Improving Road Networks Using Network Optimization: Case Study of Aley Lebanon

Abstract

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.