This project focuses on potential household level operations of AVs. First, this project will extend a decision making scheme of household activities to the operational dynamics of AVs. The main objective is to determine which activity by which family members should be performed considering the operational capabilities of AVs. A secondary objective is identify the number of AVs for a household to meet the activity participation and travel needs of a household, and resulting number of trips and vehicle-miles-traveled (VMT) at both household and global levels.
Formulating potential usage of AVs is difficult due to the lack of data at this early stage of AV development. Therefore, this study needs to be approached from a more fundamental perspective. Based on the well-accepted notion that travel is a derived demand from individual traveler's needs for activity participation and decisions of time allocation, we formulate a Household Activity Pattern Problem for Autonomous Vehicles (HAPPAV). The proposed model is an innovative extension of Vehicle Routing Problems (VRP) in which there are routing considerations of vehicles as well as travelers.
We plan to involve two undergraduate students to assist a Ph.D. student in designing illustrative examples and case studies. While the proposed work develops state-of-art modeling innovations, we intend to create an opportunity for two top undergraduate students to experience a year-long in-depth research experience. Our goal is to groom the undergraduate students in ISE department for future researchers.
Student Skill-Set Needed: coding skills, mathematical programming, analyticial and critical thinking
Compensation: Academic Credit, Volunteer
Available: Spring, Summer
For further information on this opportunity, or to apply, contact:
Faculty Member: Jee Eun Kang
Title: Assistant Professor
Department: Industrial And Systems Engineering