The Impact of IoT and Machine Learning on Urban Mobility and Traffic Management in Smart Cities

EasyChair Preprint 14799

Abstract

Fast urbanisation in cities has brought poorly functioning transport, traffic, and pollution.IoT and machine intelligence can help in resolving these problems. The possible advantages of the Internet of Things (IoT) and machine learning for bettering public transit in metropolitan settings are investigated in this paper. The research looks at simplifying traffic rules, improving public transport, and enabling individuals to negotiate smart cities. Through case studies and dataset analysis, this article shows how machine learning (ML) and the IoT may be applied to enhance public transit systems' performance, lifetime, and usability.

Keyphrases: Automation, Internet of Things (IoT), Machine Learning (ML), Smart Cities, Traffic Management, Transportation Challenges, Urbanization, air pollution, public transit, real-time data, traffic congestion

@booklet{EasyChair:14799,
  author    = {Himmat Rathore},
  title     = {The Impact of IoT and Machine Learning on Urban Mobility and Traffic Management in Smart Cities},
  howpublished = {EasyChair Preprint 14799},
  year      = {EasyChair, 2024}}