Assessment of Alternative Polynomial Fuel Consumption Models for Use in Intelligent Transportation Systems Applications KU Leuven
The objective of this article is to identify appropriate low-degree polynomial fuel consumption models for use in intelligent transportation systems (ITSs), eco-drive assist systems, and microscopic traffic simulation software. The different models that are assessed include models found in the literature and new models developed using a subsearch regression based on the Akaike information criterion. The models are evaluated based on model ...