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Project: Digital Twin of Swat Motorway for Identifying Critical Geometric Features and Traffic Safety Risks
Project: Digital Twin of Swat Motorway for Identifying Critical Geometric Features and Traffic Safety Risks
Swat Motorway is a mountainous motorway in Pakistan with several challenging geometric features, including sharp curves, steep grades, and complex alignment conditions. These features can make it difficult for drivers to maintain a stable speed, particularly in high-speed sections. As a result, speed variation, sudden deceleration, and unsafe driving conditions may occur, which can compromise traffic safety.
In this project, I developed and applied a traffic analysis tool to evaluate traffic conditions on a selected section of Swat Motorway. The tool supports traffic state estimation, identification of critical geometric locations, assessment of safety conditions, and evaluation of possible control measures. It is also designed to support safety analysis using proposed key performance indicators related to speed variation, traffic instability, and critical road geometry.
The animation presented on this page shows how traffic speed evolves over time along the motorway section. It visualizes the spatial and temporal changes in velocity, helping to identify locations where traffic slows down, becomes unstable, or shows signs of potential safety risk. Such visualization is useful for understanding how road geometry affects traffic performance and where targeted safety or control interventions may be required.
This project demonstrates how data-driven traffic modeling and visualization can support practical motorway safety assessment, especially for mountainous highways with complex geometry. The developed tool can be extended for several industry applications, including traffic monitoring, critical curve detection, safety evaluation, traffic control design, and intelligent transportation system support.
SWAT_speed_zoom_0.0_to_5.0km_17.00h_to_22.00h.mp4Project: Model-Based Pedestrian Flow Analysis for Train Station Platforms
Project: Model-Based Pedestrian Flow Analysis for Train Station Platforms
Managing pedestrian movement in busy train stations is a complex operational challenge, especially when multiple trains arrive at the same time. High passenger demand, limited platform space, and restricted exit capacity can create congestion, increase evacuation time, and reduce the overall efficiency and safety of station operations.
In this project, I developed a model-based simulation system to analyze pedestrian flow dynamics on train station platforms. The system allows the evaluation of passenger movement, evacuation time, platform congestion, and the effect of access-control infrastructure such as tap-in/tap-out fare machines. It can be used to test different operational scenarios and assess how station layout, passenger demand, and exit capacity influence pedestrian flow.
The video presented below on this page shows a homogeneous simulation experiment in which two trains arrive at the same station at the same time. The animation illustrates how passengers leave the trains, move across the platform, and pass through five tap machines. It also shows how long passengers need to evacuate the platform and how the tap machines influence the overall flow dynamics.
This project demonstrates how pedestrian flow modeling can support practical decision-making for train station design, safety assessment, evacuation planning, and operational management. The developed system can help identify congestion points, evaluate infrastructure capacity, and support safer and more efficient passenger movement in complex station environments.
TrainStation_Simualtion.mp4Page updated
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