01515403

Component

There has recently been an increased interest in exploring potential environmental applications for vehicle telematics and Intelligent Transportation Systems (ITS). Green routing or eco-navigation is one such application, which attempts to direct travelers to the most fuel efficient (or least emissions) route rather than the fastest or shortest route. Implementing such a concept in practice, however, requires computationally-efficient models that can accurately and quickly estimate the likely environmental cost associated with a given trip. In this paper, a simplified, macro-model for estimating fuel consumption, Carbon Monoxide (CO) and Nitrogen Oxides (NOx) emissions is developed. The model is based on only four, readily available trip attributes, which makes it ideal for implementation on smart phones or GPS navigation devices. The model is first developed based on emissions and fuel consumption data, calculated using an integrated TRANSIMS-MOVES model, for a total of 34,273 trips in the Burlington metropolitan area in Vermont, and is shown to yield outstanding precision. To further validate the model, it is then used to predict emissions and fuel consumption values for trips in the Buffalo-Niagara metropolitan, and the estimates are compared to values calculated using the a second TRANSIMS-MOVES model developed for Buffalo. The results indicate that the fuel consumption estimates were very close to the detailed MOVES results, whereas the CO and NOx estimates were not as good. Nevertheless, by applying appropriate adjustment factors, to account for environmental differences between Burlington and Buffalo, the CO and NOx emissions estimates can still be made more precise. Key Words: Eco-navigation, Emissions Modeling, MOVES, fuel consumption, traffic simulation.

This paper was sponsored by TRB committee ADC20 Transportation and Air Quality. Alternate title: Development and Validation of Simplified Macromodel for Trip-Based Fuel Consumption and Emissions Estimation: Efficient Eco-Trip Evaluator

01503729

14-4793

English

12p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Carbon monoxide; Emissions testing; Environmental impacts; Forecasting; Fuel consumption; Intelligent transportation systems; Nitrogen oxides; Pollutants; Travel

Motor Vehicle Emission Simulator (MOVES); TRANSIMS (Computer model)

Buffalo (New York); Niagara Falls (New York)

Environment; Highways; I15: Environment

Transportation Research Board Annual Meeting 2014 Paper #14-4793

TRIS, TRB, ATRI

Jan 27 2014 3:40PM