Research on the Range of Asphalt Pavement Disease-Prone Area at Urban Intersection
Publication: International Conference on Road and Airfield Pavement Technology 2023
ABSTRACT
The asphalt pavement disease-prone area refers to the areas where diseases such as ruts, cracks, and other diseases are prone to occur due to traffic channelization, repeated braking and stopping of vehicles at urban intersection, and the performance of asphalt pavement in this area is often poor. Taking several typical intersections in Changsha urban area as the research object, the multi-functional road condition rapid detection device was used to detect the outer second lane of each driving direction of intersection, and the pavement indexes including pavement surface condition index (PCI), pavement riding quality index (RQI), pavement rutting depth index (RDI), pavement surface wearing index (PWI), pavement bumping index (PBI), etc. were obtained with 10 m as the unit. The 35 sets of data obtained were normalized and analyzed in correlation. The pavement maintenance quality index (PQI) was calculated, and the probability distribution model was used to study the range of disease-prone area at urban intersection. The results show that all pavement indexes in the range of intersection decrease significantly. The length of the disease-prone area of the upstream lane of the stop line is significantly greater than that of the downstream lane. RDI has the strongest correlation with other indexes, and rutting is the most important disease form of asphalt pavement at intersection. The PQI conforms to the characteristics of Gumbel distribution model within the range of intersection. The PQI at 7.44 m away from the stop line of the upstream lane obtains a minimum value, and the maximum value of PQI is obtained at infinite distance from the stop line. The area in the first 40 m and back 125 m of the stop line can be identified as the disease-prone area.
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REFERENCES
Fang, M. J., Han, C. J., Xiao, Y., et al. (2020). Prediction modelling of rutting depth index for asphalt pavement using de-noising method. International Journal of Pavement Engineering, 21(7), 895-907. doi:
Guo Runhua, Xu Li, Peng Huiting, et al. (2021). Pavement roughness index measurements with a 3D line laser. Journal of Tsinghua University (Science and Technology) (11), 1316-1324. doi:.
Huang Jia, Zhao Xiaowen, Xu Ruicong, et al. (2019). “Analysis on Shear Strength and Rut of Asphalt Pavement at Urban Road Intersection.” J. Hunan Communication Science and Technology, 45(03), 1-4+15.
Ma Huixu. (2015). “Study on load characteristics and rutting prevention of asphalt pavement at urban road intersections.” M.S. thesis, Chongqing: Southeast University.
Piryonesi, S. M. (2019). The Application of Data Analytics to Asset Management: Deterioration and Climate Change Adaptation in Ontario Roads (PhD dissertation). University of Toronto.
Zhao Wenlong. (2018). “Study on the Formation Mechanism of Ruts on Asphalt Pavement at Bus Stops/Intersections.” M.S. thesis, Changsha, Hunan: Hunan University of Science and Technology.
Zhu Hongzhou, Zhu Zhenjing. (2018). “A summary of the influence of interlayer bonding state of asphalt pavement on the stress state of pavement.” Journal of China and Foreign Highway, 38(04), 69-75.
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Published online: Feb 6, 2024
ASCE Technical Topics:
- Asphalt pavements
- Business management
- Diseases
- Gravels
- Health hazards
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Intersections
- Pavement condition
- Pavement rutting
- Pavements
- Practice and Profession
- Public administration
- Public health and safety
- Transportation engineering
- Urban and regional development
- Urban areas
- Vehicle-pavement interaction
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