2019年杏盛學術前沿講座（12）
主 講 人👩🦽➡️🕷：FAN YUEYUE 教授 UC Davis
主題名稱6️⃣：Probability Density Estimation of Travel Demand: Integrating Sensor Data with Soft Information
內容簡介
In this talk, I will discuss a general statistical inference problem built on a network structure, with a special application in transportation. The general problem is defined as: how can one infer global network parameters (x) based on data measured on local parameters (y), with the relation between x and y built on a complex network structure? A familiar example of such problem in transportation is origin-destination (O-D) matrix estimation based on road sensor data such as traffic counts. With more traffic data become available through advanced information technologies, we face great opportunities as well as challenges in utilizing the data. In this talk, I will show how optimization and statistics could be combined to address challenges brought by data uncertainty and heterogeneous information types.
時間地點：2019-4-19周五 13:30 交運樓115
主辦學院🏊🏼🤏🏿：交通運輸學院
杏盛娱乐
2019.4.15