Results 1 to 10 of about 262,883 (261)
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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Hybrid Solution Combining Kalman Filtering with Takagi–Sugeno Fuzzy Inference System for Online Car-Following Model Calibration [PDF]
Sensors, 2020 Nowadays, the intelligent transportation concept has become one of the most important research fields. All of us depend on mobility, even when we talk about people, provide services, or move goods.
Mădălin-Dorin Pop +3 more
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An Investigation into the Appropriateness of Car-Following Models in Assessing Autonomous Vehicles [PDF]
Sensors, 2021 The dramatic progress of Intelligent Transportation Systems (ITS) has made autodriving technology extensively emphasised. Various models have been developed for the aim of modelling the behaviour of autonomous vehicles and their impacts on traffic ...
Akito Higatani, Wafaa Saleh
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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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Adaptive Car Following Model [PDF]
Journal of Mechanical Engineering, 2018 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
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Traffic experiment reveals the nature of car-following. [PDF]
PLoS One, 2014 As a typical self-driven many-particle system far from equilibrium, traffic flow exhibits diverse fascinating non-equilibrium phenomena, most of which are closely related to traffic flow stability and specifically the growth/dissipation pattern of disturbances. However, the traffic theories have been controversial due to a lack of precise traffic data.
Jiang R +7 more
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Promet (Zagreb), 2012 The article deals with bumper-to-bumper driving. A .systemicapproach to car-following (bumper-to-bumper driving)i.s described and the mathematical model has been developedand solved.
Janez Usenik, Milan Batista
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Identifiability of car-following dynamics [PDF]
Physica D: Nonlinear Phenomena, 2022 The advancement of in-vehicle sensors provides abundant datasets to estimate parameters of car-following models that describe driver behaviors. The question of parameter identifiability of such models (i.e., whether it is possible to infer its unknown parameters from the experimental data) is a central system analysis question, and yet still remains ...
Yanbing Wang +2 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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IEEE Access, 2023 This study aims to generate test cases for scenario-based assessment of automated driving systems (ADS) when encounter a cut-out maneuver where the lead vehicle having changed lanes, revealing a new lead vehicle that, in some cases, is slower than the ...
H. Muslim +8 more
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