Swarm Intelligence for Optimized Traffic Flow in Autonomous Vehicles

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JAYASHREE N; Aashitha Rai P; Bharat Ashok Naik; Bhavyashree K B; Deekshita R

Swarm Intelligence for Optimized Traffic Flow in Autonomous Vehicles

Authors: JAYASHREE N, Aashitha Rai P, Bharat Ashok Naik, Bhavyashree K B, Deekshita R

Unique Paper ID: 178457
Volume: 11
Issue: 12
PageNo: 3509-3515

Keywords: Swarm Intelligence Traffic optimization Intelligent Driver Model Automated vehicles

Abstract:
The rise of automated vehicles introduces new challenges for traffic management, highlighting the need for effective strategies to improve road safety and efficiency. This research investigates the potential of swarm intelligence to enhance traffic flow by organizing vehicles into swarms, particularly focusing on multi-brand platooning. A decision support simulation tool was developed to model various traffic scenarios, incorporating essential features such as driving behavior, lane changes, and overtaking maneuvers. The study addresses critical research questions regarding the influence of swarm size, target speed, and inter-vehicle spacing on overall traffic performance. While previous studies have explored vehicle platooning, there is a notable gap in understanding the interactions among diverse vehicle types within swarm configurations. The findings indicate that utilizing swarm management can lead to significant improvements in traffic flow and safety, underscoring the transformative potential of swarm intelligence in future traffic management systems. The software uses the Intelligent Driver Model (IDM) to simulate the longitudinal dynamics, i.e., accelerations and braking decelerations of the drivers. In such models which has Vehicle to Vehicle communication(V2V), Vehicle to Infrastructure(V2I) adapt various traffic conditions in wide range.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 3509-3515

Swarm Intelligence for Optimized Traffic Flow in Autonomous Vehicles

Available:https://ijirt.org/article?manuscript=178457

08 May, 2025

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