Adaptive Traffic Control With TinyML

Author(s):  
A. Navaas Roshan ◽  
B. Gokulapriyan ◽  
C. Siddarth ◽  
Priyanka Kokil
2021 ◽  
Author(s):  
Mustafa Shakir ◽  
Sohaib Aslam ◽  
Syed Abdul Wali ◽  
Fakharul Zaman ◽  
Muhammad Qaiser ◽  
...  

2009 ◽  
Vol 2128 (1) ◽  
pp. 192-201 ◽  
Author(s):  
Cameron Kergaye ◽  
Aleksandar Stevanovic ◽  
Peter T. Martin

2018 ◽  
Vol 143 ◽  
pp. 04008 ◽  
Author(s):  
Roman Andronov ◽  
Evgeny Leverents

By widely introducing information technology tools in the field of traffic control, it is possible to increase the capacity of hubs and reduce vehicle delays. Adaptive traffic light control is one of such tools. Its effectiveness can be assessed through traffic flow simulation. The aim of this study is to create a simulation model of a signal-controlled intersection that can be used to assess the effectiveness of adaptive control in various traffic situations, including the presence or absence of pedestrian traffic through an intersection. The model is based on a numerical experiment conducted using the Monte Carlo method. As a result of the study, vehicle delays, queue length and duration of traffic light cycles are calculated subject to different intensities of incoming traffic flows, and the presence or absence of pedestrian traffic.


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