The present research concerns the contextualisation and presentation of eleven small statues from the Tang era dated from the XI and XII centuries CE today housed at the Asian Art Museum in Turin (MAO). A multidisciplinary group with expertise in Asian art, digital representation, and information processing systems, with the support of VR@POLITO and MOD Lab Arch of the Politecnico di Torino is involved in the work. The goal is to present together several Tang-era pottery models not belonging to the same funerary outfit within the spaces of a coeval, philologically compatible hypogeal tomb. With a pronounced storytelling intent, the reconstructive 3D model represents a virtual exhibition project summarizing Tang art’s architectural, pictorial, and sculptural features. The pipeline was developed through photogrammetric acquisition with Structure from Motion (SfM) technology and 3D modeling of the artworks, reconstructive modeling and texturing of a Tang tomb as the ideal space of the statues, and communication through a virtual reality (VR) experience augmented with a set of information.

Microscopic traffic simulation represents one of the most popular tools for analysing and comparing traffic performance in different scenarios of urban mobility. The reproduction of real-world traffic dynamics is its primary requirement for providing time-dependent estimates. This study presents a process to build a microscopic traffic model for an urban area of Athens, developed using high-resolution vehicle trajectories obtained from the pNEUMA dataset. Based on drone-recorded trajectories, a simulation scenario was built, combining a realistic road network model, including traffic light regulation, an estimated traffic demand, and a set of parameters to replicate the observed vehicle behaviour. The modelling process relies on an iterative comparison between simulated outputs and observed vehicle-level trajectory data. The proposed approach evaluates travel time distributions and helps develop an improved model, enhancing its ability to replicate the vehicle’s behaviour. The final calibrated configuration reduced the Wasserstein distance by approximately 55.8% compared with the default SUMO configuration. The results also show that the calibration of microscopic behavioural parameters can substantially affect secondary simulation outputs, including emission estimates relevant for sustainability-oriented traffic analyses.