Jiahao Ling

Title: Innovations in Traffic Flow Forecasting by Jiahao Ling

Introduction

Jiahao Ling is a prominent inventor based in Changsha, China. He has made significant contributions to the field of traffic flow forecasting through his innovative methods and technologies. His work focuses on enhancing the accuracy and efficiency of traffic predictions, which is crucial for urban planning and traffic management.

Latest Patents

Jiahao Ling holds a patent for a "Traffic flow forecasting method based on multi-mode dynamic residual graph convolution network." This patent describes a sophisticated approach that includes constructing a relationship matrix and an adaptive matrix to learn the site dependence relationship for historical traffic data of traffic stations. The method utilizes multi-mode dynamic graph convolution to extract traffic characteristics corresponding to different traffic modes. By embedding the graph convolution into a gated cyclic neural network, it effectively combines space dependence and time dependence of traffic flow. The application of this method captures traffic flow characteristics corresponding to different traffic modes and dynamically fuses these characteristics for improved forecasting accuracy. He has 1 patent to his name.

Career Highlights

Jiahao Ling is affiliated with East China Jiaotong University, where he contributes to research and development in traffic management systems. His academic background and research focus have positioned him as a key figure in the field of transportation engineering.

Collaborations

Jiahao has collaborated with notable colleagues, including Xiaohui Huang and Yuming Ye. Their combined expertise enhances the research output and innovation in traffic flow forecasting.

Conclusion

Jiahao Ling's innovative approach to traffic flow forecasting represents a significant advancement in the field. His contributions are vital for improving urban traffic management and enhancing the overall efficiency of transportation systems.