DESIGNING THE FUTURE OF URBAN TRANSPORTATION
AUTOlab is a transportation research center within the Department of Industrial Engineering at Tel Aviv University. The lab conducts application-oriented research aimed at creating decision-support tools for transportation system planning. Our researchers develop and employ data analytics and operations research techniques to solve the complex optimization problems necessitated by emerging technologies and business models, such as innovative public transit, last-mile transportation, vehicle sharing systems and on-demand transportation based on autonomous vehicles.
Research at AUTOlab stands on four pillars:
studying and understanding existing or planned real world transportation systems and services
analyzing real world big-data obtained from transportation systems and services
developing data-driven mathematical models and simulation models of such systems
developing optimization techniques tailored for the studied services/planning problems
Dynamic prediction-based relocation policies in one-way station-based car-sharing systems with complete journey reservations
In this 2019 paper published in Transportation Research Part B: Methodological, we study the operations of a one-way station-based carsharing system implementing a complete journey reservation policy. We consider the percentage of served demand as a primary performance measure and analyze the effect of several dynamic staff-based relocation policies.