Study on Vehicle–Road Interaction for Autonomous Driving

Guo, Runhua; Liu, Siquan; He, Yulin; Li, Xu

doi:10.3390/su141811693

Cited by 4 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These signals pertain to accelerations in various locations of a vehicle [29]. These locations are chosen in such a way that the driving comfort can be evaluated [30][31][32][33]. Other quantities are forces, which most often pertain to the driving safety.…”

Section: Research Of Driving Of a Vehicle With A Trailer With Various...mentioning

confidence: 99%

Investigation of Driving Stability of a Vehicle–Trailer Combination Depending on the Load’s Position Within the Trailer

Dižo

Blatnický

Dróździel

et al. 2023

Acta Mechanica Et Automatica

View full text Add to dashboard Cite

Passenger cars are a means of transportation used widely for various purposes. The category that a vehicle belongs to is largely responsible for determining its size and storage capacity. There are situations when the capacity of a passenger vehicle is not sufficient. On the one hand, this insufficient capacity is related to a paucity in the space needed for stowing luggage. It is possible to mount a rooftop cargo carrier or a roof basket on the roof of a vehicle. If a vehicle is equipped with a towbar, a towbar cargo carrier can be used for improving its space capacity. These accessories, however, offer limited additional space, and the maximal load is determined by the maximal payload of the concerned vehicle. If, on the other hand, there is a requirement for transporting a load with a mass or dimensions that are greater than what could be supported using these accessories, then, provided the vehicle is equipped with a towbar, a trailer represents an elegant solution for such demanding requirements. A standard flat trailer allows the transportation of goods of various characters, such as goods on pallets, bulk material, etc. However, the towing of a trailer changes the distribution of the loads, together with changes of loads of individual axes of the vehicle–trailer axles. The distribution of the loads is one of the key factors affecting the driving properties of a vehicle–trailer combination in terms of driving stability, which is mainly a function of the distribution of the load on the trailer. This research introduces a study into how the distribution of the load on a trailer influences the driving stability of a vehicle–trailer combination. The research activities are based on simulation computations performed in a commercial multibody software. While the results presented in the article are reached for a particular vehicle–trailer combination as well as for a particular set of driving conditions, the applicability of the findings can also be extended more generally to the impact that the load distributions corresponding to various vehicle–trailer combinations have on the related parameters and other driving properties.

show abstract

Section: Research Of Driving Of a Vehicle With A Trailer With Various...mentioning

confidence: 99%

Investigation of Driving Stability of a Vehicle–Trailer Combination Depending on the Load’s Position Within the Trailer

Dižo

Blatnický

Dróździel

et al. 2023

Acta Mechanica Et Automatica

View full text Add to dashboard Cite

show abstract

“…The degree of friction between the wheel and the pavement depends on the properties of the texture structure, which determines the skidding resistance of the pavement surface [1,2]. In recent years, vehicle overload has accelerated the attenuation of pavement skidding resistance, thereby seriously reducing the travel safety [3,4]. To effectively improve the anti-skidding performance and enhance road traffic safety, Chen et al [5] developed a set of measuring equipment and proposed a multi-scale representation method for texture features using a 3D laser scanner.…”

Section: Introductionmentioning

confidence: 99%

Research on the Skidding Resistance and Attenuation Characteristics of Asphalt Pavement Based on Image Recognition-Analysis Strategy

Zhang,

Xi,

Zhao

et al. 2024

Coatings

View full text Add to dashboard Cite

To accurately evaluate the skidding resistance of asphalt pavements, a texture imaging device was developed to realize the standardized acquisition of pavement images. Based on the gray-level co-occurrence matrix and multifractal theory of texture structure, the influence of segregation degree and gradation type on the texture properties of asphalt pavement was studied. Meanwhile, a comprehensive evaluation index of skidding resistance was proposed for asphalt pavement. Furthermore, the attenuation characteristics of the anti-skidding performance for asphalt mixture were explored, and the corresponding attenuation model of asphalt pavement was established. The results show that the segregation degree and gradation type significantly affected the texture parameters and anti-skidding performance of asphalt mixture. Specially, with an increase in the segregation degree of coarse aggregate, the parameters of energy, entropy, and multifractal spectrum width gradually increased, whereas the inertial moment gradually decreased. The variation range of the multifractal spectrum difference initially increased and subsequently decreased. For the texture parameters such as energy, entropy, inertial moment, and multifractal spectrum width Δα, the values of the asphalt mixture with larger nominal maximum particle were higher than those of the mixture with smaller nominal maximum particle, whereas the multifractal spectrum difference value showed the opposite law. In addition, the texture parameters of energy, entropy, and multifractal spectrum width exhibited good linear correlation with the texture depth (TD) of asphalt mixtures with various segregation levels and gradation types. The index based on the texture parameters of energy, entropy, and multifractal spectrum width effectively evaluated the skidding resistance of asphalt pavements, which showed the same trend as the TD with the increase of the abrasion number. The achievement provides an effective solution for the evaluation of skidding resistance and attenuation characteristics of asphalt mixtures.

show abstract

“…In recent years, the implementation of automated driving technology into trucks has garnered significant attention due to its potential to provide a range of benefits to freight transportation, including reduced operational costs, improved fuel efficiency, and enhanced road safety [1][2][3][4][5][6][7]. However, it is essential to consider the potential differences between automated trucks (ATs) and human-driven trucks (HDTs), which could impact pavement performance differently [1,2,[8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Automated Trucks’ Impact on Pavement Fatigue Damage

Yeganeh,

Vandoren,

Pirdavani

2024

Applied Sciences

View full text Add to dashboard Cite

The automated truck’s steering system can potentially control its lateral movement (i.e., wander mode) within the lane. The controlled wander mode of automated trucks could affect the transverse loading distribution of the wheels and consequently influence pavement fatigue damage in the long term. This study examines the effects of potential wander modes on pavement fatigue damage, considering the effects of lane width, market penetration rate, flexible pavement layers’ thickness, and stiffness of the materials. This study uses a finite element model to calculate the flexible pavement response. The mechanistic–empirical method is used to compute the total fatigue damage index for a specific design period, incorporating the wander mode effect. Comparing the fatigue damage indices indicates that automated trucks could either reduce the damage index value from −1.41% to −7.05% (i.e., mitigator scenario) or increase it from +11.6% to +278.57% (i.e., aggravator scenario), depending on their deployment scenarios. Moreover, the findings show that using a uniform-wander mode instead of a zero-wander mode or increasing the thickness and stiffness of the pavement layers could effectively reduce the adverse effect of automated trucks on fatigue damage and reduce the damage indices from −0.06% to −42.95%. However, their impact is considerably influenced by market penetration rate and lane width.

show abstract

Study on Vehicle–Road Interaction for Autonomous Driving

Cited by 4 publications

References 37 publications

Investigation of Driving Stability of a Vehicle–Trailer Combination Depending on the Load’s Position Within the Trailer

Investigation of Driving Stability of a Vehicle–Trailer Combination Depending on the Load’s Position Within the Trailer

Research on the Skidding Resistance and Attenuation Characteristics of Asphalt Pavement Based on Image Recognition-Analysis Strategy

Automated Trucks’ Impact on Pavement Fatigue Damage

Contact Info

Product

Resources

About