Results 11 to 20 of about 2,687 (216)
IEEE Access, 2020 This study developed a pair of lane changing (LC) model and car following (CF) model. They are used to investigate mutually adaptive maneuver of LC vehicle (LCV) and its immediate CF vehicle during the LCV's inserting process.
Guiping Wang +5 more
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World Electric Vehicle Journal, 2023 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
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Transportation Research Interdisciplinary Perspectives, 2021 For realistic traffic flow simulation and analysis, it is essential to discuss car-following behaviors in detail, while most studies only concentrate on the heterogeneity according to vehicle types based on the unstable observable variables.
Jinghua Wang +3 more
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Interactive Car-Following: Matters but NOT Always
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023 Accepted by 26th IEEE International Conference on Intelligent Transportation Systems ITSC ...
Chengyuan Zhang 0002 +5 more
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A CNN-LSTM Car-Following Model Considering Generalization Ability
Sensors, 2023 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
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Empirical Description of Car-Following [PDF]
, 2007 This contribution reports a recently recorded data-set that helps to understand the car-following process better. Since the empirical basis of most traffic flow models can be called weak, these findings may help to design better models. They demonstrate, that the process of car-following seems to have a very interestic stochastic dynamics.
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Do drivers change their manual car-following behaviour after automated car-following? [PDF]
Cognition, Technology & Work, 2020 AbstractThere is evidence that drivers’ behaviour adapts after using different advanced driving assistance systems. For instance, drivers’ headway during car-following reduces after using adaptive cruise control. However, little is known about whether, and how, drivers’ behaviour will change if they experience automated car-following, and how this is ...
Tyron Louw +6 more
openaire +2 more sources
A Heterogeneity-Aware Car-Following Model: Based on the XGBoost Method
AlgorithmsWith 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 +1 more source
Identifying suitable car-following models to simulate automated vehicles on highways
International Journal of Transportation Science and Technology, 2023 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
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Applied SciencesTunnel–interchange connecting sections pose significant safety challenges on mountainous expressways due to their high incidence of accidents. Improving road safety necessitates a comprehensive understanding of driver behavior in such areas.
Zhenhua Sun +4 more
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