A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
When the truck brakes frequently, rutting phenomenon will be severe near the stopping line at the intersection of urban roads. With the development of autonomous technology, autonomous truck platoon have been put into use in some ports and surrounding collection and distribution corridors. The rutting problem caused by this new traffic object is different from the rutting phenomenon caused by traditional single human vehicle. The mechanism of its generation is an important topic for future intersection pavement damage management. Therefore, in this research, the specific autonomous driving lanes at urban road intersections is chosen to figure out the influence of the deceleration and the platoon space between trucks in the platoon on the pavement rutting. In this study, finite element simulation of intersection pavement is performed using ABAQUS software. The platoon space within the platoon is used as an explicit input to quantify the effect of deceleration and platoon space near the intersection stopping line. The results show that the autonomous truck has a high degree of robustness. Both of the deceleration speed and platoon spacing are negatively correlated with rutting depth,. The purpose of delaying rutting and prolonging pavement life can be achieved by increasing deceleration speed and platoon space inside the platoon. Further analysis of the correlation coefficient index shows that increasing the deceleration rate is the key factor to slowdown the rutting of intersections. By quantifying the influence of the platoon dynamics parameters on rutting, this study clarifies the influence mechanism of the new traffic object on the existing intersection asphalt pavement. It provides a theoretical basis for improving the adaptability of the existing infrastructure and optimizing the platoon combination of the truck platoon.
When the truck brakes frequently, rutting phenomenon will be severe near the stopping line at the intersection of urban roads. With the development of autonomous technology, autonomous truck platoon have been put into use in some ports and surrounding collection and distribution corridors. The rutting problem caused by this new traffic object is different from the rutting phenomenon caused by traditional single human vehicle. The mechanism of its generation is an important topic for future intersection pavement damage management. Therefore, in this research, the specific autonomous driving lanes at urban road intersections is chosen to figure out the influence of the deceleration and the platoon space between trucks in the platoon on the pavement rutting. In this study, finite element simulation of intersection pavement is performed using ABAQUS software. The platoon space within the platoon is used as an explicit input to quantify the effect of deceleration and platoon space near the intersection stopping line. The results show that the autonomous truck has a high degree of robustness. Both of the deceleration speed and platoon spacing are negatively correlated with rutting depth,. The purpose of delaying rutting and prolonging pavement life can be achieved by increasing deceleration speed and platoon space inside the platoon. Further analysis of the correlation coefficient index shows that increasing the deceleration rate is the key factor to slowdown the rutting of intersections. By quantifying the influence of the platoon dynamics parameters on rutting, this study clarifies the influence mechanism of the new traffic object on the existing intersection asphalt pavement. It provides a theoretical basis for improving the adaptability of the existing infrastructure and optimizing the platoon combination of the truck platoon.
Rutting mechanism of road intersections under the influence of autonomous truck platoon
Easa, Said (editor) / Wei, Wei (editor) / Li, Along (author) / Li, Yi (author)
Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China
Proc. SPIE ; 12790
2023-09-07
Conference paper
Electronic Resource
English
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