanced Transportation, 2022
In recent years, the construction of lane-level road maps has received extensive attention from industry and academia. It has been widely studied because this kind of map provides the foundation for much research, such as high-precision navigation ...
Liang Fan   +4 more
doaj   +2 more sources

Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approach

open access: yesAlexandria Engineering Journal
The lane-changing maneuvers are challenging and contributes to traffic accidents and crashes. They are complicated task that often lead to an increased risk of vehicle collisions and deteriorates traffic flow. This paper proposes a vehicle collision risk
Muhammad Sameer Sheikh, Yinqiao Peng
doaj   +2 more sources

Empirical study of lane-changing behavior on three Chinese freeways. [PDF]

open access: yesPLoS One, 2018
Lane-changing (LC) behavior is investigated on Chinese freeways, where the driving circumstances are relatively aggressive. Three data sets were collected from urban expressways and an intercity highway in the form of traffic videos. Different aspects of LC behaviors are analyzed, i.e., the LC rate, motivation, target lane choice and impact on traffic.
Guo M, Wu Z, Zhu H.
europepmc   +5 more sources

Research on the SSIDM Modeling Mechanism for Equivalent Driver’s Behavior

open access: yesWorld Electric Vehicle Journal, 2023
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
doaj   +1 more source

Lane-Changing Behavior Prediction Based on Game Theory and Deep Learning

open access: yesJournal of Advanced Transportation, 2021
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
doaj   +1 more source

An Optimized Car-Following Behavior in Response to a Lane-Changing Vehicle: A Bézier Curve-Based Approach

open access: yesIEEE Open Journal of Intelligent Transportation Systems, 2023
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
doaj   +1 more source

Vehicles Lane-changing Behavior Detection

open access: yesCoRR, 2018
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
openaire   +2 more sources

How Do Vehicles Make Decisions during Implementation Period of Discretionary Lane Change? A Data-Driven Research

open access: yesJournal of Advanced Transportation, 2023
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
doaj   +1 more source

Lane-Changing Recognition of Urban Expressway Exit Using Natural Driving Data

open access: yesApplied Sciences, 2022
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
doaj   +1 more source

Driver Lane-Changing Behavior Prediction Based on Deep Learning

open access: yesJournal of Advanced Transportation, 2021
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
doaj   +1 more source

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