Driver’s attention effect in car-following model with passing under V2V environment

Yadav, Sunita; Redhu, Poonam

doi:10.1007/s11071-023-08548-x

Cited by 20 publications

(2 citation statements)

References 64 publications

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“…Therefore, many scholars actively have engaged in traffic flow modeling research to investigate the underlying causes of traffic congestion. Currently, traffic micro models [1][2][3][4][5][6][7][8][9][10][11][12][13] and macro models [14][15][16][17][18][19][20] are advantageous in investigating traffic phenomena. Especially, Natagani [21][22][23] provided original lattice models to reproduce complex traffic phenomena on a single lane and two lanes, which can demonstrate the evolution process of traffic flux, density and speed.…”

Section: Introductionmentioning

confidence: 99%

Speed limit effect during lane change in a two-lane lattice model under V2X environment

Jin 金,

Peng 彭,

Nie 聂

2024

Chinese Phys. B

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The speed limit measures are ubiquitous due to the complexity of the road environment, which can be supplied with the help of vehicle to everything (V2X) communication technology. Therefore, the influence of speed limit on traffic system will be investigated to construct a two-lane lattice model accounting for the speed limit effect during lane change process under V2X environment. Accordingly, the stability condition and the mKdV equation are closely associated with the speed limit effect through theory analysis. Moreover, the evolution of density and hysteresis loop is simulated to demonstrate the positive role of the speed limit effect on traffic stability at the cases of strong reaction intensity and high limited speed.

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Section: Introductionmentioning

confidence: 99%

Speed limit effect during lane change in a two-lane lattice model under V2X environment

Jin 金,

Peng 彭,

Nie 聂

2024

Chinese Phys. B

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“…The advancement of computing and sensing has made the field of autonomous driving a hot research area in recent years [1]. Path following, as an indispensable technological aspect of autonomous driving, aims to ensure that the vehicle adheres to the predetermined reference path [2]. The autonomous ground vehicle presents itself as a promising architectural solution for the implementation of path following, due to its notable attributes of increased adaptability, maneuverability, and efficient transmission.…”

Section: Introductionmentioning

confidence: 99%

Neuro-Adaptive Path following Control of Autonomous Ground Vehicles with Input Deadzone

Maaruf,

Mysorewala

2024

Preprint

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This article investigates the path-following control problem of an autonomous ground vehicle (AGV) with unknown external disturbances and input deadzones. Neural networks are used to estimate unknown external disturbances, dead zones, and nonlinear functions. A backstepping control is proposed to facilitate the tracking of the target path. The steady-state path-following error is decreased by adding an integral error term to the backstepping controller. Command filtering is employed to address the explosion of the complexity issue of the conventional backstepping approach, and the filtering error is compensated via an auxiliary signal. Lyapunov stability study indicates that the AGV closed-loop system is bounded by the proposed control with reasonable accuracy. At last, simulations are given to demonstrate the potential of the proposed scheme in path-following control.

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Analysis of passing behavior on car-following model under the influence of cyberattacks

Yadav,

Redhu

2024

Nonlinear Dyn

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Driver’s attention effect in car-following model with passing under V2V environment

Cited by 20 publications

References 64 publications

Speed limit effect during lane change in a two-lane lattice model under V2X environment

Speed limit effect during lane change in a two-lane lattice model under V2X environment

Neuro-Adaptive Path following Control of Autonomous Ground Vehicles with Input Deadzone

Analysis of passing behavior on car-following model under the influence of cyberattacks

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