JOURNAL ARTICLE

Traffic Lights Control with Adaptive Group Formation Based on Swarm Intelligence

Nikita Tushar Chandak

Year: 2015 Journal:   Asian Journal of Computer Science And Information Technology Vol: 5 (6)

Abstract

Traffic problems nowadays are increasing because of the growing number of vehicles and the limited resources provided by current infrastructures. On intersecting roads, huge number of vehicles leading to congestion and heavy traffic. Traditional traffic controls (warning signs, stop signs, etc.) are used in most areas but these are sometimes inadequate to address the problem. Since the expansion of the traffic network is no longer a socially attainable solution, the existing control systems have to be used in a more intelligent way in order to increase the traffic throughput and decrease total travel times. In our project we are controlling traffic using ‘SWARM intelligence’. Using SWARM intelligence makes the system decentralized i.e. no need of centralized control room. We are also displaying the traffic at next junction in the direction of travelling so that people aware about the traffic of next junction. The methods that are used in this project are design the circuit, write a coding, simulation, synthesis and implement in hardware. In this project, AVR studio Software was chosen to write assembly C coding and MATLAB is used to write coding for DIP part.

Keywords:
Computer science Coding (social sciences) Swarm intelligence MATLAB Traffic congestion Swarm behaviour Software Throughput Floating car data Network congestion Real-time computing Computer network Artificial intelligence Particle swarm optimization Telecommunications Transport engineering Operating system Machine learning

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Topics

Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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