Results 1 to 10 of about 4,154,700 (310)
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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FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling [PDF]
Scientific Data, 2023 Car-following is a control process in which a following vehicle adjusts its acceleration to keep a safe distance from the lead vehicle. Recently, there has been a booming of data-driven models that enable more accurate modeling of car-following through ...
Xianda Chen +8 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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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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World Electric Vehicle Journal, 2023 To address traffic congestion in urban expressways during the transition from wide to narrow sections, this study proposed a car-following strategy based on deep reinforcement learning.
Pinpin Qin +4 more
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Comfort and Safety in Conditional Automated Driving in Dependence on Personal Driving Behavior
IEEE Open Journal of Intelligent Transportation Systems, 2023 When changing from active driving to conditional automated driving (CAD), the question arises whether users still prefer their own driving behavior while being a passenger.
Laurin Vasile +4 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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Action-points in human driving and in SUMO
SUMO Conference Proceedings, 2022 When following a vehicle, drivers change their acceleration at so called action-points (AP), and keep it constant in between them. By investigating a large data-set of car-following data, the state- and time-distributions of the APs is analyzed.
Peter Wagner +2 more
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A Reinforcement Learning Framework for Video Frame-Based Autonomous Car-Following
IEEE Open Journal of Intelligent Transportation Systems, 2021 Car-following theory has received considerable attention as a core component of Intelligent Transportation Systems. However, its application to the emerging autonomous vehicles (AVs) remains an unexplored research area.
Mehdi Masmoudi +3 more
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