AN EFFICIENT DATA MODEL FOR LARGE SCALE TRANSPORTATION SYSTEMS

Abstract

The emphasis on transportation for urban, suburban and interstate systems has brought about a need for reconsidering the types of models which are used for such systems. Two primary problems appear to be common in most large‐scale applications involving the amount of data and the time required to use the model as part of a real‐time system. The systems considered are traffic systems which can be classically modeled using vertices and edges to form a static network over which a vehicle or vehicles are to be routed. The problem that is solved is one of developing a model to be used for the storage of the connection and/or cost information of the system.

Citation

HOELZEMAN, R.G. and MICKLE, M.H. (1974), "AN EFFICIENT DATA MODEL FOR LARGE SCALE TRANSPORTATION SYSTEMS", Kybernetes, Vol. 3 No. 2, pp. 73-79. https://doi.org/10.1108/eb005355