Illustration of sequential service region design and timing problem

Algorithm to dynamically update mobility service regions

Srushti Rath’s last dissertation chapter on incorporating deep learning into a real options-based stochastic optimization policy for service region design: it provides a tool for decision-makers to account for uncertainty in expanding their mobility services incrementally over time. Also applicable to broader network design problems. This work was completed under Dr. Chow’s NSF CAREER project. 

Paper: https://www.sciencedirect.com/science/article/pii/S0305054823003222