Results 1 to 10 of about 843 (112)
An Intelligent Evolving Car-Following Model
The existing data-driven car-following models do not take structural and range variations of velocity and acceleration into account. This paper develops a new approach to address both structural and range variations in the car-following process through ...
Majid Abdollahzade, Reza Kazemi
doaj +2 more sources
Adaptive Car Following Model [PDF]
The vehicle dynamics was a very lot developed in the last twenty years. There is a huge gap in the different vehicle models in this field. Researchers need accurate the car following models because of it.
Mika Péter
doaj +2 more sources
Fusion Modeling Method of Car-Following Characteristics [PDF]
Car-following model is indispensable to evaluate the characteristics of car-following behaviors. Through an analysis and comparison of data-driven and theoretically driven car-following models, it shows that the data-driven model has poor ...
Yufang Li +3 more
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A Heterogeneity-Aware Car-Following Model: Based on the XGBoost Method
With the rising popularity of the Advanced Driver Assistance System (ADAS), there is an increasing demand for more human-like car-following performance.
Kefei Zhu +4 more
doaj +3 more sources
In this study, the physical principles governing car-following (CF) behavior and their impact on traffic flow at signalized intersections are investigated. High temporal-resolution radar data is used to provide valuable insights into actual CF behavior,
Max Schrader +2 more
doaj +1 more source
Despite the significant impact of network hyperparameters on deep learning car-following models, there has been relatively little research on network hyperparameters of deep learning car-following models.
Pinpin Qin +5 more
doaj +1 more source
Research on Short-Term Driver Following Habits Based on GA-BP Neural Network
The current commercial intelligent driving systems still take the optimal strategy judged by the machine to be the only goal. Therefore, in order to improve the driving experience of the intelligent driving following scene, based on the assumption that ...
Cheng Wu +6 more
doaj +1 more source
Identifying suitable car-following models to simulate automated vehicles on highways
This study addresses car-following models that are currently used for simulating AV and CAV. Diverse car-following models, Intelligent Driver Model (IDM), Improved IDM (IIDM), IIDM with Constant-Acceleration Heuristic (CAH), and MIcroscopic model for ...
Bumsik Kim, Kevin P. Heaslip
doaj +1 more source
A CNN-LSTM Car-Following Model Considering Generalization Ability
To explore the potential relationship between the leading vehicle and the following vehicle during car-following, we proposed a novel car-following model combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network. Firstly,
Pinpin Qin +4 more
doaj +1 more source
Bayesian Calibration of Car-Following Models
Abstract Recent research has revealed that there exist large inter-driver differences in car-following behavior such that different car-following models may apply to different drivers. This study applies Bayesian techniques to the calibration of car-following models, where prior distributions on each model parameter are converted to posterior ...
Van Hinsbergen, C.P.IJ. (author) +3 more
openaire +4 more sources

