REVIEW OF METHODS FOR TRAFFIC CONTROL AT INTERSECTIONS AND TRAFFIC SIGNAL CYCLE MANAGEMENT

This article discusses the regulation of traffic at intersections and evaluates different types of intersections such as signal-controlled, roundabouts, and uncontrolled intersections. Traffic regulation plays a crucial role in ensuring both safety and efficiency. Roundabouts, while reducing the number of conflict points and increasing traffic capacity, can be challenging for drivers unfamiliar with them and are less effective at high-traffic intersections. Uncontrolled intersections are cost-effective and simple but pose safety risks due to unclear traffic priorities and are unsuitable for high-traffic areas. Signal-controlled intersections, although more expensive to install and maintain, offer a high degree of flexibility and can efficiently handle heavy traffic while reducing the risk of accidents. The article further explores different types of traffic lights, including fixed, adaptive, and intelligent systems. Fixed traffic lights operate on predetermined cycles, offering simplicity but lacking adaptability. Adaptive traffic lights use real-time data to optimize traffic flow dynamically. Intelligent traffic lights integrate advanced technologies like AI and V2X communication to predict and manage traffic, improving safety and reducing emissions. However, they require significant infrastructure investment and data management. In conclusion, the choice of traffic regulation method depends on specific urban needs, with modern technologies offering enhanced safety and efficiency, though often at a higher implementation cost.

Authors

Publication Details

Journal
Bulletin of the National Technical University «KhPI» Series Automobile and Tractor Construction
Published
2024-11-28
DOI
https://doi.org/10.20998/2078-6840.2024.2.07
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
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article

REVIEW OF METHODS FOR TRAFFIC CONTROL AT INTERSECTIONS AND TRAFFIC SIGNAL CYCLE MANAGEMENT

Serhii Selevych, Oleksii Skliarov
Bulletin of the National Technical University «KhPI» Series Automobile and Tractor Construction
Traffic Prediction and Management Techniques
article

REVIEW OF METHODS FOR TRAFFIC CONTROL AT INTERSECTIONS AND TRAFFIC SIGNAL CYCLE MANAGEMENT

Serhii Selevych, Oleksii Skliarov
article en

Abstract

This article discusses the regulation of traffic at intersections and evaluates different types of intersections such as signal-controlled, roundabouts, and uncontrolled intersections. Traffic regulation plays a crucial role in ensuring both safety and efficiency. Roundabouts, while reducing the number of conflict points and increasing traffic capacity, can be challenging for drivers unfamiliar with them and are less effective at high-traffic intersections. Uncontrolled intersections are cost-effective and simple but pose safety risks due to unclear traffic priorities and are unsuitable for high-traffic areas. Signal-controlled intersections, although more expensive to install and maintain, offer a high degree of flexibility and can efficiently handle heavy traffic while reducing the risk of accidents. The article further explores different types of traffic lights, including fixed, adaptive, and intelligent systems. Fixed traffic lights operate on predetermined cycles, offering simplicity but lacking adaptability. Adaptive traffic lights use real-time data to optimize traffic flow dynamically. Intelligent traffic lights integrate advanced technologies like AI and V2X communication to predict and manage traffic, improving safety and reducing emissions. However, they require significant infrastructure investment and data management. In conclusion, the choice of traffic regulation method depends on specific urban needs, with modern technologies offering enhanced safety and efficiency, though often at a higher implementation cost.

Bulletin of the National Technical University «KhPI» Series Automobile and Tractor Construction(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Traffic Prediction and Management Techniques
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