Open Access
Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
---|---|---|
Article Number | 03035 | |
Number of page(s) | 7 | |
Section | Traffic Construction Engineering and Transportation Optimization | |
DOI | https://doi.org/10.1051/e3sconf/202451203035 | |
Published online | 10 April 2024 |
- Chen, Y., et al., A fast inference vision transformer for automatic pavement image classification and its visual interpretation method. Remote Sensing, 2022. 14(8): p. 1877. [CrossRef] [Google Scholar]
- Liu, Z., et al., Visibility classification and influencing-factors analysis of airport: A deep learning approach. Atmospheric Environment, 2022. 278: p. 119085. [CrossRef] [Google Scholar]
- Li, S., et al., Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm. Construction and Building Materials, 2021. 273: p. 121949. [CrossRef] [Google Scholar]
- Liu, Z., X. Gu, and Q. Dong, Multi-scale 3D display of the internal quality of the pavement based on BIM, in CICTP 2019. 2019. p. 4265-4273. [Google Scholar]
- Wang, D., et al., Automatic detection of pothole distress in asphalt pavement using improved convolutional neural networks. Remote Sensing, 2022. 14(16): p. 3892. [CrossRef] [Google Scholar]
- Ren, H., X. Gu, and Z. Liu, Analysis of mechanical responses for semi-rigid base asphalt pavement based on mls66 accelerated loading test, in CICTP 2021. 2021. p. 732-742. [Google Scholar]
- Liu, Z., et al., Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN. Automation in Construction, 2023. 146: p. 104689. [CrossRef] [Google Scholar]
- Babic, D., M. Fiolic, and D. Zilioniene, Evaluation of static and dynamic method for measuring retroreflection of road markings. GRADEVINAR, 2017. 69(10): p. 907-914. [Google Scholar]
- Liu, Z., Q. Dong, and X. Gu, Permanent deformation evaluation and instability prediction of semi-rigid pavement structure using accelerated pavement testing and finite element method. Journal of Testing and Evaluation, 2024. 52(1). [Google Scholar]
- Xu, Z., et al. An effectiveness study of spc control charts on the quality control for construction in asphalt pavement. in IOP Conference Series: Earth and Environmental Science. 2021. IOP Publishing. [Google Scholar]
- Liu, Z., et al., 3D visualization of airport pavement quality based on BIM and WebGL integration. Journal of Transportation Engineering, Part B: Pavements, 2021. 147(3): p. 04021024. [CrossRef] [Google Scholar]
- Yang, Q., et al., Analysis of the viscosity and self-healing performance of warm-mix recycled asphalt: A method combining molecular dynamics simulations and laboratory tests. Case Studies in Construction Materials, 2023. 19: p. e02593. [CrossRef] [Google Scholar]
- Babic, D., et al., Impact of Road Marking Retroreflectivity on Machine Vision in Dry Conditions: On-Road Test. SENSORS, 2022. 22(4). [Google Scholar]
- Liu, Z., et al., Laboratory evaluation of the performance of reclaimed asphalt mixed with composite crumb rubber-modified asphalt: reconciling relatively high content of RAP and virgin asphalt. International Journal of Pavement Engineering, 2023. 24(1): p. 2217320. [CrossRef] [Google Scholar]
- Babic, D., A. Scukanec, and D. Babic, DETERMINING THE CORRELATION BETWEEN DAYTIME AND NIGHT-TIME ROAD MARKINGS VISIBILITY. BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING, 2016. 11(4): p. 283-290. [CrossRef] [Google Scholar]
- Liu, Z., et al., Novel YOLOv3 model with structure and hyperparameter optimization for detection of pavement concealed cracks in GPR images. IEEE Transactions on Intelligent Transportation Systems, 2022. 23(11): p. 22258-22268. [CrossRef] [Google Scholar]
- Sun, X., et al., Compaction Characteristics of a Foam Asphalt Hot In-Place Recycling Asphalt Mixture. Buildings, 2023. 14(1): p. 58. [CrossRef] [Google Scholar]
- Wang, L., et al., Automatic detection of asphalt pavement thickness: A method combining GPR images and improved Canny algorithm. Measurement, 2022. 196: p. 111248. [CrossRef] [Google Scholar]
- Poscik, A., J. Szkudlarek, and G. Owczarek, Photometric Properties of Retroreflective Materials in Dependence on their Structure and Angle of Illumination. FIBRES & TEXTILES IN EASTERN EUROPE, 2019. 27(3): p. 58-64. [CrossRef] [Google Scholar]
- Liu, Z., et al., Studies on the validity of strain sensors for pavement monitoring: A case study for a fiber Bragg grating sensor and resistive sensor. Construction and Building Materials, 2022. 321: p. 126085. [CrossRef] [Google Scholar]
- Wei, W., et al., Effect of Fractionation Process and Addition of Composite Crumb Rubber-Modified Asphalt on Road Performance Variability of Recycled Asphalt Mixtures with High Reclaimed Asphalt Pavement (RAP) Content. Buildings, 2023. 13(11): p. 2729. [CrossRef] [Google Scholar]
- Liu, Z., Q. Yang, and X. Gu, Assessment of pavement structural conditions and remaining life combining accelerated pavement testing and ground-penetrating radar. Remote Sensing, 2023. 15(18): p. 4620. [CrossRef] [Google Scholar]
- Chen, J., et al., Study on the Reflective Principle and Long-Term Skid Resistance of a Sustainable Hydrophobic Hot-Melt Marking Paint. SUSTAINABILITY, 2023. 15(13). [Google Scholar]
- Liu, Z., et al., Characteristics, mechanisms, and environmental LCA of WMA containing sasobit: an analysis perspective combing viscosity-temperature regression and interface bonding strength. Journal of Cleaner Production, 2023. 391: p. 136255. [CrossRef] [Google Scholar]
- Liu, Z., et al., Permanent Deformation Monitoring and Remaining Life Prediction of Asphalt Pavement Combining Full-Scale Accelerated Pavement Testing and FEM. Structural Control and Health Monitoring, 2023. 2023. [Google Scholar]
- Seflers, M., J. Kreicbergs, and G. Sauter, ENGINEERING, 2021. 16(4): p. 108-125. [Google Scholar]
- Liu, Z., X. Gu, and H. Ren, Rutting prediction of asphalt pavement with semi-rigid base: Numerical modeling on laboratory to accelerated pavement testing. Construction and Building Materials, 2023. 375: p. 130903. [CrossRef] [Google Scholar]
- Liu, Z., X. Gu, and R. Hong, Fire protection and evacuation analysis in underground interchange tunnels by integrating BIM and numerical simulation. Fire, 2023. 6(4): p. 139. [CrossRef] [Google Scholar]
- Long, J., et al., Road distress detection and maintenance evaluation based on ground penetrating radar, in Advances in Civil Function Structure and Industrial Architecture. 2022, CRC Press. p. 474-481. [Google Scholar]
- Liu, Z., et al., GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection. Measurement, 2022. 197: p. 111281. [CrossRef] [Google Scholar]
- Wang, D., et al., Feature extraction and segmentation of pavement distress using an improved hybrid task cascade network. International Journal of Pavement Engineering, 2023. 24(1): p. 2266098. [CrossRef] [Google Scholar]
- Liu, Z., et al., Mechanism and performance of graphene modified asphalt: An experimental approach combined with molecular dynamic simulations. Case Studies in Construction Materials, 2023. 18: p. e01749. [CrossRef] [Google Scholar]
- Yang, Q., et al., Evaluating the Effects of RA on the Rheological Properties and Aging Susceptibility of RAM Asphalt. Buildings, 2023. 14(1): p. 18. [CrossRef] [Google Scholar]
- Liu, Z., et al. System architecture and key technologies for the whole life cycle of smart road. in Journal of Physics: Conference Series. 2021. IOP Publishing. [Google Scholar]
- Liu, Z., et al., Analysis of the dynamic responses of asphalt pavement based on full-scale accelerated testing and finite element simulation. Construction and Building Materials, 2022. 325: p. 126429. [CrossRef] [Google Scholar]
- Shin, S.Y., et al., Assessing the Refractive Index of Glass Beads for Use in Road-marking Applications via Relroreflectance Measurement. CURRENT OPTICS AND PHOTONICS, 2019. 3(5): p. 415-422. [Google Scholar]
- Liu, Z., et al., Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks. Automation in Construction, 2023. 146: p. 104698. [CrossRef] [Google Scholar]
- Dormidontova, T.V. and A.V. Filatova, Research of influence of quality of materials on a road marking of highways, in XXV POLISH -RUSSIAN -SLOVAK SEMINAR -THEORETICAL FOUNDATION OF CIVIL ENGINEERING. 2016. p. 933-937. [Google Scholar]
- Wenzel, K.M., et al., Glass Beads for Road Markings: Surface Damage and Retroreflection Decay Study. APPLIED SCIENCES-BASEL, 2022. 12(4). [Google Scholar]
- Liu, Z., et al., Three-dimensional finite element analysis for structural parameters of asphalt pavement: A combined laboratory and field accelerated testing approach. Case Studies in Construction Materials, 2022. 17: p. e01221. [CrossRef] [Google Scholar]
- Guan, H.Y., et al., Using Mobile LiDAR Data for Rapidly Updating Road Markings. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015. 16(5): p. 2457-2466. [CrossRef] [Google Scholar]
- Lee, S. and B.H. Cho, Evaluating Pavement Lane Markings in Metropolitan Road Networks with a Vehicle-Mounted Retroreflectometer and AI-Based Image Processing Techniques. REMOTE SENSING, 2023. 15(7). [Google Scholar]
- Liu, Z. and X. Gu, Performance evaluation of full-scale accelerated pavement using NDT and laboratory tests: A case study in Jiangsu, China. Case Studies in Construction Materials, 2023. 18: p. e02083. [Google Scholar]
- Liu, Z., et al., Application of a novel EWMA-ϕ chart on quality control in asphalt mixtures production. Construction and Building Materials, 2022. 323: p. 126264. [CrossRef] [Google Scholar]
- He, H.Y., et al., Retroreflective distribution measurements and analysis of road traffic markings, in OPTOELECTRONIC MATERIALS AND DEVICES (ICOMD 2020). 2021. [Google Scholar]
- Liu, Z., X. Gu, and L. Wang, Research on information management of Airport pavement quality based on BIM and GIS integration. Green and intelligent technologies for sustainable and smart asphalt pavements, 2021: p. 432-436. [Google Scholar]
- He, H.Y., et al., Measuring method and standard system for retroreflective traffic marking’s photometric characteristic, in OPTICAL MEASUREMENT SYSTEMS FOR INDUSTRIAL INSPECTION XI. 2019. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.