Results 1 to 10 of about 9,744,661 (308)

A CNN-LSTM Car-Following Model Considering Generalization Ability [PDF]

open access: yesSensors, 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
doaj   +3 more sources

FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling [PDF]

open access: yesScientific 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
doaj   +3 more sources

A Reinforcement Learning Framework for Video Frame-Based Autonomous Car-Following

open access: yesIEEE 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
doaj   +2 more sources

Hybrid Solution Combining Kalman Filtering with Takagi–Sugeno Fuzzy Inference System for Online Car-Following Model Calibration [PDF]

open access: yesSensors, 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
doaj   +2 more sources

Adaptive Car Following Model [PDF]

open access: yesJournal 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
doaj   +2 more sources

An Investigation into the Appropriateness of Car-Following Models in Assessing Autonomous Vehicles [PDF]

open access: yesSensors, 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
doaj   +2 more sources

On the Car-Following Theory

open access: yesPromet (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
doaj   +2 more sources

Identifiability of car-following dynamics [PDF]

open access: yesPhysica 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
openaire   +3 more sources

Car-Following Models: A Multidisciplinary Review [PDF]

open access: yesIEEE Transactions on Intelligent Vehicles, 2023
Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems (ADAS).
T. Zhang   +4 more
semanticscholar   +1 more source

Research on transformer and long short-term memory neural network car-following model considering data loss

open access: yesMathematical Biosciences and Engineering, 2023
There is limited research on the loss and reconstruction of car-following features. To delve into car-following's characteristics, we propose a car-following model based on LSTM-Transformer.
Pinpin Qin   +4 more
doaj   +1 more source

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