Simulation Based Design of Self-Adaptive Agent Behavior: Road Traffic Data Collection Case Study

Data collection is presented as the fundamental process of a computer project, an industrial project, or a research study. It gathers high-quality data that is then used for precise and intricate analysis. Therefore, through the process of data collection, one can formulate answers to relevant questions, enhance decision-making, and evaluate results. On the other hand, due to the vast amount of data, this process becomes increasingly complicated, necessitating the use of advanced tools and modern methods. In this context, we introduce a new data collection process based on agent software. Specifically, our focus is on self-adaptive agent. In our research, we are interested in collecting data in the field of transportation. Thus, this paper presents a case study illustrating the simulation-based design of a road traffic data collection self-adaptive agent.