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Fuel consumption model for heavy duty diesel trucks: Model development and testing.

Authors :
Wang, Jinghui
Rakha, Hesham A.
Source :
Transportation Research Part D: Transport & Environment. Aug2017, Vol. 55, p127-141. 15p.
Publication Year :
2017

Abstract

A simple, efficient, and realistic fuel consumption model is essential to support the development of effective eco-freight strategies, including eco-routing and eco-driving systems. The majority of the existing heavy duty truck (HDT) fuel consumption models, however, would recommend that drivers accelerate at full throttle or brake at full braking to minimize their fuel consumption levels, which is obviously not realistic. To overcome this shortcoming, the paper applies the Virginia Tech Comprehensive Power-based Fuel consumption Model (VT-CPFM) framework to develop a new model that is calibrated and validated using field data collected using a mobile emissions research laboratory (MERL). The results demonstrate that the model accurately predicts fuel consumption levels consistent with field observations and outperforms the comprehensive modal emissions model (CMEM) and the motor vehicle emissions simulator (MOVES) model. Using the model it is demonstrated that the optimum fuel economy cruise speed ranges between 32 and 52 km/h with steeper roads and heavier trucks resulting in lower optimum cruise speeds. The results also demonstrate that the model generates accurate CO 2 emission estimates that are consistent with field measurements. Finally, the model can be easily calibrated using data collected using non-engine instrumentation (e.g. Global Positioning System) and readily implemented in traffic simulation software, smartphone applications and eco-freight programs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13619209
Volume :
55
Database :
Academic Search Index
Journal :
Transportation Research Part D: Transport & Environment
Publication Type :
Academic Journal
Accession number :
124610845
Full Text :
https://doi.org/10.1016/j.trd.2017.06.011