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Enhancing driver’s attention and overtaking efficiency in car-following model for Advanced Driver Assistance Systems (ADAS) vehicles
Physica A: Statistical Mechanics and its Applications,
2025
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An intellectual drivers' sensitivity traffic model for adapting taillight effects
Nonlinear Dynamics,
2024
DOI:10.1007/s11071-024-09964-3
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Modeling and stability analysis of car-following behavior for connected vehicles by considering driver characteristic
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering,
2024
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Vehicle Traffic Flow Prediction Based on Developing the Safety Distance Model
2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA),
2024
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Analysis of passing behavior on car-following model under the influence of cyberattacks
Nonlinear Dynamics,
2024
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Analysis of passing behavior on car-following model under the influence of cyberattacks
Nonlinear Dynamics,
2024
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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering,
2024
DOI:10.1177/09544070221145478
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Impact of the visibility effect on phase transitions in lattice hydrodynamic model under the bad weather traffic environment
Chinese Journal of Physics,
2024
DOI:10.1016/j.cjph.2024.01.035
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Prediction of Car-Following Behavior of Autonomous Vehicle and Human-Driven Vehicle Based on Drivers’ Memory and Cooperation With Lead Vehicle
Transportation Research Record: Journal of the Transportation Research Board,
2024
DOI:10.1177/03611981231195051
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A mixed-flow model for heterogeneous vehicles enforcing a movement control protocol utilizing a vehicular size-based equilibrium speed function
Heliyon,
2024
DOI:10.1016/j.heliyon.2024.e23975
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A novel car-following model incorporating advance reaction time with passing
The European Physical Journal Plus,
2024
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An improved microscopic traffic model for heterogeneous vehicles using the vehicle's mass effect
Heliyon,
2023
DOI:10.1016/j.heliyon.2023.e16731
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Modeling and simulation of traffic flow based on memory effect and driver characteristics
Chinese Journal of Physics,
2023
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Improved Car-Following Model for Connected Vehicles Considering Backward-Looking Effect and Motion Information of Multiple Vehicles
Journal of Transportation Engineering, Part A: Systems,
2023
DOI:10.1061/JTEPBS.TEENG-7430
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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering,
2023
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Modeling and simulation of traffic flow based on memory effect and driver characteristics
Chinese Journal of Physics,
2023
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Driver’s attention effect in car-following model with passing under V2V environment
Nonlinear Dynamics,
2023
DOI:10.1007/s11071-023-08548-x
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[18]
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Heterogeneous lattice hydrodynamic model and jamming transition mixed with connected vehicles and human-driven vehicles
Physica A: Statistical Mechanics and its Applications,
2023
DOI:10.1016/j.physa.2023.128903
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Prediction of Car-Following Behavior of Autonomous Vehicle and Human-Driven Vehicle Based on Drivers’ Memory and Cooperation With Lead Vehicle
Transportation Research Record: Journal of the Transportation Research Board,
2023
DOI:10.1177/03611981231195051
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Using information theory to detect model structure with application in vehicular traffic systems
IFAC-PapersOnLine,
2023
DOI:10.1016/j.ifacol.2023.12.051
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Modeling and simulation of traffic flow based on memory effect and driver characteristics
Chinese Journal of Physics,
2023
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Using information theory to detect model structure with application in vehicular traffic systems
IFAC-PapersOnLine,
2023
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An improved microscopic traffic model for heterogeneous vehicles using the vehicle's mass effect
Heliyon,
2023
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Mixed-Flow Traffic Model for Heterogeneous Vehicles Introducing a Movement Control Protocol Based on Vehicle Sizes
SSRN Electronic Journal ,
2022
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A dynamical traffic flow model for a cognitive drivers' sensitivity in Lagrangian scope
Scientific Reports,
2022
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The “backward-looking” effect in the continuum model considering a new backward equilibrium velocity function
Nonlinear Dynamics,
2021
DOI:10.1007/s11071-021-06894-2
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