Lateral Pre-crash Sensing and Avoidance in Emotion Enabled Cognitive Agent based Vehicle-2-Vehicle Communication System

Faisal Riaz, Syed Ismail Shah, Muhammad Raees, Imran Shafi, Arslan Iqbal

Abstract


A novel inter-vehicle communication system based on emotion enabled cognitive (EEC) agent has been anticipated as an intelligent solution to evade the road catastrophe due to hasty decisions by drivers. An input stimulus is processed in human brain using a short route and a long route during any emergency situation. The proposed EEC agent, mounted inside a vehicle, acts like a human brain and is stirred by short route information processing mechanism of human brain in fear condition. The results are acquired for the decisions made by the proposed approach through the EEC agent using short route and human drivers using long route during urgent situations. A pre crash sensing and avoidance algorithm has been proposed as well to mitigate the lateral or side by side collision using EEC agent.  Experimental findings reveal that by commencing emotions with cognition, and using formulated L-PCSA algorithm, lateral collisions chances can be sensed and avoided to secure the valued lives of passengers. It has been pragmatic that the new approach is very effectual and useful in shunning the lateral road collisions.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


International Journal of Communication Networks and Information Security (IJCNIS)          ISSN: 2076-0930 (Print)           ISSN: 2073-607X (Online)