INTEGRATED MULTI-NODAL TRAFFIC NETWORK SYSTEMS
Nikolaos Vogiatzis, Hideto Ikeda, J E Woolley, Yu Qing He, Masters Student · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · 2003
Abstract: Heuristically, traffic management is an important study. From the days of the ancients, and well into the future, the need to transport humans and cargo from one destination to another forms the backbone of a commerce driven culture. However, the ability to transport humans and materials also has altruistic benefits to society, one example being the ability to transport the injured from an accident scene. An integrated multi-nodal traffic network system is a particular direct class of automated system that provides 1) route navigation and obstacle awareness information to traffic network users; 2) coordinated traffic flow management; and 3) traffic movement analysis and reporting. By integrating all three major elements of any traffic network, it is possible to identify traffic hot spots, re-route vehicles from congested sections resulting from incidents, manage law-enforcement issues and plan for future needs. In this paper, we develop the requirements for a concept system called ‘IMagiNaTioN’ (Integrated Multi-Nodal Traffic Network system), and we demonstrate why this is a unique and beneficial system. Key Words: transportation information management, knowledge management, decision