Empirical distributions of traffic loads from one year of weigh-in-motion data

Author:

Iervolino IunioORCID,Baltzopoulos GeorgiosORCID,Vitale Antonio,Grella Antonio,Bonini Giovanni,Iannaccone Antonio

Abstract

AbstractIn the state-of-the-art of structural engineering the actions for design or assessment of bridges should derive from a probabilistic (i.e., frequentist) characterization of the loads. Data from weigh-in-motion (WIM) systems can inform stochastic models for traffic loads. However, WIM is not widespread, and data of this kind are scarce in the literature and often not recent. Due to structural safety reasons, the 52 km long A3 highway in Italy, connecting the cities of Naples and Salerno, has been equipped with a WIM system which has been operational since the beginning of 2021. The system’s measurements of each vehicle transiting over the WIM devices, impede overloads on the many bridges featured in the transportation infrastructure. By the time of this writing the WIM system has seen one year of uninterrupted operation, collecting more than thirty-six million datapoints in the meantime. This short paper presents and discusses these WIM measurements, deriving the empirical distributions of traffic loads and making the original data available for further research and applications.

Funder

Consiglio Superiore dei Lavori Pubblici - ReLUIS research agreement.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference26 articles.

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2. AASHTO. Load and Resistance Factor Design, Bridge Design Specifications. (Association of State Highway and Transportation Officials, Washington, D.C., 2020).

3. Wiśniewski, D. F., Casas, J. R. & Ghosn, M. Codes for Safety Assessment of Existing Bridges—Current State and Further Development. Structural Engineering International 22, 552–561 (2012).

4. OBrien, E. J. et al. A review of probabilistic methods of assessment of load effects in bridges. Structural Safety 53, 44–56 (2015).

5. Consiglio Superiore dei Lavori Pubblici (CS.LL.PP.). Linee guida per la classificazione e la gestione del rischio, la valutazione della sicurezza ed il monitoraggio dei ponti esistenti (in Italian). (2020).

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