  We study the problem of eco-routing for Plug-In Hybrid Electric Vehicles
(PHEVs) to minimize the overall energy consumption cost. We propose an
algorithm which can simultaneously calculate an energy-optimal route
(eco-route) for a PHEV and an optimal power-train control strategy over this
route. In order to show the effectiveness of our method in practice, we use a
HERE Maps API to apply our algorithms based on traffic data in the city of
Boston with more than 110,000 links. Moreover, we validate the performance of
our eco-routing algorithm using speed profiles collected from a traffic
simulator (SUMO) as input to a high-fidelity energy model to calculate energy
consumption costs. Our results show significant energy savings (around 12%) for
PHEVs with a near real-time execution time for the algorithm.
