Spatial temporal database model for detection and circumvention of traffic congestion in urban transportation network: Game theoretic approach

The urban transportation network is made up of vehicles in motion, dynamic static and moving obstacles. These obstacles block the path of the moving vehicles thereby causing traffic jam. Thus it is important to model the network explicitly and to describe the movement of the vehicle and obstacles relative to the transportation network. In this study the researchers have addressed the: (i) problem of the transportation network as a non-deterministic, non-cooperative n - person game and (ii) the collision free geometric path is computed by using a 2 player non-deterministic game which detects the dynamic obstacles in the transportation network and computes all the possible geometric paths and selects the optimal path for the vehicle to travel in a 2-D and 3-D workspace (iii)To resolve the traffic congestion at a road merge, cooperative game theory model is designed and developed using the concepts of Time-Divisions Multiple Access(TDMA) data slot that propagates through the a transportation channel. The 2-D spatial-temporal database model is implemented using game theoretic approach for facilitating disaster management response activity. User defined data types are designed for representing the static and moving network positions of the vehicles and the obstacles. In the transportation network entities such as hospitals, emergency vehicles, and obstacles corresponds to these data types. The roads in the network are also identified as simple or dual and bidirectional or unidirectional routes. These user defined data types are created using an object oriented programming language such as JAVA and then incorporated in DBMS. © Technomathematics Research Foundation.