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A modal approach to vehicular emissions and fuel consumption model development
Wing-Tat Hung1, Hing-Yan Tong, Chun-Shun Cheung
1Department of Civil and Structural Engineering, Hong Kong Polytechnic University, Hong Kong, SAR. cewthung@polyu.edu.hk
This study analyzed motor vehicle emissions and fuel consumption using a modal approach in Hong Kong. On-road data enabled a model linking fuel use and emissions to speed and driving mode.
Area of Science:
- Environmental Science
- Transportation Engineering
- Automotive Engineering
Background:
- Motor vehicle emissions and fuel consumption significantly impact urban air quality and energy resources.
- Accurate modeling of these factors is crucial for developing effective environmental and transportation policies.
- Existing models often lack the granularity to capture real-world driving variations.
Purpose of the Study:
- To develop and validate a modal approach for analyzing motor vehicle emissions and fuel consumption.
- To establish a model estimating emissions and fuel use based on instantaneous speed and driving mode.
- To assess the feasibility of using on-road measurements for modal emission and fuel consumption modeling.
Main Methods:
- Collected on-road data from instrumented test vehicles in urban Hong Kong.
- Defined four standard driving modes: idling, accelerating, cruising, and decelerating.
- Developed a model using piecewise interpolation for non-idling modes and negative exponential functions for idling.
Main Results:
- The developed model demonstrated good agreement with test vehicle data.
- Piecewise interpolation functions effectively represented non-idling driving modes.
- Negative exponential functions accurately estimated idling emission and fuel consumption rates.
Conclusions:
- On-road measurements are a feasible method for developing accurate modal emission and fuel consumption models.
- The modal approach provides a more detailed understanding of vehicle performance and environmental impact.
- The findings support the refinement of emission inventories and fuel efficiency standards.
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