Advanced analytics: optimum charging times for electric buses

As of 2030, the Rotterdam region will only have electric or hydrogen buses. How do you make sure that electric buses are never without battery capacity? That a faulty charging station is not an issue? This requires an optimum distribution of charging stations and charging times, but that is proving to be a highly complex issue. Public transport company RET looked for a solution in advanced analytics. RET selected IBM ILOG CPLEX Optimization Studio with support from Axians.