Transportation Management Plan of Tubas Main Street

Thumbnail Image
علاء بانا
محمد طنبور
نهاد الشخشير
ابراهيم قرنفله
Journal Title
Journal ISSN
Volume Title
Tubas Main Street is one of the most important streets in the city of Tubas. It has heavy traffic volumes almost all day long. This region and its surrounding areas are expected to grow at a rapid rate in the future and are expected to face emerging problems due to such growth. Therefore, it is important to shed light on the problem, find the causes, and find some applicable solutions so that the competent authorities can apply these solutions as much as possible. This study focuses on: 1. Traffic operating conditions. 2. The engineering design of the streets in the region. 3. Proposing ideas and solutions to existing and expected problems. The methodology that has been conducted in this study is based on previous studies in this area, as well as using techniques, methods, and references adopted locally and internationally. Our team made field visits to the considered area to report the state of the street, and collect field data on the traffic operating conditions to be used in the analysis phase. An appropriate design and management plan has been developed. The analysis and designs were based on American Association of State Highway and Transportation Officials (AASHTO), Highway Capacity Manual, and local specifications and standards. Finally, the completed work has been offered into a report with the necessary design plans, tables, figures and proposed solutions. Results of the study are provided in this project include traffic conditions, and geometric designs need to be revised and redesigned in order to improve traffic conditions and reduce congestion level. It also includes improving traffic safety conditions for the study area. The results of this study will be useful for future studies as well. The final output will form a transportation management plan for the study area along with plans and ideas on improving the existing conditions in order to provide the best possible outcomes and solutions for forecasted problems