Company Filing History:
Years Active: 2025
Title: **Fengshan Su: Innovator in Road Network Analysis**
Introduction
Fengshan Su is a notable inventor based in Lanzhou, China, recognized for his contributions to the field of road network analysis. With a focus on computational methods and artificial intelligence, Su has developed innovative techniques that enhance our understanding of road networks.
Latest Patents
Fengshan Su holds a patent titled "Graph convolution auto-encoder based multi-scale method for computing road network similarity." This groundbreaking method involves the creation of a dual graph of a road network and incorporates road network space feature information into nodes from various perspectives, including global, local, and connection characteristics. The approach allows for a quantitative representation of road network structures, enabling a deeper understanding through the graph convolution auto-encoder. It transforms complex high-dimensional feature spaces into manageable low-dimensional feature vectors for computing road network similarity.
Career Highlights
Fengshan Su is associated with Lanzhou Jiaotong University, where he actively contributes to research and innovation in transportation systems. His academic and practical insights have positioned him as a valuable resource in the development of advanced methodologies for road network analysis.
Collaborations
In his professional journey, Fengshan Su collaborates with fellow researchers, notably Haowen Yan and Xiaomin Lu. Their joint efforts in exploring innovative solutions in the realm of road networks showcase the spirit of collaboration that drives advancements in this field.
Conclusion
Fengshan Su's innovative approach and patent in road network similarity computation reflect a significant step forward in transportation and network analysis. His work not only contributes to academic research but also holds potential practical applications that could benefit urban planning and traffic management.