Estimating Micro-Level on-Road Vehicle Emissions Using the K-Means Clustering Method with GPS Big Data
| Autor: | Jae Hun Kim, Hyejung Hu, Hyunju Shin, Gunwoo Lee |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer Networks and Communications
Computer science 020209 energy Real-time computing lcsh:TK7800-8360 02 engineering and technology 010501 environmental sciences 01 natural sciences driving cycle 0202 electrical engineering electronic engineering information engineering vehicle GPS data link emission factors Electrical and Electronic Engineering Cluster analysis Spatial analysis micro-level vehicle emission estimation 0105 earth and related environmental sciences business.industry lcsh:Electronics k-means clustering Mode (statistics) MOVES Hardware and Architecture Control and Systems Engineering Signal Processing Trajectory Global Positioning System business Driving cycle |
| Zdroj: | Electronics Volume 9 Issue 12 Electronics, Vol 9, Iss 2151, p 2151 (2020) |
| ISSN: | 2079-9292 |
| DOI: | 10.3390/electronics9122151 |
| Popis: | Due to the advanced spatial data collection technologies, the locations of vehicles on roads are now being collected nationwide, so there is a demand for applying a micro-level emission calculation methods to estimate regional and national emissions. However, it is difficult to apply this method due to the low data collection rate and the complicated calculation procedure. To solve these problems, this study proposes a vehicle trajectory extraction method for estimating micro-level vehicle emissions using massive GPS data. We extracted vehicle trajectories from the GPS data to estimate the emission factors for each link at a specific time period. Vehicle trajectory data was divided into several groups through a k-means clustering method, in which the ratios of each operating mode were used as variables for clustering similar vehicle trajectories. The results showed that the proposed method has an acceptable accuracy in estimating emissions. Furthermore, it was also confirmed that the estimated emission factors appropriately reflected the driving characteristics of links. If the proposed method were utilized to update the link-based micro-level emission factors using continuously accumulated trajectory data for the road network, it would be possible to efficiently calculate the regional- or national-level emissions only using traffic volume. |
| Databáze: | OpenAIRE |
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