A new car-following model considering driver’s desired visual angle on sharp curves

Zhang, Xiangzhou; Shi, Zhongke; Yu, Son-Cheol; Ma, Lijing

doi:10.1016/j.physa.2023.128551

Cited by 10 publications

(2 citation statements)

References 46 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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“…Zhang [13] proposed a bi-directional visual angle car-following model considering collision sensitivity, which improved the dynamic characteristics and driving safety of car-following and lane-changing in the traffic flow. Zhang [14] proposed a small-radius curve following model that considers the driver's desired visual angle based on the impact of two-point preview steering decisions and parking sight distance on small-radius curve following behavior from the perspective of the driver's visual characteristics. Liu et al [15] optimized traffic at signalized intersections by incorporating short-term driving memory on driver behavior.…”

Section: Introductionmentioning

confidence: 99%

A Method for Extracting Traffic Parameters from Drone Videos to Assist Car-Following Modeling

Zhang,

Shi

2024

IJACSA

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A new method for extracting traffic parameters from UAV videos to assist in establishing a car-following model is proposed in this paper. The improved ShuffleNet network and GSConv module were introduced into the Yolov7-tiny neural network model as the target detection stage. HOG features and IOU motion metrics are introduced into the DeepSort multiobject tracking algorithm as the tracking matching stage. By building a self-built UAV aerial traffic data set, experiments were conducted to prove that the new method improved a few detection and tracking indicators. In addition, it improves the false detection, missed detection, wrong ID conversion and other phenomena of the previous algorithm, and improves the accuracy and lightweight of multi-target tracking. Finally, gray correlation was applied to analyze the traffic parameters extracted by the new method, and the driver's visual perception of collision was introduced into the car-following model. Through stability analysis, small disturbance simulation and collision risk assessment, the newly proposed traffic flow parameter extraction method has been proven to improve the dynamic characteristics and safety of the car-following model, and can be used to alleviate traffic congestion and improve driving safety.

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Analysis and improvement of car-following stability for connected automated vehicles with multiple information uncertainties

Zhou

2023

Applied Mathematical Modelling

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A new car-following model considering driver’s desired visual angle on sharp curves

Cited by 10 publications

References 46 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

A Method for Extracting Traffic Parameters from Drone Videos to Assist Car-Following Modeling

Analysis and improvement of car-following stability for connected automated vehicles with multiple information uncertainties

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