Smart traffic light in terms of the cognitive road traffic management system (CTMS) based on the Internet of Things

Author(s):  
Volodymyr Miz ◽  
Vladimir Hahanov
Author(s):  
Solomon Adegbenro Akinboro ◽  
Johnson A Adeyiga ◽  
Adebayo Omotosho ◽  
Akinwale O Akinwumi

<p><strong>Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion ha</strong><strong>s</strong><strong> be</strong><strong>come</strong><strong> a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model </strong><strong>was</strong><strong> simulated and the performance was </strong><strong>assessed</strong><strong> using response time, delay and throughput. Results showed that</strong><strong>,</strong><strong> mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.</strong></p>


Author(s):  
Pranav Godway ◽  
R Gowrishankar ◽  
Vikram SeshaSai ◽  
Venkata Sai Surya Laxman Rao Bellala ◽  
Y Sai Kiran Kumar Reddy ◽  
...  

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