Nowadays the active traffic management is enabled for better performance due to the nature of the real-time large data in transportation system. With the advancement of large data, monitoring and improving the traffic safety transformed into necessity in the form of actively and appropriately. Per-formance efficiency and traffic safety are considered as an im-portant element in measuring the performance of the system. Although the productivity can be evaluated in terms of traffic congestion, safety can be obtained through analysis of incidents. Exposure effects have been done to identify the Factors and solutions of traffic congestion and accidents.In this study, the goal is reducing traffic congestion and im-proving the safety with reduced risk of accident in freeways to improve the utilization of the system. Suggested method Man-ages and controls traffic with use of prediction the accidents and congestion traffic in freeways. In fact, the design of the real-time monitoring system accomplished using Big Data on the traffic flow and classified using the algorithm of random-ized forest and analysis of Big Data Defined needs. Output category is extracted with attention to the specified characteristics that is considered necessary and then by Alarms and signboards are announced which are located in different parts of the freeways and roads. All of these processes are evaluated by the Colored Petri Nets using the Cpn Tools tool. Manuscript profile

Content discovery is one of the fundamental issues that determines the architecture and performance of content distribution networks based on peer-to-peer (P2P) networks. To administrate the costs and discoveries, peers of a P2P network communicate with each other by one or more overlay layers. The condition of node’s relations in overlay networks, have a great impact in efficiency of networks. Therefore the suitability of an overlay network is so important. So it should be proposed some techniques to create the overlay layer in the best possible. Hence, this paper proposes a new method for designing an overlay layer that can improve the efficiency of it .For this purpose, It will be applied one of the mobility prediction patterns and change the Gnutella protocol. After evaluation, simulation results clarified the significant role of mobility prediction on performance of P2P content discovery protocol over mobile ad-hoc networks. Manuscript profile