Abstract
A concept to make a traffic signal management system with the help of genetic algorithms and the Internet of Things, to reduce the average waiting time for vehicles on traffic signals is proposed. Several scenarios with varying traffic density are simulated and a neural network to allot green light time to each road is trained by neuroevolution using genetic algorithms and self-adaptive genetic algorithms for minimising learning time, increasing accuracy and better generalisation. Based on results a model is proposed and performance data is analysed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
