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International Journal of Transportation Engineering، جلد ۱۱، شماره ۳، صفحات ۱۵۳۳-۱۵۴۵
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عنوان انگلیسی Capacity Analysis and Level of Service Estimation for a Section of the Highway Based on HCM2016 (Case Study: Shahid Sadr Highway Class-Bridge)
چکیده انگلیسی مقاله Annually, traffic problems ranging from congestion, air and noise pollution, abundant accidents, unacceptable increases in travel time, and various types of damages are the advance of most countries, especially in developing countries. Environmental pollution, casualty, and financial costs, as well as accidents, increased fuel consumption, the extent of resources allocated to build the network, and the huge cost of construction of various transport systems, as well as other side costs, destroy large amounts of human and economic resources in the country. It becomes. Therefore, the prediction of traffic for a pre-construction route as well as analyzing and estimating the capacity and prediction of future demand, due to the expansion and improvement of the network and preventing the creation of problems developed from increasing demand and lack of facilities, and can have problems The existing network minimizes the country's roads. Functional criteria are determined by defining the concept of level-of-service (LOS). In this research, the analysis of highway capacity was obtained using the data from the Shahid Sadr class-bridge in Tehran, based on the 415, HCM2016 regulations and headway methods, and then the results were compared using Synchro and Aimsun software.
کلیدواژه‌های انگلیسی مقاله Capacity Analysis, Level of Service, Traffic Performance Index, HCM2016 Regulation
نویسندگان مقاله Hassan Khaksar |
Assistant Professor of Civil Engineering,North Tehran Branch, Islamic Azad University, Tehran, Iran

Shahin Hassani |
Ph.D. Candidate, Iran University of Science and Technology, Tehran, Iran

Mohammad Hossein Tamaddon |
MSc, Department of Civil Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran

نشانی اینترنتی http://www.ijte.ir/article_181128_ac58ec7a8c665af400131a61de5808c5.pdf
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