Nearly one third of all documented vehicle collisions are reported at urban and rural intersections, and this number continues to rise in spite of technological innovations for vehicle safety. Most collision avoidance systems currently under investigation are based on roadvehicle or inter-vehicle communication. However, reliability remains an issue, as high mobility often leads to message collisions and link breakage. In this paper reliable, real-time intersection collision avoidance (ICA) system based solely on infrastructure communication is proposed. ICA utilizes telematics and wireless sensor networks (WSN) to monitor approaching traffic, detect possible collision, and then transfer information to drivers, warning them of high collision probability.

No abstract

The recent advances in cognitive radio technology based on software defined radio platforms have extended the capabilities of wireless communication systems. The unique ability of cognitive radios to alter their communication protocols to meet changing system demands make them great candidates for wireless applications that are difficult to implement using conventional wireless terminals. Small form factor platforms make cognitive radio portable and easy to deploy. This paper discusses the design and implementation methodology to build a cognitive radio on small form factor platform with heterogeneous processing architecture. The result of this discussion is a configurable wireless transceiver that features two important concepts of cognitive radio, namely configurability and adaptability.