PSI - Issue 84
Galileo Tamasi et al. / Procedia Structural Integrity 84 (2026) 725–732
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repairs and warnings that specifically address the vulnerabilities of the diverted light-vehicle flow (Chae et al., 2024; Shah and Axelsen, 2016). 4. Conclusions and future developments The present study has outlined a holistic framework for highway work zone management, transitioning from a purely technical approach to a systemic paradigm centered on resilience and proactive safety. The first fundamental pillar of this strategy is the operationalization of network resilience through the strategic integration of external road networks. By shifting from a reactive "emergency detour" logic to a data-driven, case-by-case capacity assessment, highway operators can leverage national and provincial roads as a vital capacity buffer. This process is formally embedded within the Change Management and Risk Assessment protocols defined by the Ansfisa Safety Management System (SGS), ensuring that traffic reallocation for light vehicles is always balanced with the structural and safety limits of the secondary network. The second pillar addresses the microscopic safety risks associated with this traffic separation model, which draws inspiration from the distinction between general and commercial aviation. Recognizing the skill gap between professional haulers and light-vehicle drivers, the proposed strategy moves beyond traditional crash mitigation factors to focus on precursor events. Through the deployment of V2I (Vehicle-to-Infrastructure) communication and ADAS integration, it is possible to monitor real-time reductions in separation distances and trajectory misalignments. The use of logistic regression models to correlate these missed separation events with environmental, infrastructural, and signaling parameters allows for a continuous update of occurrence models, transforming safety management into a proactive preventive science. The next phase of this research aims to transition from theoretical modeling and high-fidelity simulations to field experimentation. Future developments will focus on the implementation of these solutions within a large-scale, multi institutional collaborative framework. Such a pilot project would require the coordinated efforts of highway operators, local road network managers, the Ministry of Infrastructure and Transport, the Traffic Police (Polizia Stradale), and Ansfisa. This inter-institutional cooperation is essential to harmonize data sharing, synchronize signaling protocols across different jurisdictions, and validate the legal and operational framework of V2I-based safety warnings. By testing these integrated mitigation strategies in a "real-world lab", the goal is to refine predictive models and establish a national standard for work zone management that guarantees operational continuity without compromising the safety of workers and users. This collaborative paradigm represents a definitive step toward a more resilient and technologically advanced national mobility system References Afshar, N., Azadivar, F., 1992. A simulation study of traffic control procedures at highway work zones, in: Proceedings of the 24th Conference on Winter Simulation, WSC ’92. Association for Computing Machinery, New York, NY, USA, pp. 1210–1216. https://doi.org/10.1145/167293.167895 Agriesti, S.A.M., Ponti, M., Marchionni, G., Gandini, P., 2021. Cooperative messages to enhance the performance of L3 vehicles approaching roadworks. Eur. Transp. Res. Rev. 13, 1. https://doi.org/10.1186/s12544-020-00457-z Amini, S., Motamedidehkordi, N., Papapanagiotou, E., Busch, F., 2017. Estimation of traversal speed on multi-lane urban arterial under non recurring congestion, in: 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). Presented at the 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pp. 514–519. https://doi.org/10.1109/MTITS.2017.8005726 Astarita, V., Giofrè, V.P., Guido, G., Festa, D.C., 2014. Traffic Delays Estimation in Two-lane Highway Reconstruction. Procedia Computer Science, The 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014) 32, 331–338. https://doi.org/10.1016/j.procs.2014.05.432 Bazhanov, A.P., 2019. General issues of assessing the reliability of roads. IOP Conf. Ser.: Mater. Sci. Eng. 632, 012012. https://doi.org/10.1088/1757-899X/632/1/012012 Chae, M., Voghell, L., Salama, T., Choi, J., Chae, M., Voghell, L., Salama, T., Choi, J., 2024. Data-Driven Asset Management for Highway Sign Support Systems: A Case Study of Prioritizing Repair and Replacement Decisions. Sustainability 17. https://doi.org/10.3390/su17010092 Chen, X.M., Zhang, S., Zahiri, M., 2016. Cellular signaling data driven simulation-based dynamic traffic assignment and its applications to a real-world road network, in: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). Presented at the 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 2083–2088.
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