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OPTIMAL REDESIGN AND ANALYSIS OF CONGESTED INTERSECTIONS; A COMPARATIVE STUDY OF ALTERNATIVE SOLUTIONS

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dc.contributor.author Abid, Muhammad Hamza
dc.date.accessioned 2024-06-14T08:14:56Z
dc.date.available 2024-06-14T08:14:56Z
dc.date.issued 2024
dc.identifier.other -342039
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/44099
dc.description Advisor: Dr. Kamran Ahmed en_US
dc.description.abstract Focusing on the optimal redesign and analysis of congested intersections, specifically examining the Kernal Sher Khan Shaheed Road (KSKSR) in Islamabad. Due to its strategic importance and increasing traffic volumes, the KSKSR has experienced significant congestion, leading to delays, increased vehicle operating costs, and negative environmental impacts. The project employs traffic simulation modeling using PTV VISSIM software to evaluate the current operational conditions and propose alternative solutions for improving traffic flow and reducing congestion. The study encompasses key intersections along the KSKSR, analyzing both pre- and post-rehabilitation scenarios to assess the effectiveness of recent improvements implemented by the Capital Development Authority (CDA) and the National Logistics Cell (NLC). By comparing these scenarios, the project aims to provide evidence-based recommendations for further enhancements, including potential changes in U-turn locations, safety measures, traffic efficient measures like Actuated Signals, Protected Phasing etc. The findings indicate significant improvements in traffic flow, reduction in congestion, travel time at the studied intersections, demonstrating the value of simulation-based analysis in urban traffic management. This research contributes to optimizing urban transportation systems, ultimately enhancing mobility and quality of life for residents and commuters of Islamabad/Rawalpindi. en_US
dc.language.iso en en_US
dc.publisher (SCEE),NUST en_US
dc.title OPTIMAL REDESIGN AND ANALYSIS OF CONGESTED INTERSECTIONS; A COMPARATIVE STUDY OF ALTERNATIVE SOLUTIONS en_US
dc.type Thesis en_US


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