require fast and reliable communication between cars (vehicle-to-vehicle V2V) or between a car and a road side unit (vehicle-to-infrastructure). The fundamental component for the success of Vehicular Ad-hoc Networks (VANET) applications is routing. In this paper we propose a VANET routing protocol that is especially designed for city environments. This protocol is based on the localization of the node, the cost assigned to the section and score for each vehicle. We present in this paper a detailed description for the proposed protocol compared to GyTAR protocols. Knowing that the GyTAR protocol is performing than the GSR and LAR protocols as demonstrated in [1]

Developing new Intelligent Transportation Systems which take into consideration the socio-economical, environmental, and safety factors of the modern society, is one of the grand challenges of the next century. Recent progress in the fields of Mobile Robots, Control Architectures, and Computer

This is the author’s version of a work that was submitted/accepted for pub-lication in the following source: Larue, Gregoire S., Rakotonirainy, Andry, & Haworth, Narelle L. (2012) Methodology to assess safety effects of future Intelligent Transport Sys-tems on railway level crossings

's; and 3) points out possible future research directions. It is shown, through a considerably large literature review, that combinations between ANN's and EA's can lead to significantly better intelligent systems than relying on ANN's or EA's alone

methodologies; they are grouped in 2-D approaches with or without explicit shape models and 3-D approaches. Where appropriate, systems are reviewed. We conclude with some thoughts about future directions. c ○ 1999 Academic Press 1.

flexibility enhances cognitive simulation studies by simplifying experimentation. Furthermore, SME is very efficient, making it a useful component in machine learning systems as well. We review the Structure-mapping theory and describe the design of the engine. We analyze the complexity of the algorithm

Images containing faces are essential to intelligent vision-based human computer interaction, and research efforts in face processing include face recognition, face tracking, pose estimation, and expression recognition. However, many reported methods assume that the faces in an image or an image

ongoing physical interaction with the environment as the primary source of constraint on the design of intelligent systems. We show how this methodology has recently had significant successes on a par with the most successful classical efforts. We outline plausible future work along these lines which can

The simulative performance evaluation of future Intelligent Transport Systems (ITSs) is a challenging task. New mobility patterns, induced by car sharing or autonomous vehicles, the switch towards electric or hydrogen vehicles, and the commu-

A novel task instruction method for future intelligent robots is presented. In our method, a robot learns reusable task plans by watching a human perform assembly tasks. Functional units and working algorithms for visual recognition and analysis of human action sequences are presented. The overall