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IEEE transactions on intelligent transportation systems (Print), 2019
The machine learning-based car-following models are widely adopted to control the longitudinal movements of automated vehicles, such as Google Car and Apple Car, by mimicking the human drivers’ car-following maneuver.
D. Yang +4 more
semanticscholar +1 more source
The machine learning-based car-following models are widely adopted to control the longitudinal movements of automated vehicles, such as Google Car and Apple Car, by mimicking the human drivers’ car-following maneuver.
D. Yang +4 more
semanticscholar +1 more source
The density wave in a car-following model
Journal of Physics A: Mathematical and General, 2002Summary: According to the optimal-velocity model, the condition for stable traffic flow is deduced. Nonlinear analysis shows that the density fluctuation in traffic flow itself induces two types of local density waves. A weak fluctuation occurring near the stability state in a wide range of headways forms a soliton determined by the Korteweg-de Vries ...
Zhou, Xianjun, Liu, Zhongzhu, Luo, Jun
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GenFollower: Enhancing Car-Following Prediction with Large Language Models
IEEE Transactions on Intelligent VehiclesAccurate modeling of car-following behaviors is essential for various applications in traffic management and autonomous driving systems. However, current approaches often suffer from limitations like high sensitivity to data quality and lack of ...
Xianda Chen +6 more
semanticscholar +1 more source
Comparison of Microscopic Car following Models
2019 International Conference on Systems of Collaboration Big Data, Internet of Things & Security (SysCoBIoTS), 2019In traffic engineering, traffic congestion problems become a serious problem that reduces significantly urban mobility. Microscopic simulation models are among different techniques which have been proposed to alleviate this problem. To analyze a variety of complex and dynamic traffic problems, microscopic traffic simulation determines the movements of ...
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Dynamic performance and safety analysis of car-following models considering collision sensitivity
, 2021Shuaiyang Jiao +4 more
semanticscholar +1 more source
A Fuzzy Logic-Based Anticipation Car-Following Model
2018The human drivers in a real world decide and act according to their experience, logic, and judgments. In contrast, mathematical models act according to mathematical equations that ensure the precision of decision to take. However, these models do not provide a promising simulation and they do not reflect the human behaviors. In this context, we present
Bennajeh, Anouer +3 more
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A Two-Condition Continuous Asymmetric Car-Following Model for Adaptive Cruise Control Vehicles
IEEE Transactions on Intelligent VehiclesAdaptive cruise control (ACC) vehicles have the potential to impact traffic flow dynamics. To better understand the impacts of ACC vehicles on traffic flow, an accurate microscopic car-following model for ACC vehicles is essential.
Mingfeng Shang +2 more
semanticscholar +1 more source
AggFollower: Aggressiveness Informed Car-Following Modeling
IEEE Transactions on Intelligent VehiclesCar-following is the most common driving scenario where a following vehicle follows a lead vehicle in the same lane. One crucial factor of car-following behavior is driving style which affects speed and gap selection, acceleration pattern, and fuel consumption.
Xianda Chen +7 more
openaire +2 more sources