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Title: Improving Road Networks Using Network Optimization: Case Study of Aley Lebanon
Authors: Rayess, Rawad
El-Zahab, Samer
Semaan, Nabil 
Al-Sakkaf, Abobakr
Affiliations: Department of Civil and Environmental Engineering 
Keywords: Computer science
Network modeling
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers
Part of: 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM)
Start page: 212
End page: 216
Conference: International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management ( 7th : 24-26 Aug, 2021 : Pekan, Malaysia)
Traffic congestion in Lebanon is a growing issue with no remedy insight. Traffic is so severe that an 80 km road may take between two to four hours to cross. This is mainly due to the old and poor planning techniques that are applied in the design, expansion, and maintenance of the Lebanese road network. The following article will propose and investigate the utilization of novel tools in network modeling and management to existing networks. Specifically, this article will apply nodal and grouped shortest path analysis for the existing road network in the historical city of Aley. The main aim is to utilize a modern and effective solution that helps in reducing design and implementation costs while providing the maximum network state improvement. The following article presents that this approach is not only time efficient and simple to apply, but also capable of finding unique and impactful solutions that can easily conducted by governmental bodies. This will help governmental institutions with limited budgets and technological capabilities of developing unique and advanced solutions for their road networks.
ISBN: 9781665414074
DOI: 10.1109/ICSECS52883.2021.00045
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Civil and Environmental Engineering

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