The Impact of Integrating IOT in URBAN DEVELOPMENT
1Abhinav Chauhan, 2Ayu Tyagi, 3Khushi Tyagi, Ms Ritu Singh
Meerut Institute Of Engineering and Technology, Meerut
Abstract
The implementation of the Internet of Things (IoT) in urban development has proven to be transformative, especially for traffic management systems. This paper explores the deployment of IoT-enabled smart traffic lights designed to alleviate traffic congestion, particularly at complex four-way intersections [1]. By leveraging real-time data collection and communication between traffic lights and connected vehicles, IoT systems optimize traffic signal timings to reduce vehicle wait times and ease traffic flow. This approach not only improves travel efficiency but also contributes to lower fuel consumption and emissions, supporting broader urban sustainability goals. Through advanced algorithms and sensor technology, IoT-enabled traffic systems offer adaptive solutions that respond dynamically to fluctuating traffic conditions, paving the way for more efficient and resilient urban mobility.
This study examines the use of Internet of Things (IoT) technology to create smart traffic lights aimed at reducing congestion at four-way intersections. By integrating sensors and data analytics, these traffic systems adjust signal timing in real-time based on traffic flow [2], reducing vehicle wait times and improving fuel efficiency. The adoption of IoT in traffic management not only streamlines urban mobility but also aligns with sustainability goals by minimizing emissions and resource usage.
This paper explores the role of Internet of Things (IoT) technology in enhancing urban traffic management through smart traffic lights. By using real-time data from sensors, these IoT-enabled lights optimize traffic flow at four-way intersections, significantly reducing congestion and vehicle idling time [3]. This innovation supports efficient urban transit while promoting environmental benefits such as lower emissions and fuel savings.
Keywords: Machine learning, segmentation, traffic management, IOT.
