Extreme Intelligent in Critical Time using Dash Predator Swarm Optimization Algorithm together with High Speed Wireless by Realtime Processing

Abstract

This research propose a new procedure for the path planning of ambulance,  fire engine and police car which focus to critical time. These vehicles want traverse rapidly on the road while jam the traffic such as situation in burn of the building. It want arrive of ambulance, fire engine and policeman at the same time. It is badly situation and cause to increase jams the traffic. This paper proposes new method use search for optimum path planning in the critical time. It is important to safe life and asset of victim. [1] We propose Parallel of  Mapping Analysis which use search for really distance in the real-world. [2] We propose Depth Direction A*(DDA*) which is appropriate with real-time. It take time less than A* and guarantee expand child node less than A*.[3] We propose speed detection algorithm  of  CCTV search for rate of jam the traffic.[4] We propose Client Itinerary Sampling Analysis Model which is tool for traffic management in the urban area.[5] We propose Predator Swarm Optimization Algorithm (P2SOA). It help determines choose optimal path rapidly and high complete rate. It generate several chromosome and rapidly more than other generation of GA. It determine base on condition optimum which is several factor in jam the traffic.[6] We propose technical in high speed wireless for transfer information from ad hoc to server. It will return the best route.[7] We propose Dash Predator Swarm Optimization Algorithm. It use create short-way by estimate obstacles which can destructible. We use improve mapping base on dijkstra algorithm together with parallel map. Second, We test Predator Swarm Optimization Algorithm (P2SOA). Finally, DDA* together with Genetic Algorithm From the experiment, P2SOA takes time at least and return pathway which jam the traffic at least. Result of the experiment, this system take pathway best quickly than other algorithm 65.32-72.50 percentage.