Road-Section-Based Analysis of Vehicle Emissions and Energy Consumption

Sunhee Jang, Ki Han Song, Daejin Kim, Joonho Ko, Seongkwan Mark Lee, Sabeur Elkosantini, Wonho Suh

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

To monitor air pollution on roads in urban areas, it is necessary to accurately estimate emissions from vehicles. For this purpose, vehicle emission estimation models have been developed. Vehicle emission estimation models are categorized into macroscopic models and microscopic models. While the calculation is simple, macroscopic models utilize the average speed of vehicles without accounting for the acceleration and deceleration of individual vehicles. Therefore, limitations exist in estimating accurate emissions when there are frequent changes in driving behavior. Microscopic emission estimation models overcome these limitations by utilizing the trajectory data of each vehicle. In this method, the total emissions in a road segment are calculated by adding together the emissions from individual vehicles. However, most research studies consider the total vehicle emissions in a road section without considering the difference in vehicle emissions at different locations of a selected road section. In this study, a road segment between two intersections was divided into sub-sections, and energy consumption and emission generation were analyzed. Since there are unique driving behaviors depending on the section of the road segment, energy consumption and emission generation patterns were identified. The findings of this study are expected to provide more detailed and quantitative data for better modeling of energy consumption and emissions in urban areas.

Original languageEnglish
Article number4421
JournalSustainability
Volume15
Issue number5
DOIs
StatePublished - Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • MOVES
  • emission
  • energy
  • microscopic analysis
  • signalized intersection
  • sub-section

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