INVESTIGATING AN INCIDENT SITUATION USING DATA MINING
Der‐Horng Lee, Shin-Ting Jeng, Priyanga Chandrasekar · 2002
Computer-based simulation and visualization tools help to evaluate new algorithms for incident detection and strategies for incident management. Applications of such tools enable users to evaluate solutions faster than real-time. However, it seems that there is still scope to better investigate situations like traffic incidents and study their impacts, more thoroughly by employing techniques such as data mining. A better understanding of the impacts of an incident helps analysts to design more appropriate incident management strategies. Very little is known to date about the usefulness of applying data mining in traffic and transport related research although data mining has contributed its usefulness significantly in fields like business and space science. In this paper, how an incident situation can be investigated using data mining is explored and described, thereby demonstrating the opportunities that data mining could offer in better understanding the situation. Data to be used for investigation is obtained from simulation using PARAMICS and the tool employed for data mining is DataScope.