In this paper, we propose a novel decentralised agent-based mechanism for road intersection management connected autonomous vehicles. our work focus on obstructions causing major traffic delays. doing so, the first able to maximise overall vehicle throughput at intersections in presence of obstructions. The distributed algorithm transfers most computational cost from manager driving agents, the...

Vehicle utilization analysis is an essential tool for manufacturers to understand customer needs, improve equipment uptime, and collect information future vehicle service development. Typically today, this behavioral modeling done on high-resolution time-resolved data with features such as GPS position fuel consumption. However, costly transfer sensitive from a privacy perspective. Therefore, t...

We present our most recent efforts in applying XCS to automatic target recognition (ATR). We place particular emphasis on ATR as a series of linked problems, which include pre-processing of multi-spectral data, detection of objects (in this case, vehicles) in that data, and identification (classification) of those objects. Multi-spectral data contains visual imagery, and additional imagery from...