We introduce an innovative approach for analyzing strategic interactions in transportation
networks featuring Mobility-on-Demand (MoD) services. This study focuses on achieving …

This paper compares two prevalent charging strategies for electric vehicles, plug-in charging
and battery swapping, to investigate which charging strategy is superior for electric …

This paper proposes a data-driven control framework to regulate an unknown stochastic
linear dynamical system to the solution of a stochastic convex optimization problem. Despite …

This paper presents a system identification framework-inspired by multi-task learning-to
estimate the dynamics of a given number of linear time-invariant (LTI) systems jointly by …

Increasing urbanization and exacerbation of sustainability goals threaten the operational
efficiency of current transportation systems and confront cities with complex choices with …

Governments, regulatory bodies, and manufacturers are proposing plans to accelerate the
adoption of electric vehicles (EVs), with the goal of reducing the impact of greenhouse gases …

In this work, we consider a time-varying stochastic saddle point problem in which the objec-
tive is revealed sequentially, and the data distribution depends on the decision variables …

Vehicle dispatching in the mobility-as-a-service (MaaS) market has gradually become a
situation of multi-service provider competition and coexistence. However, most existing …

Autonomous vehicles will be an integral part of ride-sharing services in the future. This
setting differs from traditional ride-sharing marketplaces because of the absence of the …

The aggregation of ride-sharing platforms has forced traditional ride-sharing platforms to
decide whether to join or leave these emerging platforms. This study presents a stylized …