Modelling Human Movements with Turing Learning

Modelling human behaviour is still an ongoing challenge that spaces between several fields like social science, artificial intelligence, and philosophy. Since the research of a metric able to define all the aspect of the human nature is still an ambitious task, most current studies use concepts like social forces or handwritten rules for...

Predicting individual trip destinations with artificial potential fields

Safety in the Face of Uncertainty

This article proposes a safety check extension to Adaptive Cruise Control systems where the critical headway time is estimated in real-time. This critical headway time estimate enables automated reaction to crisis circumstances such as when a preceding vehicle performs an emergency brake. We introduce a method for critical headway approximation...

A multi-objective approach to evolving platooning strategies in intelligent transportation systems

The research in this paper is inspired by a vision of intelligent vehicles that autonomously move along motorways: they join and leave trains of vehicles (platoons), overtake other vehicles, etc. We propose a multi-objective evolutionary algorithm based on NEAT and SPEA2 that evolves highlevel controllers for such intelligent vehicles. The...

Fast, comfortable or economical: Evolving platooning strategies with many objectives

The research in this paper is inspired by a vision of intelligent vehicles that autonomously move along motorways: they join and leave trains of vehicles (platoons), overtake other vehicles, etc. We propose a multi-objective evolutionary algorithm that evolves high-level controllers for such intelligent vehicles. The algorithm yields a set of...

Evolving intelligent vehicle control using multi-objective NEAT

The research in this paper is inspired by a vision of intelligent vehicles that autonomously move along motorways: they join and leave trains of vehicles (platoons), overtake other vehicles, etc. We propose a multi-objective algorithm based on NEAT and SPEA2 that evolves controllers for such intelligent vehicles. The algorithm yields a set of...

Exploratory Analysis of an On-line Evolutionary Algorithm for in Simulated Robots

In traditional evolutionary robotics, robot controllers are evolved in a separate design phase preceding actual deployment; we call this off-line evolution. Alternatively, robot controllers can evolve while the robots perform their proper tasks, during the actual operational phase; we call this on-line evolution. In this paper we describe three...

It’s fate: A self-organising evolutionary algorithm

We introduce a novel evolutionary algorithm where the centralized oracle –the selection-reproduction loop– is replaced by a distributed system of Fate Agents that autonomously perform the evolutionary operations. This results in a distributed, situated, and self-organizing EA, where candidate solutions and Fate Agents co-exist and co-evolve. Our...