Estimating the Effect of Newly Proposed Transportation Planning Development for Congested Urban Areas in Greater Cairo Case Study: El Fardous Axis, New Cairo. | ||||
MEJ- Mansoura Engineering Journal | ||||
Article 25, Volume 46, Issue 4, December 2021, Page 17-30 PDF (1.73 MB) | ||||
Document Type: Research Studies | ||||
DOI: 10.21608/bfemu.2021.209666 | ||||
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Authors | ||||
Ahmed Reda Mohamed 1; Ahmed Hassan2; Abd El Zaher Mostafa3; Ahmed Abd Elghani4 | ||||
1Master Student, Dept. of Public Works, Faculty of Engineering, Helwan University, Egypt | ||||
2Associate Professor, Dept. of Public Works, Faculty of Engineering, Cairo University, Giza, Egypt | ||||
3Professor, Dept. of Public Works, Faculty of Engineering, Helwan University, Egypt | ||||
4Associate Professor, Dept. of Public Works, Faculty of Engineering, Helwan University, Egypt | ||||
Abstract | ||||
This research aims at developing a transport model helping in conducting demand predicting for a newly proposed corridor, El Fardous axis, connecting East and downtown Cairo. The transport model is first calibrated and validated for existing traffic conditions and then, it is used to predict the future traffic conditions in the study area, as well as an assessment of the impact of planning data changes, including any proposed development. First, a study area was determined; then, a transport model was developed as a tool for the estimating the demand on the corridor at opening and future modeling years. The data available for developing the model are limited. The data consist primarily of traffic counts at selected locations during normal peak periods. Other data, such as socioe-conomic data and origin-destination studies, were not readily available. To overcome such challenges, an alternative approach was developed and applied in developing the transport model. This research proposes an advanced modeling methodology that tries to make best use of available data achieving the target accuracy. Also, it presents an evaluation of the impact of the proposed axis on traffic pattern and on level of service on the road network and the streets within the study area. | ||||
Keywords | ||||
Traffic counts; Traffic Composition; Seed Matrix; Road network; Transport modeling; Trip distribution; Traffic assignment | ||||
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