پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 610 |
| تعداد مقالات | 9,029 |
| تعداد مشاهده مقاله | 67,082,981 |
| تعداد دریافت فایل اصل مقاله | 7,656,415 |
Transport network traffic management and urban travel demand to reduce air pollution (Case study: Shiraz) | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 28، دوره 14، شماره 11، بهمن 2023، صفحه 333-342 اصل مقاله (652.57 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.29603.4213 | ||
| نویسندگان | ||
| Mohammad Bagheri؛ Hossein Ghafourian* ؛ Morteza Kashefioasl؛ Mohammad Taghi Sadatipour؛ Mohammad Rabbani | ||
| Department of Environmental Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| تاریخ دریافت: 28 فروردین 1401، تاریخ بازنگری: 13 دی 1401، تاریخ پذیرش: 17 دی 1401 | ||
| چکیده | ||
| Today, air pollution and energy consumption are metropolitans’ main transportation issues. In these cities, most people consider their mode of transportation based on the appropriate means, including passenger, travel characteristics, population growth, urban space, and transportation. Therefore, the systematic optimization of travel demand in the actual road network in urban areas is necessary. Travel Demand Management (TDM) is one of the well-known methods to solve these problems in congested areas. TDM is a strategy to reduce the efficiency of the urban transportation system by granting special concessions to public transportation methods, implementing the ban on private cars in certain places or times, and increasing the cost of using some facilities such as parking in busy areas pricing network. Transportation demand management is one of the most effective methods to reduce traffic and control air pollution, especially in crowded areas of the city center. A few studies have optimized urban transportation in congested cities by combining Markov decision processes based on decision processes with reward and evolution-based algorithms and simultaneously considering customers and travel characteristics. Therefore, this study provided a new network traffic management for urban cities with multiple objective functions related to the expected reward value of the Markov decision system using a genetic algorithm. Shiraz is considered as a benchmark to evaluate the performance of the proposed approach. Then, the impact of toll levels was evaluated on changes in user and operator cost components. | ||
| کلیدواژه‌ها | ||
| Traffic management؛ Transportation network؛ Travel demand؛ Decrease air pollution | ||
| مراجع | ||
|
[1] Y. Cao, H. Wu, H. Wang, D. Liu and S. Yan, Potential effect of air pollution on the urban traffic, vitality: A case study of Nanjing, China, Atmosphere 13 (2022). [2] Y. Ghane, Providing a suitable analytical method to optimize the combination of density pricing and toll range in cities, Yazd University of Technical and Engineering Campus: Civil Engineering - Road and Transportation Master’s Thesis, 2016. [3] A. Hekmatnia, A. Karbasi, S.E. Hatef and S.I. Hatef, Investigating environmental management of urban waste transportation in Yazd using WAGS software, Envir. Sci. Technol. Quart. (2015) 251–266. [4] T. Hosseini, Ch. Makani, M. Ariana and S. Mojtabi Abrodi, Management of transport and urban traffic in Tehran from an economic perspective, J. Econ. Urban Manag. 15 (2015). [5] K. Huang, Ch. Jiang, P. Li, A. Shan and J. Wanand Wenhu Qin, A systematic framework for urban smart transportation towards traffic management and parking, Electronic Res. Arch. 30 (2022), no. 11, 4191–4208. [6] H. Mirza Hossein, Choosing the optimal strategy for intra-city network pricing, Faculty of Civil Engineering and Technology, Tehran, 2011. [7] S.E. Seyed Abrishmi, A. Mamdohi and V. Portalebi, Presenting the behavioral model of choosing the way of business trips under the influence of management policies, a case study; Even or odd area of Tehran city, Tarbiat Modares University, Tehran, 2014. [8] M. Soleimani, N. Akbari, B. Saffari and H. Haghshenas, University of Isfahan Determining urban tolls based on two pricing schemes by considering emission of pollution (Case study: Isfahan, Iran), DOI: https://doi.org/10.21203/rs.3.rs-1771235/v1. [9] M. Yadollahi, M. Puriari and M. Pourreza, Investigating the role and function of the emergency transportation management system in Tehran, Transport. Res. Inst., 3rd Int. Conf. Compreh. Crisis Manag. Unforeseen Natural Events, 2016. | ||
|
آمار تعداد مشاهده مقاله: 16,508 تعداد دریافت فایل اصل مقاله: 352 |
||