دورية أكاديمية
A New Macroscopic Traffic Flow Characterization Incorporating Traffic Emissions
العنوان: | A New Macroscopic Traffic Flow Characterization Incorporating Traffic Emissions |
---|---|
المؤلفون: | Tanveer Qaiser, Ahmed B. Altamimi, Fayaz A. Khan, Mohammad Alsaffar, Abdulrahman Alreshidi, Khurram S. Khattak, Zawar H. Khan, Wilayat Khan |
المصدر: | Applied Sciences, Vol 13, Iss 9, p 5545 (2023) |
بيانات النشر: | MDPI AG |
سنة النشر: | 2023 |
المجموعة: | Directory of Open Access Journals: DOAJ Articles |
مصطلحات موضوعية: | macroscopic flow, onboard diagnostic unit, CO 2, ROE technique, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
الوصف: | Densely populated cities have led to increased traffic congestion and, consequently, increased greenhouse gas emissions from vehicles. Thus, it is important to develop traffic models to overcome congestion and increased air pollution. In the literature, traffic model characterizations rely predominantly on traffic dynamics and ignore traffic emissions. In this study, a new macroscopic model targeting traffic emissions and drivers’ presumption based on traffic emissions is proposed to overcome traffic congestion and pollution. The traffic emissions characterization was based on the CO 2 data employed in the second traffic system. For the performance analysis, the results of the proposed and Zhang’s traffic models were compared. The results were obtained using the ROE technique to predict traffic evolution. The scheme was implemented in MATLAB. Compared with Zhang’s traffic model, the suggested traffic model based on emissions reflected traffic behavior more realistically. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 2076-3417 |
العلاقة: | https://www.mdpi.com/2076-3417/13/9/5545Test; https://doaj.org/toc/2076-3417Test; https://doaj.org/article/10db218b242b45b699f25c5f8245c583Test |
DOI: | 10.3390/app13095545 |
الإتاحة: | https://doi.org/10.3390/app13095545Test https://doaj.org/article/10db218b242b45b699f25c5f8245c583Test |
رقم الانضمام: | edsbas.CA54A7F7 |
قاعدة البيانات: | BASE |
تدمد: | 20763417 |
---|---|
DOI: | 10.3390/app13095545 |