Date of Award


Document Type

Open Access Master's Thesis

Degree Name

Master of Science in Mechanical Engineering (MS)

Administrative Home Department

Department of Mechanical Engineering-Engineering Mechanics

Advisor 1

Jeffrey Naber

Committee Member 1

Darrell Robinette

Committee Member 2

Jeremy Worm


A recent study at Michigan Technological University as part of the NEXTCAR DOE APRA-E Project was conducted to determine the potential energy savings of a plug-in hybrid electric vehicle (PHEV) equipped with various Connected and Automated Vehicle (CAV) Technologies. One aspect of this study focused on the development of an Eco Approach and Departure (Eco AnD) Application that would further reduce the energy consumed around a signalized intersection.

Many modern intersections are equipped with traffic signals that can broadcast Basic Safety (BSM), MAP, and Signal Phase and Timing (SPaT) message sets that contain intersection ID, location, current phase, and cyclic timing information. This data can then be used as inputs to an optimization algorithm that will predict the most energy efficient maneuver for a vehicle as it approaches and departs from an intersection.

This Eco AnD Application has been developed to allow a test vehicle to interface with the traffic signals, run the optimization routine, and then relay the information back to the driver in the form of a velocity profile. Benefits of an Eco Approach and Departure Application have been evaluated on six different intersections on the Michigan Technological University Drive Cycle (MTUDC). A driver, given information about the cyclic timing and offsets of each intersection, drove through each intersection numerous times collecting data that would be used to show energy consumption of the vehicle.

The energy consumption using the human driver was then compared to the maneuvers generated by the Eco AnD Application. Energy reduction benefits could then be determined on an intersection-by-intersection basis, for a subset of the MTUDC, and for the entire MTUDC. Thus far, the Eco AnD Application has been used to experimentally demonstrate 2-4% energy savings on the MTUDC.