| 1. |
- Cafiso, S., et al.
(författare)
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Distress and profile data analysis for condition assessment in pavement management systems
- 2019
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Ingår i: International Journal of Pavement Research and Technology. - : Springer Science and Business Media LLC. - 1996-6814 .- 1997-1400. ; 12:5, s. 527-536
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Tidskriftsartikel (refereegranskat)abstract
- Pavement data collection is the most expensive and time consuming component of Pavement Management System (PMS). Thus, possible methods of minimizing the need of such data might be critical in reducing pavement condition monitoring costs. Also the ability to relate pavement performance prediction models (frequently roughness based) to hot mix asphalt field performance models (distress based) provides valuable conclusions and input in pavement design, performance assessment, maintenance and rehabilitation strategies. Objective of this study was to examine whether specific distresses can influence roadway profile so as to be able to relate the two. The influence of pavement distresses on road profile has been investigated over the years. However, past studies provided conflicting conclusions. Thus, in this study an alternative approach was considered due to the availability of high quality and detailed distress data collected with the Laser Crack Measurement System (LCMS) of the Automatic Road Analyzer, ARAN. As it was expected, specific distresses have higher impact in longitudinal roughness since they are present on the roadway surface at regular intervals (i.e., specific frequencies). For this reason, instead of using summary indexes (i.e., International Roughness Index (IRI), Pavement Condition Index (PCI)), the Power Spectral Density (PSD) of the roadway profile at specific frequency bandwidths was considered along with distresses. The analysis indicated that a specific subset of distresses is affecting roughness at definite wavelength frequencies. Alligator cracking and rutting standard deviation provided the best correlation. IRI was correlated better with distress (e.g. rutting standard deviation) at lower profile frequencies. At high frequency domain (i.e., below 0.8 m wavelengths) better correlation between IRI and high severity cracking was observed through the PSD. Considering multiple frequencies in the regression models between roughness and distresses, the goodness of fit has not necessarily improved. However, the role of different bandwidths was evident. In addition to the specific results, the methodology presented in this study can be used elsewhere to assess potential relations between pavement roughness and distress components.
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| 2. |
- Cafiso, S., et al.
(författare)
-
Information modeling for road asset management
- 2019
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Ingår i: International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. - : AIP Publishing. - 9780735418547 ; 2116
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Konferensbidrag (refereegranskat)abstract
- The introduction of high efficiency and multifunctional equipment for road survey increase not only the quality but also the possibility of integration of different source of data to increase the value of the information. The present research work, starting from a common data source, the Automatic Road Analyzer (ARAN) of the University of Catania, shown as data surveyed with ARAN can be used to develop an advanced Road Information Model (RIM) for the Road Asset Management (RAM). A RIM model makes possible to improve the flexibility in information access and to merge data with the aim to allow a complete RAM application in the same environment. Data collected and stored with high efficiency equipment allows to get high quality and detailed information of the road asset and offers the chance to create georeferenced database which can be used both for safety assessment and for the other RAM related applications. BIM provides a comprehensive approach involving the generation and management of transport infrastructure assets using 3D digital representations of their physical and functional characteristics allowing to produce ad hoc output for investigate in the same environment different parts of the RAM.
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| 3. |
- Cafiso, S., et al.
(författare)
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Zastosowanie i porównanie różnych metod analizy konfliktów ruchowych - Studium przypadku drogi 2+1
- 2021
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Ingår i: Archives of Civil Engineering. - 1230-2945. ; 67:1, s. 619-634
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Tidskriftsartikel (refereegranskat)abstract
- Safety Performance Functions and Crash Modification Factors are statistically-based prediction methods that require significant efforts and long periods in crash data collection. Traffic conflict studies can mitigate this issue using a short time survey to measure the number and severity of traffic conflicts, which are regarded as surrogate safety measures. Unfortunately, they are empirical studies that can be carried out only after the implementation of a treatment. The overall objective of the present research is to investigate the performance of different methods for conflict detection and classification, considering the observed conflicts on 2+1 roads in Poland. Observations were compared with conflicts detected in simulated environments. The latter include either the Agent-Based Microsimulation (ABM) approach, or the virtual reality simulation using a Driving Simulator (DS). Conflicts were detected and classified based on video recording and analysis of vehicle trajectories in the merging area of 2+1 roads. The studies focused only on lane-changing conflicts. Locations, Post Encroachment Time and Time to Collision values of observed conflicts between vehicles were subsequently identified. Observed conflicts were compared with the ones resulting from ABM and DS, to determine whether there is a correlation between them.
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| 4. |
- Hays, Jennifer M., et al.
(författare)
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Hybrid Refinement of Heterogeneous Conformational Ensembles Using Spectroscopic Data
- 2019
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Ingår i: The Journal of Physical Chemistry Letters. - : American Chemical Society (ACS). - 1948-7185. ; 10:12, s. 3410-3414
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Tidskriftsartikel (refereegranskat)abstract
- Multistructured biomolecular systems play crucial roles in a wide variety of cellular processes but have resisted traditional methods of structure determination, which often resolve only a few low-energy states. High-resolution structure determination using experimental methods that yield distributional data remains extremely difficult, especially when the underlying conformational ensembles are quite heterogeneous. We have therefore developed a method to integrate sparse, multimultimodal spectroscopic data to obtain high-resolution estimates of conformational ensembles. We have tested our method by incorporating double electron-electron resonance data on the soluble N-ethylmaleimide-sensitive factor attachment receptor (SNARE) protein syntaxin-1a into biased molecular dynamics simulations. We find that our method substantially outperforms existing state-of-the-art methods in capturing syntaxins open-closed conformational equilibrium and further yields new conformational states that are consistent with experimental data and may help in understanding syntaxin's function. Our improved methods for refining heterogeneous conformational ensembles from spectroscopic data will greatly accelerate the structural understanding of such systems.
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