Real-World Evaluation of Dynamic Eco-Driving Connected Vehicle Technology on an Arterial Roadway with Semi-Actuated Signals

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  • There are numerous strategies that are being explored to reduce fuel consumption and the amount of greenhouse gas emissions produced by the transportation sector. One of these strategies revolves around optimizing driving behaviour, especially in the vicinity of signalized intersections. Real-world testing of EcoDrive, a connected vehicle application, was conducted over a period of months on an arterial roadway with semi-actuated and connected traffic signals. Green light optimal speed advisories and other velocity planning messages were communicated by means of two -way wireless network connectivity to drivers based on the current vehicle position and real-time signal phase information. Vehicle positioning, at a single second resolution, was used to estimate emissions by way of a state of the art emission modeling software. A reduction in carbon dioxide equivalent emissions of 9.62% and a 9.64% fuel savings were observed while travel time was not significantly altered.

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  • Copyright © 2018 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

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  • 2018

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