Wireless Traffic Light using Artificial Intelligence

Using Artificial Intelligence to Support Traffic Flow Managment Problem Resolution

The Federal Aviation Administration (FAA) is in the process of defining and documenting the operations concept and architecture for the future Traffic Flow Management (TFM) system. The challenge of future TFM is to organize complex air traffic flows through busy areas in the National Airspace System (NAS), manage the volume of traffic into and out congested airport areas, and minimize delay-rel...

Using Artificial Intelligence in Wireless Sensor Routing Protocols

For the latest ten years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, self-organizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligen...

Artificial Intelligence for Wireless Sensor Networks Enhancement

Cryptic Mining in Light of Artificial Intelligence

“The analysis of cryptic text is hard problem”, and there is no fixed algorithm for generating plain-text from cipher text. Human brains do this intelligently. The intelligent cryptic analysis process needs learning algorithms, co-operative effort of cryptanalyst and mechanism of knowledge based inference engine. This information of knowledge base will be useful for mining data(plain-text, key ...

Smart Traffic Light Junction Management Using Wireless Sensor Networks

In recent years, Wireless Sensor Networks (WSN) have been increasingly involved in Intelligent Transportation System (ITS) optimization, especially in dynamic management of signalized intersections. This paper discusses the state of art and shows an IEEE 802.15.4 network architecture to monitor vehicular traffic flows near to a traffic light. The architecture is characterized by an innovative a...