Post by Huzaifa Abdur Rehman

#HARxGemini Episode 3: Computational Transport Modeling I am thrilled to release the third installment of the #HARxGemini series! This episode features our latest engineering lab project developed for the Introduction to Information and Communication Technologies (ICT) Lab within the Civil Engineering Department at Sir Syed University of Engineering & Technology (SSUET). Project Overview Title: Computational Evaluation of Spatial Velocity & Parametric Analysis of the Malir Expressway (MEX) Corridor This project directly bridges elementary programming primitives with core transit design concepts. By building a custom calculation and logic framework in Python, we programmatically simulated traffic performance and efficiency metrics along Karachi's newly commissioned 39.3 km signal-free controlled corridor (Shahrah-e-Bhutto). Key Technical Implementation Dynamic Parametric Modeling: Utilized interactive console stream data intake and explicit numeric type-casting to let traffic analysts evaluate varying operational cruising velocities on demand. Relational Control Gates: Enforced structural binary conditional branching blocks to automatically check if transit times satisfy strategic master planning criteria ( 30 minutes). Net Temporal Compression:Quantified real-world city optimization by proving that maintaining an 80 km/hr cruising baseline compresses legacy cross city commute times from a historical 105.0 minutes down to just 29.48 minutes saving over 75 minutes per transit! By integrating fundamental programming primitives with civil infrastructure parameters, this framework provides a lean, active diagnostic model for real-world municipal optimization and smart-city planning. A huge thank you to my group members for their incredible collaboration and hard work in successfully deploying and auditing this system architecture! #HARxGemini #CivilEngineering #ICTLab #PythonProgramming #SmartInfrastructure #TransportationPlanning #MalirExpressway #KarachiInfrastructure #SSUET #UrbanEngineering #ComputationalDesign #TrafficEngineering