Real-time collision handling in railway transport network: an agent-based modeling and simulation approach

Authored by Poulami Dalapati, Abhijeet Padhy, Bhawana Mishra, Animesh Dutta, Swapan Bhattachary

Date Published: 2019

DOI: 10.1080/19427867.2017.1395983

Sponsors: Indian Department of Science & Technology (DST)

Platforms: Java Java Agent Development Environment (JADE)

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

Advancement in intelligent transportation systems with complex operations requires autonomous planning and management to avoid collisions in day-to-day traffic. As failures and/or inadequacy in traffic safety systems are life-critical, such collisions must be detected and resolved in an efficient way to manage continuously rising traffic. In this paper, we address different types of collision scenarios along with their early detection and resolution techniques in a complex railway system. In order to handle collisions dynamically, a novel agent-based solution approach is proposed using the idea of max-sum algorithm, where each agent communicates and cooperates with others to generate a good feasible solution that keeps the system safe, i.e. collision free. We implement the proposed mechanism in Java Agent DEvelopment Framework (JADE). The simulation results are evaluated with exhaustive experiments and compared with different existing methods to show the efficiency of our proposed approach.

Tags

Simulation Multi-agent system modeling Planning transportation Railway Collision