报告题目：Al-based control of terrain vehicles using real-time physics simulation

报告人：Dr.Martin Servin

报告时间：2022年6月15日下午14:00-15:30

报告地点：Zoom（ID:627 6973 9422）

报告内容摘要：

报告题目：软件缺陷发现的一些技术和思考

报告人：玄跻峰 教授（武汉大学）

报告时间：2022年6月16日（周四）下午14:00-16:00

报告地点：腾讯会议（在线）号：649-705-138

报告内容摘要：

报告题目：Early Reservation for Follow-up Appointments in a Slotted-Service Queue

报告所属学科：管理科学与工程

报告人：丁弋川（美国斯坦佛大学）

报告时间：2022年6月16日（周四）晚7:30-8:10 

报告地点：腾讯会议：184-401-756

报告摘要：

We study an appointment-based slotted-service queue with the goal of maximizing service volume. Returning customers prefer to be served by the same service agent as in their previous visit. We consider a simple strategy that a service provider may use to reduce balking among returning customers -- designate some returning customers as high-priority customers. These customers are placed at the head of the queue when they call for a follow-up appointment. In an appointment-based system, this policy can be implemented by booking a high-priority returning customer's appointment right before he or she leaves the service facility. We study an appointment-based slotted-service queue with the goal of maximizing service volume and analyze three systems: an open-access system, a traditional appointment system, and a carve-out system.

报告人简介：

丁弋川，美国斯坦佛大学管理科学与工程专业博士。现任加拿大麦吉尔大学副教授，曾就职于美国纽约IBM研究中心。主要研究方向为优化问题、排队论和计量经济学；研究应用领域包括医疗保健和其他公共部门。在《Operations Research》、《Mathematics of Operations Research》、《Manufacturing & Service Operations Management》等刊物上发表多篇高水平论文，并担任《Operations Research》、《Management Science》、《Mathematics of Operations Research》等期刊审稿人。

报告题目：A Structural Estimation of Airport Ground Transport Mode Choice Using Aggregate Data

报告所属学科：管理科学与工程

报告人：夏闻一（加拿大不列颠哥伦比亚大学）

报告时间：2022年6月16日（周四）晚8:10-8:50

报告地点：腾讯会议：184-401-756

报告摘要：

This study aims to identify factors affecting passenger choice of airport ground transportation modes using aggregate data. We develop a structural estimation method adaptable to this data. Our method estimates the ridership of each train and bus based on a structural discrete choice model. This approach essentially converts unobserved individuals choice probability to the observable ridership. The model coefficients are computed by the nonlinear least-squares estimation which minimizes the distance between estimated and observed ridership. The estimation results suggest that passengers who fly Korean airlines or have experienced longer waiting times are less likely to take public transportation, and passengers who fly low-cost airlines are more likely to take public transport. This approach allows counterfactual analysis to estimate how ridership of airport ground transport services would be if the schedules were adjusted.

报告人简介：

夏闻一，加拿大不列颠哥伦比亚大学运输与物流专业博士。现任加拿大蒙特利尔高等商学院物流和运营管理部助理教授。主要研究方向为运输与物流、运营管理、实证研究、数据分析、数据驱动优化、出行行为估计和交通经济与政策等。作为第一作者在交通运输领域国际顶级期刊《Transportation Research Part B: Methodological》上发表多篇高水平论文，并担任《Transportation Research Part B: Methodological》、《Transportation Research Part A: Policy and Practice》等期刊审稿人。