Results 1 to 10 of about 9,216,131 (297)
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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A Trajectory Compensation Method Considering the Car-Following Behavior for Data Missing of Millimeter-Wave Radar in Roadside Detection Applications [PDF]
Sensors, 2023 Concerning roadside traffic detection applications, and to address the millimeter-wave radar’s missing data problem caused by target occlusion or the absence of features in low-speed conditions, this paper proposes a trajectory compensation method ...
Rui Zhang, Haiqing Liu, Kunmin Teng
doaj +2 more sources
Comparative Evaluation of Microscopic Car-Following Behavior [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2005 Microscopic traffic-simulation tools are increasingly being applied to evaluate the impacts of a wide variety of intelligent transport, systems (ITS) applications and other dynamic problems that are difficult to solve using traditional analytical models. The accuracy of a traffic-simulation system depends highly on the quality of the traffic-flow model
Sakda Panwai, Hussein Dia
openaire +6 more sources
Empirical Analysis of Two-Leader Car-Following Behavior
European Journal of Transport and Infrastructure Research, 2006 Several researchers have proposed that drivers do not just respond to the vehicle directly ahead, but also to the second, and even the third, fourth or fifth vehicle ahead.
Serge P. Hoogendoorn, Saskia Ossen
doaj +3 more sources
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
doaj +2 more sources
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
doaj +1 more source
IEEE Open Journal of Intelligent Transportation Systems, 2023 Sudden lane-changing maneuvers can disrupt the traffic flow. In this paper, we introduce an approach to optimize car-following behavior in response to a lane-changing vehicle in a connected driving environment.
Gihyeob An +2 more
doaj +1 more source
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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Car-Following Dynamics, Characteristics, and Model Based on Interaction Potential Function
Journal of Advanced Transportation, 2022 To model the car-following behavior more accurately, we carried out the molecular similarity analysis between the vehicles on the road and the inert gas system, comparing vehicles with microscopic particles in long and narrow pipes.
Dayi Qu +4 more
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A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles
Journal of Advanced Transportation, 2020 The modeling of car-following behavior is an attractive research topic in traffic simulation and intelligent transportation. The driver plays an important role in car following but is ignored by most car-following models.
Jie Hu, Sheng Luo
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