First Advisor

Miguel Andres Figliozzi

Date of Award

Summer 2018

Document Type

Project

Degree Name

Master of Science (M.S.) in Civil & Environmental Engineering

Department

Civil and Environmental Engineering

Language

English

Subjects

Automobiles -- Fuel consumption -- Statistical methods, Route choice

DOI

10.15760/CCEMP.42

Abstract

This paper presents statistical techniques for estimating vehicle fuel consumption in urban road networks based on vehicle and geographical factors. A routing algorithm utilizing mapping data from OpenStreetMap and elevation data from the Shuttle Radar Topography Mission is presented and used to generate paths that minimize vehicle fuel consumption. The concept of a fuel consumption estimating function is proposed as an extension of the well-known distance-estimating functions that are widely used in logistics planning and research.

Statistical models are developed that estimate fuel consumption in three tested urban areas with vehicle weight, elevation and regional travel speed characteristics being the independent variables. The models were tested on measures drawn from the underlying graph data used by the pathfinding engine as well as those derived from measurements on a digital elevation model using common geographical information system tools. The results provide promising techniques for the estimation of vehicle fuel consumption using only geographical data for long-range planning purposes.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Comments

A research project submitted in partial fulfillment of the requirement for the degree of Master of Science in Civil and Environmental Engineering.

Persistent Identifier

https://archives.pdx.edu/ds/psu/26183

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