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

Sunhee Jang, Ki-Han Song, Daejin Kim, Joonho Ko, Seongkwan Mark Lee, Sabeur Elkosantini and Wonho Suh ()
Additional contact information
Sunhee Jang: Department of Smart City Engineering, Hanyang University ERICA Campus, Ansan 15588, Republic of Korea
Ki-Han Song: Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
Daejin Kim: Asia Pacific School of Logistics, Graduate School of Logistics, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Republic of Korea
Joonho Ko: Graduate School of Urban Studies, Hanyang University, Seoul 04763, Republic of Korea
Seongkwan Mark Lee: College of Engineering, United Arab Emirates University, Al Ain, Abu Dhabi 15551, United Arab Emirates
Sabeur Elkosantini: SMART Lab, Faculty of Economics and Management, University of Carthage, Carthage 1054, Tunisia
Wonho Suh: Department of Smart City Engineering, Hanyang University ERICA Campus, Ansan 15588, Republic of Korea

Sustainability, 2023, vol. 15, issue 5, 1-14

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.

Keywords: MOVES; emission; energy; signalized intersection; sub-section; microscopic analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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