  We study the problem of eco-routing Plug-In Hybrid Electric Vehicles (PHEVs)
to minimize the overall energy consumption costs. Unlike the traditional Charge
Depleting First (CDF) approaches in the literature where the power-train
control strategy is fixed, we propose a Combined Routing and Power-train
Control (CRPTC) algorithm which can simultaneously calculate the optimal energy
route as well as the optimal power-train control strategy. To validate our
method, we apply our eco-routing algorithm to a subnetwork of the Eastern
Massachusetts (EMA) transportation network using actual traffic data provided
by the Boston Region Metropolitan Planning Organization. As an alternative
benchmark, we also simulate the traffic behavior of the network using the
extracted flow data from the aforementioned traffic dataset. We show that the
CRPTC approach outperforms the traditional CDF approach and we quantify the
trade-off between saving energy and time in using eco-routing algorithms.
