Significance Analysis of Vehicle Operation Modes for Pollutant Emission at a Signalized Intersection

DOI

10.2991/icseee-16.2016.94How to use a DOI?

Keywords

Vehicle emission estimation, Vehicles activity, Operation modes, VISSIM, MOVES, Multiple linear regression model, Signalized intersection, Significance evaluation

Abstract

In this paper, we developed vehicle emissions models as a function of the five operation modes of vehicles at a signalized intersection. Using VISSIM simulation software, second-by-second running activities data of the vehicles were generated for a signalized intersection. The outputs from VISSIM include were used to identify the operation modes of the vehicles and used as input into the EPA emissions model MOVES. The emissions CO was estimated on hourly level. Finally, based on the obtained operation mode data, CO pollutant emission regression model was established. The model also indicate the significance of the operation modes on the CO emission and provides a basis for understanding the contribution of the operation mode on pollutant emissions.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuanyuan Fan
AU  - Janice Daniel
PY  - 2016/12
DA  - 2016/12
TI  - Significance Analysis of Vehicle Operation Modes for Pollutant Emission at a Signalized Intersection
BT  - Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
PB  - Atlantis Press
SP  - 511
EP  - 515
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-16.2016.94
DO  - 10.2991/icseee-16.2016.94
ID  - Fan2016/12
ER  -