Evaluation Affecting of Traffic Characteristics on CO Emission: Ramadi Network as a Case Study | ||
| Iraqi Journal of Civil Engineering | ||
| Article 7, Volume 16, Issue 2, December 2022, Pages 70-75 PDF (353.46 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.37650/ijce.2022.160207 | ||
| Authors | ||
| Asama Ismail Zadine1; Hamid Awad* 2; Adil Nahir Abd3 | ||
| 1Civil Engineering Department, Engineering College, University Of Anbar | ||
| 2Civil Engineering, Engineering College, University Of Anbar | ||
| 3Civil Engineering Department, Engineering College, University Of Anabr | ||
| Abstract | ||
| The reduction of gases emissions as one of its most significant long-term strategies in any country in the world. Many Iraqi cities suffered from the uncontrolled increasing in the number of vehicles which has a positive relationship with the emission of gases especially the carbon monoxide. This study aims to evaluate the effect of traffic characteristics such as logarithm of average flow, the percentage of heavy vehicles, and free flow speed on the emission of carbon monoxide. The study selected the main roads in Al- Ramadi network, the data was collected for traffic characteristics and carbon monoxide between 2018 to 2020. A random parameters approach was used to develop a model to estimate the carbon monoxide emission for 345 roadway segments, this approach was used due to the ability of this method to account the heterogeneity that raised from the traffic characteristics which led to predict more accurate results than other approaches. The results of the random parameters model show that the carbon monoxide emission increased due to increase of logarithm of average flow, the percentage of heavy vehicles, and free flow speed. The model results show that the parameters of logarithm of average flow, the percentage of heavy vehicles, and free flow speed was varied a cross the roadway segments. | ||
| Keywords | ||
| CO emission; random parameters model; traffic characteristics | ||
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