A Mathematical Model for Locating Intelligent Road Transportation Systems (Case Study: Fixed Camera System for Speed Violation Registration)

Optimal location selection of fixed speed enforcement cameras is a key component of effective speed management, road safety enhancement, and the reduction of highway accidents. The objective of this research is to propose a model for the optimal placement of speed enforcement cameras on intercity roads, aiming to transition the selection process from empirical, intuition-based decision-making to a scientifically and analytically grounded approach. This study is classified as descriptive-survey research in terms of its purpose and methodology. Data were collected via questionnaires, leveraging the expertise of professionals in road safety, road transport, road management centers, and highway police. The Delphi method was employed to identify, refine, and prioritize the indicators influencing camera placement. Ultimately, the final criteria were categorized into four primary dimensions: safety factors, traffic factors, geometric and physical road characteristics, and existing technical infrastructure. Subsequently, through data modeling and analysis, a framework was developed to evaluate and select suitable installation points, identifying the optimal locations for speed enforcement cameras within the intercity road network. The findings demonstrate that adopting an analytical model-based approach, integrated with expert judgment, can enhance the accuracy and efficiency of decision-making in the placement of surveillance equipment. Furthermore, the proposed model enables a focus on high-risk areas, improves speed management, elevates transit safety levels, and ensures the optimal utilization of resources and investments in the road transport sector.