Results 1 to 10 of about 18,788,717 (252)
A CNN-LSTM Car-Following Model Considering Generalization Ability [PDF]
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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A car-following model of CAVs integrating state information from multiple leading and single following vehicles [PDF]
Scientific ReportsTo uncover the root causes of congestion in traffic flows involving connected and autonomous vehicles (CAVs) and improve stability, the multi-leading and single-following vehicles state information car-following (MLSFICF) model for CAVs is introduced in ...
Yongsheng Chen, Guozhu Cheng
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Parameter calibration method for car-following models under snowy weather conditions: Integrating an informer time series encoder and physics-informed neural networks. [PDF]
PLoS ONEUnder snowy weather conditions, factors such as road conditions and weather conditions significantly affect vehicle car-following behavior. Traditional car-following models struggle to accurately capture driving characteristics on slippery roads.
Yaping Sun +3 more
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SUMO Conference Proceedings, 2023 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
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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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An Intelligent Evolving Car-Following Model
IEEE Access, 2023 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
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Research on Short-Term Driver Following Habits Based on GA-BP Neural Network
World Electric Vehicle Journal, 2022 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
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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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Transmission Capacity Analysis for Vehicular Ad Hoc Networks
IEEE Access, 2018 Traditional studies focused on the transmission capacity of vehicular ad hoc network (VANET) contains two deficiencies: the lack of a realistic model mimicking the behaviors of vehicles and the failure to consider the impacts from enhanced distributed ...
Xinxin He, Weisen Shi, Tao Luo
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IEEE Access, 2020 In this study, to explore the demand characteristics of autonomous coaches in mixed traffic flow, two sections of an expressway were selected for vehicle experiments.
Chen Zhao +3 more
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