23 citations · 43 across the 8 of their papers we have counts for
8 papers
Data-Driven Smart Maintenance of Historic Buildings
Zhongjun Ni
Digital transformation in the built environment offers new opportunities to improve building maintenance through data-driven approaches. Smart monitoring, predictive modeling, and…
Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability
Chi Zhang, Janis Sprenger, Zhongjun Ni +1
Predicting pedestrian crossing behavior is important for intelligent traffic systems to avoid pedestrian-vehicle collisions. Most existing pedestrian crossing behavior models are t…
Parametric Digital Twins for Preserving Historic Buildings: A Case Study at Löfstad Castle in Östergötland, Sweden
Zhongjun Ni, Jelrik Hupkes, Petra Eriksson +3
This study showcases the digitalization of Löfstad Castle in Sweden to contribute to preserving its heritage values. The castle and its collections are deteriorating due to an inap…
Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings
Chi Zhang, Janis Sprenger, Zhongjun Ni +1
Understanding and predicting pedestrian crossing behavior is essential for enhancing automated driving and improving driving safety. Predicting gap selection behavior and the use o…
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling
Zhongjun Ni, Chi Zhang, Magnus Karlsson +1
Digital transformation in the built environment generates vast data for developing data-driven models to optimize building operations. This study presents an integrated solution ut…
A Digitalization Framework for Smart Maintenance of Historic Buildings
Zhongjun Ni
Smart maintenance of historic buildings involves integration of digital technologies and data analysis methods to help maintain functionalities of these buildings and preserve thei…
Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings
Zhongjun Ni, Chi Zhang, Magnus Karlsson +1
Digital transformation in buildings accumulates massive operational data, which calls for smart solutions to utilize these data to improve energy performance. This study has propos…
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings
Chi Zhang, Amir Hossein Kalantari, Yue Yang +4
Predicting pedestrian behavior when interacting with vehicles is one of the most critical challenges in the field of automated driving. Pedestrian crossing behavior is influenced b…