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Published in 2017 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-016-3268-1
Abstract: In the light of Konishi et al.’s car-following model, considering safe headway effect of the two preceding cars on the following one, a novel feedback control scheme in the discrete car-following model is proposed. The…
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Keywords:
traffic;
following model;
control;
model ... See more keywords
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Published in 2018 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-018-4318-7
Abstract: In this paper, we propose an extension of the optimal velocity car-following model to consider explicitly the timid and aggressive driving behavior as well as the traffic jerk. The linear stability condition of the new…
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Keywords:
traffic jerk;
traffic;
following model;
car following ... See more keywords
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Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.05.040
Abstract: Abstract In this paper, based on the full velocity difference model, and with the consideration of the difference between the driver’s psychological and actual headways, an extended heterogeneous car-following model is developed to investigate the…
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Keywords:
traffic;
following model;
model;
car following ... See more keywords
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1
Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.06.069
Abstract: The Full velocity difference (FVD) model considers the velocity difference, but it cannot capture the acceleration/deceleration asymmetric characteristic. This paper points out that the response of drivers to the velocity difference is influenced by the…
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Keywords:
space;
response;
model;
car following ... See more keywords
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0
Published in 2021 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2021.125949
Abstract: Abstract To address the out-of-the-loop problem of the automated driving, a human-machine cooperative scheme for car-following control of the connected and automated vehicles (CAVs) is proposed. The proposed scheme can keep the drivers always in…
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Keywords:
control;
machine cooperative;
scheme;
car following ... See more keywords
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Published in 2021 at "Physica D: Nonlinear Phenomena"
DOI: 10.1016/j.physd.2021.133016
Abstract: Abstract In this study, an equation-free method is used to perform bifurcation analyses of various artificial neural network (ANN) based car-following models. The ANN models were trained on Multiple Car Following (MCF) model output data…
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Keywords:
ann model;
model;
car following;
bifurcation ... See more keywords
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1
Published in 2019 at "Transportation Research Part F: Traffic Psychology and Behaviour"
DOI: 10.1016/j.trf.2017.12.017
Abstract: Abstract This study explored human error risk factors in car-following behaviors, cognitive resource bottlenecks and performance impairment mechanisms in the context of cognitive capacity while driving on foggy roads. Firstly, a hierarchical driving behavior assessment…
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Keywords:
distance;
car following;
following performance;
actr cognitive ... See more keywords
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Published in 2019 at "Transportation Research Part F: Traffic Psychology and Behaviour"
DOI: 10.1016/j.trf.2018.10.011
Abstract: Mobile phone distraction has been recognized as an adverse factor that degrades drivers’ performance on road. Although research showed that drivers take various compensatory strategies to minimize the risk in distracted driving, little consensus has…
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Keywords:
collision;
mobile phone;
car following;
collision risk ... See more keywords
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Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.03.002
Abstract: Abstract Hybrid electric vehicles (HEVs) provide large potential to save energy and reduce emission, and smart vehicles bring out great convenience and safety for drivers. By combining these two technologies, vehicles may achieve excellent performances…
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Keywords:
fuel consumption;
car following;
process;
consumption ... See more keywords
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1
Published in 2018 at "IET Intelligent Transport Systems"
DOI: 10.1049/iet-its.2018.5303
Abstract: Calibration of car-following models plays an important role not only in traffic simulation but also in the estimation of traffic-related energy consumption. However, the majority of calibration studies only focus on errors on position or…
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Keywords:
estimation;
fuel consumption;
car following;
calibration ... See more keywords
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Published in 2022 at "Traffic Injury Prevention"
DOI: 10.1080/15389588.2022.2062334
Abstract: Abstract Objective The purpose of the study was to investigate the factors associating the car-following behavior, which could lead to rear-end crash potential. The safe distance in this study was when the traffic flow was…
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Keywords:
rear end;
crash potential;
car following;
end crash ... See more keywords