2019年研究生学术前沿讲座(12)--Probability Density Estimation of Travel Demand: Integrating Sensor Data with Soft Information

2019年研究生学术前沿讲座(12

 

人:FAN YUEYUE  教授  UC Davis

主题名称:Probability Density Estimation of Travel Demand: Integrating Sensor Data with Soft Information

内容简介

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.

 

时间地点:2019-4-19周五   13:30  交运楼115

主办学院:交通运输学院

  

研究生院

2019.4.15

 

分类: 
  • 分类:
    学术交流