Keeping pedestrians safe at zebra crossings, where interactions with automobiles are critical, is a primary responsibility. This paper addresses the issue by presenting research on how Internet of Things (IoT) technology might be used to improve pedestrian safety at zebra crossings using automated speed control devices. The major difficulties that pedestrians experience when crossing at zebra crossings are the dangers posed by rapid automobiles. It studies the possibility of enabled devices and sensors to monitor and manage vehicle speeds in real time, resulting in safer pedestrian crossing environments. It assesses the effectiveness of IoT-based speed control systems in reducing vehicle speeds at zebra crossings through a series of experiments and simulations. The influence of these systems on enhancing pedestrian safety is demonstrated by data analysis and statistical modeling. Furthermore, the study goes into issues of technology implementation, such as sensor location, data gathering methods, and communication protocols. These considerations are critical for ensuring integration into infrastructure while also addressing privacy and data security issues by emphasizing the importance of effective protection measures. The study’s findings reveal application of IoT technology has the potential to improve pedestrian safety and pave the way for better urban transit networks. The research reveals that “Walking with Confidence” is more than a catchphrase; it is something that may be achieved by combining enabled crosswalks with automated speed control devices.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Walking with Confidence—An IoT-Enabled Zebra Crossing and Vehicle Speed Control

  • B. R. Shobha Rani,
  • N. Gajalakshmi,
  • S. Bharathi

摘要

Keeping pedestrians safe at zebra crossings, where interactions with automobiles are critical, is a primary responsibility. This paper addresses the issue by presenting research on how Internet of Things (IoT) technology might be used to improve pedestrian safety at zebra crossings using automated speed control devices. The major difficulties that pedestrians experience when crossing at zebra crossings are the dangers posed by rapid automobiles. It studies the possibility of enabled devices and sensors to monitor and manage vehicle speeds in real time, resulting in safer pedestrian crossing environments. It assesses the effectiveness of IoT-based speed control systems in reducing vehicle speeds at zebra crossings through a series of experiments and simulations. The influence of these systems on enhancing pedestrian safety is demonstrated by data analysis and statistical modeling. Furthermore, the study goes into issues of technology implementation, such as sensor location, data gathering methods, and communication protocols. These considerations are critical for ensuring integration into infrastructure while also addressing privacy and data security issues by emphasizing the importance of effective protection measures. The study’s findings reveal application of IoT technology has the potential to improve pedestrian safety and pave the way for better urban transit networks. The research reveals that “Walking with Confidence” is more than a catchphrase; it is something that may be achieved by combining enabled crosswalks with automated speed control devices.