Modeling Car-Following Behaviour of Turning Movements at Intersections with Consideration of Turning Radius

Fan, Wei; Guo, Yongqing; Liu, Pan; Cai, Zhenggan; Li, Qingyin; Chen, Long

doi:10.1155/2020/8884797

Cited by 5 publications

(7 citation statements)

References 28 publications

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“…Turning is a very common situation when driving a vehicle. 30 In this section, the dynamic response in turning situations is studied. The test vehicle was driven on B roads and decelerated from 40 km/h, 50 km/h, 60 km/h, 70 km/h, and 80 km/h to 30 km/h while executing a continuous curve.…”

Section: Resultsmentioning

confidence: 99%

Factors influencing the dynamic response of protective structures within heavy-duty vehicles in complex transportation conditions

Zou

et al. 2022

Journal of Low Frequency Noise, Vibration and Active Control

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This paper develops a simulated dynamics model focused on the vibration coupling between a heavy-duty vehicle and the protective structure of the payload and verifies it through field experiments, which monitor the dynamic response under complex driving conditions such as uneven surfaces, turning, deceleration, and excessive gradients in real time. Compared with the results of the experiments and the simulations (with numerical methods), it can be found that the model can accurately estimate dynamic response of protective structures. The maximum acceleration at the bottom of the protective structure becomes larger as the amplitude of the road surface roughness increases. Furthermore, when the vehicle turns, the vibration of the protective structure increases sharply with braking, and when the vehicle begins decelerating, the lateral acceleration of the freight increases significantly in the first few seconds. In addition, the maximum acceleration at the bottom of the protective structure increases with the increase in speed when the heavy-duty vehicle is driving on a gradient, but that increase is small when the speed exceeds 80 km/h.

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Section: Resultsmentioning

confidence: 99%

Factors influencing the dynamic response of protective structures within heavy-duty vehicles in complex transportation conditions

Zou

et al. 2022

Journal of Low Frequency Noise, Vibration and Active Control

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“…Both the frequency and severity of crashes show an increased trend [17]. In addition, rural SV crashes occurring between 6:00 p.m. and 12:00 p.m. are unlikely to result in serious injury [29,31]. The same research suggested that serious crashes were more likely to occur during the winter season.…”

Section: Temporal Characteristicsmentioning

confidence: 95%

“…Several traffic characteristics, such as speed limit and traffic volume, were demonstrated to be significantly correlated with rural SV crash severity [29,30]. In detail, crashes occurring on roadways with speed limits below 35 mph or AADT (Annual Average Daily Traffic) above 5000 were more likely to result in less serious injury outcomes due to a safe speed being maintained under car-following conditions [31].…”

Section: Environmental Characteristicsmentioning

confidence: 99%

Investigating Rural Single-Vehicle Crash Severity by Vehicle Types Using Full Bayesian Spatial Random Parameters Logit Model

et al. 2021

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The effect of risk factors on crash severity varies across vehicle types. The objective of this study was to explore the risk factors associated with the severity of rural single-vehicle (SV) crashes. Four vehicle types including passenger car, motorcycle, pickup, and truck were considered. To synthetically accommodate unobserved heterogeneity and spatial correlation in crash data, a novel Bayesian spatial random parameters logit (SRP-logit) model is proposed. Rural SV crash data in Shandong Province were extracted to calibrate the model. Three traditional logit approaches—multinomial logit model, random parameter logit model, and random intercept logit model—were also established and compared with the proposed model. The results indicated that the SRP-logit model exhibits the best fit performance compared with other models, highlighting that simultaneously accommodating unobserved heterogeneity and spatial correlation is a promising modeling approach. Further, there is a significant positive correlation between weekend, dark (without street lighting) conditions, and collision with fixed object and severe crashes and a significant negative correlation between collision with pedestrians and severe crashes. The findings can provide valuable information for policy makers to improve traffic safety performance in rural areas.

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“…Розробці математичного апарату, що описує круговий рух транспортного засобу по горизонтальній дорозі з описом поворотів, присвячена робота [5]. Поведінка слідування автомобіля і зміна смуги руху в транспортному потоці розкрита в роботі [6], розробка моделі слідування за автомобілями, що повертають транспортні засоби на перехрестях, наведена в [7]. Моделі прогнозування руху автомобіля на перехрестях на основі моделі намірів повороту та попередніх траєкторій розглянуті в [8].…”

Section: вступunclassified

“…, залежність (7) За попереднім аналізом входження в поворот по кривій, що описується рівнянням гіперболічного косинуса, є більш сприятливим, порівняно з іншими варіантами, оскільки поєднує більшу плавність зміни кривини в зоні спряження із достатнім радіусом кривини для забезпечення стійкості автомобіля від дії відцентрових сил. За результатами досліджень напрацьовані рекомендації щодо раціональної траєкторії входження в поворот та вибору швидкісного режиму, який забезпечує стійкість та керованість автомобіля при проходженні повороту для різних видів перехрестя, зокрема і під непрямими кутами.…”

Section: результати дослідженняunclassified

Model of passing a turn by a vehicle

Lyashuk,

Rogatynskyi,

Hevko

et al. 2024

JMET

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The car turning model is considered, in particular at an X-shaped intersection with an arbitrary intersection angle of the tracks. The conditions and restrictions that are imposed when the car enters a turn are analyzed. It is shown that, when the car moves from straight to curved sections, angular accelerations acting relative to its vertical axis have a significant influence on the redistribution of the forces of interaction between the wheels and the road surface and, accordingly, on the stability and controllability of the car. The analysis of motion trajectories, which consist of conjugate rectilinear and curvilinear sections and are described by the equations of a circle, a parabola, and a hyperbolic cosine, is provided. It is shown that choosing a trajectory according to the law of parabola and hyperbolic cosine slightly reduces the turning radius of the car, but significantly reduces the curvature gradient in the conjugation zone and, accordingly, reduces angular accelerations and increases the resistance of the car to rotation relative to the vertical axis. For a smooth transition from a straight path to a curved one, a special logistic dependency was used to connect (stitch) different sections of the route. This made it possible to describe the trajectory of the car by a smooth function, the first and second derivatives of which are also smooth functions. For the selection of the trajectory of passing turns with a slight curvature of the route, a dependence in the form of a fourth-degree polynomial, the curvature of which at the point of conjugation is equal to zero, is proposed, which ensures a smooth transition from a straight to a curved section and ensures passing a turn with minimal dynamic loads. The developed model allows you to design the trajectory of turning for various types of intersections in real time and can be used to build dynamic models of car movement along given trajectories, as well as to build simulators for unmanned vehicles.

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Modeling Car-Following Behaviour of Turning Movements at Intersections with Consideration of Turning Radius

Cited by 5 publications

References 28 publications

Factors influencing the dynamic response of protective structures within heavy-duty vehicles in complex transportation conditions

Factors influencing the dynamic response of protective structures within heavy-duty vehicles in complex transportation conditions

Investigating Rural Single-Vehicle Crash Severity by Vehicle Types Using Full Bayesian Spatial Random Parameters Logit Model

Model of passing a turn by a vehicle

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