Civil Engineering http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/109 2026-05-13T03:39:18Z 2026-05-13T03:39:18Z ALMUSAWI*1, Ali QADRI, Syed Shah Sultan Mohiuddin Abdulrahman, Hassan Shuaibu ALBDAIRI, Mustafa http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30972 2026-05-08T02:12:05Z 2024-09-23T00:00:00Z

Title: Simulation-Driven Analysis of Urban Intersection's Efficiency: A Case Study in Konya Authors: ALMUSAWI*1, Ali; QADRI, Syed Shah Sultan Mohiuddin; Abdulrahman, Hassan Shuaibu; ALBDAIRI, Mustafa Abstract: Urban traffic congestion poses significant challenges, impacting city life's economic, social, and environmental aspects. Intersections are crucial in urban traffic networks, necessitating efficient management to alleviate congestion and improve traffic flow. This study uses SIDRA INTERSECTION software to evaluate the performance of intersections in Konya, particularly in high-traffic areas such as İhsaniye, Sille, and Kule. The research aims to assess the current level of service (LOS) and identify potential improvements to enhance traffic efficiency and safety. Data was collected using MOBESE (MOBil Elektronik Sistem Entegrasyonu) cameras during peak traffic periods at critical intersections, and vehicle counts were recorded at 15-minute intervals. The data was analyzed with SIDRA INTERSECTION to simulate traffic conditions and assess performance metrics such as delay, degree of saturation, and queue lengths. Findings from the simulations indicated that the intersection at İhsaniye operates at a Level of Service F, characterized by significant delays and congestion across all approaches. The Sille intersection showed a more varied performance, with LOS ratings ranging from B to D, indicating moderate congestion levels. The Kule intersection, with a cycle time of 90 seconds, exhibited LOS ratings of C and D across its approaches, indicating a need for improvements to handle traffic more efficiently. The study proposes targeted improvements, including optimizing traffic signal timings and enhancing lane configurations, to alleviate congestion at these intersections. Implementing these measures is expected to improve traffic flow, reduce delays, and enhance overall intersection performance, contributing to better traffic management and urban mobility in Konya.

2024-09-23T00:00:00Z Ibrahim, Ahmed Ibrahim Abdulrahman, Hassan Shuaibu Abubakar, Mahmud http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30971 2026-05-08T01:24:24Z 2024-01-01T00:00:00Z

Title: ESTIMATION OF PAVEMENT TEMPERATURE CLIMATOLOGICAL ZONES Authors: Ibrahim, Ahmed Ibrahim; Abdulrahman, Hassan Shuaibu; Abubakar, Mahmud Abstract: Temperature is a critical factor influencing flexible pavement design and performance. This study investigates asphalt pavement temperatures across Nigeria's diverse climatological zones, highlighting the impact on pavement performance and durability. Previous studies have not comprehensively addressed Nigeria's diverse climatic conditions. This research fills the gap by classifying Nigeria into hot dry, temperate dry, hot humid, and warm humid zones, providing a detailed approach to bitumen grade selection based on accurate pavement temperature analysis. The methodology involves obtaining air temperature data and computing pavement temperatures using a validated model. Results indicate that Zone 1 (Sokoto, Borno, Adamawa) requires a 40/50 penetration grade bitumen due to a maximum pavement temperature of 44°C, while Zones 2, 3, and 4 are suited for 60/70 penetration bitumen. Emphasizing pavement temperatures over air temperatures enhances road resilience and longevity. This study provides a foundation for an advanced bitumen grading system, offering criteria for selecting bitumen for various Nigerian climatic zones.

2024-01-01T00:00:00Z Attah, Cecilia Abdulrahman, Hassan Shuaibu Alhaji, Mohammed Mustapha http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30943 2026-05-07T16:50:08Z 2025-01-01T00:00:00Z

Title: Advanced Modelling of Geotechnical Performance of desert sand stabilized with hydraullic binders Authors: Attah, Cecilia; Abdulrahman, Hassan Shuaibu; Alhaji, Mohammed Mustapha Abstract: This study evaluates the geotechnical enhancement of Desert Sand (DS) through blending with River Sand (RS) and stabilization using RoadCem (RC) for application in flexible pavement subgrades. DS, though widely available in arid regions, is naturally deficient in strength and cohesion. To improve its engineering properties, DS was mixed witlRS in varying proportions (100% DS to DS/50% RS), with the DS and Rs blend selected for further treatmen with 1%, 3%, and 5% RC. Laboratory tests including particle size distribution, Atterberg limits, compaction, shrinkage, and unconfined com pressive strength (UCS) were conducted. Results revealed that Maximum Dry Density (MDI)) increased from 1.70 g/cm3 to 1.80 g/cm3, and Optimum Moisture Content (OMC) peaked at 9.5%. The untreated 70DS/30RS mix had a UCS of 74.32 kN/m2, which rose to 134.00 kN/m2, 261.75 kN/m2, and 384.45 kN/m2 at 1%, 3%, and 5% RC respectively after 28 days. Plasticity Index from 35.63% to 23.90%, while Linear Shrinkage dropped from 13.24% to 10.25%. All samples were classified asA -3 under AASHTO guidelines. These results confirm that combining RS and RC significantly enhances the suitability of DS for subgrade use, offering a sustainable solution for pavement infrastructure in marginal soil regions.

2025-01-01T00:00:00Z Syed Shah Sultan, Mohiuddin Qadri Mustafa, Albdairi Ali, Almusawi Ahmet, Kabarcik Abdulrahman, Hassan Shuaibu http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30938 2026-05-07T15:31:16Z 2024-11-19T00:00:00Z

Title: Optimization of Signalized Intersections: Analyzing Autonomous Vehicle Behaviors through Data-Driven Simulations Authors: Syed Shah Sultan, Mohiuddin Qadri; Mustafa, Albdairi; Ali, Almusawi; Ahmet, Kabarcik; Abdulrahman, Hassan Shuaibu Abstract: Autonomous vehicles (AVs) present a transformative opportunity to enhance traffic flow, particularly at urban intersections where delays are most frequent. This study investigates how different AV driving behaviors and penetration rates affect traffic efficiency at signalized intersections. Using a microscopic simulation model in PTV VISSIM, the research centers on a four-way intersection in Balgat, Ankara. Five AV driving behaviors—cautious, normal, aggressive, platooning, and mixed—are modeled under various signal cycle lengths. The simulation's accuracy was ensured through calibration and validation with real-world traffic data. The findings reveal that the integration of AVs can significantly improve traffic flow, with aggressive and platooning driving behaviors achieving the most notable reduction in vehicle delays, particularly at shorter cycle lengths (60–70 seconds). Increased AV penetration rates further amplify these positive effects, reducing delays and queue lengths in all tested scenarios. In contrast, cautious AV behaviors led to greater delays, highlighting the importance of intelligent AV driving strategies for optimizing traffic management. The results underscore that optimizing signal cycle lengths in conjunction with AV integration can lead to reduced congestion and improved traffic flow in urban settings. While the study demonstrates the potential of AVs to enhance urban traffic management, it also stresses the need for real-world validation and the development of adaptive traffic signal systems capable of accommodating diverse driving behaviors. These insights offer urban planners and policymakers’ valuable guidance on integrating AVs into current infrastructure to create more resilient and efficient transportation networks.

2024-11-19T00:00:00Z