  With advances in sensing, computing, and communication technologies,
Connected and Automated Vehicles (CAVs) are becoming feasible. The advent of
CAVs presents new opportunities to improve the energy efficiency of individual
vehicles. However, testing and verifying energy-efficient autonomous driving
systems are difficult due to safety considerations and repeatability. In this
paper, we present a co-simulation platform to develop and test novel vehicle
eco-autonomous driving technologies named InfoRich, which incorporates the
information from on-board sensors, V2X communications, and map database. The
co-simulation platform includes eco-autonomous driving software, vehicle
dynamics and powertrain (VD&PT) model, and a traffic environment simulator.
Also, we utilize synthetic drive cycles derived from real-world driving data to
test the strategies under realistic driving scenarios. To build road networks
from the real-world driving data, we develop an Automated Parser and Calculator
for Map/Scenario named AutoPASCAL. Overall, the simulation platform provides a
realistic vehicle model, powertrain model, sensor model, traffic model, and
road-network model to enable the evaluation of the energy efficiency of
eco-autonomous driving.
