Coordinated vehicle dispatching and charging scheduling for electric ride hailing fleet under charging congestion

This study develops a sequential optimization approach to coordinate vehicle dispatching and charging operations for e-taxi fleet management under stochastic demand, variable energy prices, and congested charging facilities. We conduct a simulation case study using NYC taxi data. The computational results show the developed methodology outperforms several benchmark approaches with higher profit and customer service rates under different scenarios (demand intensities, battery capacity, fleet size/charging facilities). This methodology can be applied to support transport network companies for more efficient management of customer services and charging operations.