23 citations · 43 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…