دورية أكاديمية

A New Macroscopic Traffic Flow Characterization Incorporating Traffic Emissions

التفاصيل البيبلوغرافية
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
الوصف
تدمد:20763417
DOI:10.3390/app13095545