traffic light control
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2022 ◽  
Vol 71 (2) ◽  
pp. 2225-2247
Author(s):  
Faizan Rasheed ◽  
Kok-Lim Alvin Yau ◽  
Rafidah Md Noor ◽  
Yung-Wey Chong

Author(s):  
Atzroulnizam Abu ◽  
Muhammad Ikhmal Abdul Rahman ◽  
Muhamad Fadli Ghani ◽  
Mohd Saidi Hanaffi ◽  
Ahmad Zawawi Jamaluddin

Author(s):  
C. Özarpa ◽  
İ. Avcı ◽  
B. F. Kınacı ◽  
S. Arapoğlu ◽  
S. A. Kara

Abstract. There are regular developments and changes in cities. Developments in cities have affected transportation, and traffic control tools have changed. Traffic signs and traffic lights have been used to direct pedestrians and vehicles correctly. Traffic light control systems are used to ensure the safety of vehicles and pedestrians, increase the fluency in traffic, guide them in transportation, warn pedestrians and drivers, and regulate and control transportation disruptions. In order to facilitate people's lives, it is desired to control the traffic components autonomously with the developments in autonomous systems. Cyber threats arise due to the active use of the internet and signals or frequencies in the use of modules that will provide communication with traffic lights, traffic signs, and vehicles, which are traffic components at the inter-sections of many roads in the control of central systems. The study is limited to smart traffic lights, which are traffic components. If we examine the cyber-attacks, we can see that Malware Attacks, Buffer Overflow Attacks, DoS attacks, and Jamming Attacks can be made. Network-Based Intrusion Detection Systems and Host-Based Intrusion Detection Systems can be used to detect and stop Malware Attacks, Buffer Overflow Attacks, DoS attacks, and Jamming Attacks. Intrusion detection systems tell us whether the data poses a threat or does not pose after the data passing through the system is examined. In this way, system protection is ensured by controlling the data traffic in the system.


2021 ◽  
Vol 2021 (2) ◽  
pp. 30-41
Author(s):  
Yuriy Royko ◽  
◽  
Yurii Yevchuk ◽  
Romana Bura ◽  
◽  
...  

The method and results of transport research, carried out by field research method, on the determination of the main indicators of traffic flows with significant unevenness of the movement on the arterial street in conditions of coordinated control is reviewed in the paper. Time parameters of traffic light control for which a reduction in traffic delay is achieved in direct and opposite traffic flow by the change of permissive signal depending on traffic intensity are determined using the simulation method. Change (increase) of the duration of the permissive signal provides uninterrupted movement of vehicles` group during their passage of stop-line at traffic light objects. The proposed method can be used on sections of transport networks with coordinated control, where there is significant heterogeneity of traffic flow, and it prevents the dissipation of groups that consist of vehicles with different dynamic characteristics. Such a result is being performed in the case when in the system of automated control, which combines adjacent intersections on an arterial street, fixed-time program control of traffic light signalization is operating. In this condition, there is a possibility to adjust the duration of signals of traffic light groups by correcting the width (permissive signal duration) and angle of inclination (speed of movement) of the timeline in coordination graphs. The scientific novelty of this research is that the method of traffic delay minimization in conditions of coordinated control acquired further development. The essence of the method is in the controlled change of the range of permissive signal duration in conditions of simultaneous control of the speed of movement between adjacent intersections. Practical value is the application of different programs of traffic light control on sections of arterial streets in transport districts where a significant difference of values of traffic intensity by directions is in morning and evening peak periods.


Author(s):  
Sourabh Thakur ◽  
Kanishak Sharma ◽  
Sonu Kumar ◽  
Velpula Upendra ◽  
Javed Dhillon

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