Two eco-routing algorithms developed and tested on networks in Cleveland and Columbus, Ohio.
Columbus, Ohio, United States
Cleveland, Ohio, United States
Developing an Eco-Routing Application
Summary Information
This study develops eco-routing algorithms and investigates and quantifies the system-wide impacts of their implementation. Two eco-routing algorithms are developed: one based on vehicle sub-populations (ECO-SFA) and one based on individual drivers (ECO-IFA).
Methodology
To quantify the system-wide impacts of eco-routing strategies, the study utilized INTEGRATION software, which is a microscopic traffic assignment and simulation software. Both eco-routing algorithms initially assigned vehicles based on fuel consumption levels for travel at the facility free-flow speed. Subsequent fuel consumption estimates are then refined based on experienced of other vehicles within the same class. This stochastic, multi-class, dynamic traffic assignment framework was demonstrated to work for various scenarios. This study also quantifies the system-wide impacts of implementing a dynamic eco-routing system, considering various levels of market penetration and levels of congestion in downtown Cleveland and Columbus, Ohio.
Findings
Eco-routing systems can reduce network-wide fuel consumption and emission levels in most cases. The fuel savings over the networks ranged between 3.3 percent and 9.3 percent when compared to typical travel time minimization routing strategies.
