智能公交系统通过盲区检测与自动停靠，提升安全与效率。
An Energy-Efficient Smart Bus Transport Management System with Blind-Spot Collision Detection Ability
- 用深度学习实现盲区预警，自动识别公交站
- 盲区检测准确率达99%，停靠精度高
- 适合城市交通管理者与智慧出行研究者
发展中国家的公共巴士系统常因缺乏实时位置更新，导致乘客出行不便且不可靠。随意停靠非指定站点不仅带来安全隐患，还引发道路阻塞和交通拥堵。同时，盲区问题及不遵守交通规则加剧事故风险。本文提出一种智能公交系统，结合智能公交站，提升安全性、效率与可持续性。系统采用基于深度学习的盲区预警机制，实现自动公交站识别，提高通行效率。引入物联网驱动的太阳能智能公交站，可显示实时乘客数量，并通过RFID卡系统追踪上下车地点。智能车门保障有序上下车，实时定位信息让乘客及时掌握车辆动态。系统通过基于HTTP的服务器实现各模块无缝通信。实验表明，盲区检测准确率约99%，车辆能精准停靠站点；服务器实现用户与站点的实时位置更新，显著提升通勤效率。所提出的节能型公交站实现12.71kWh能源节省，推动绿色建筑发展。完整实现与源码见：https://github.com/sadman-adib/MoveMe-IoT
原文摘要 · Abstract (English)
Public bus transport systems in developing countries often suffer from a lack of real-time location updates and for users, making commuting inconvenient and unreliable for passengers. Furthermore, stopping at undesired locations rather than designated bus stops creates safety risks and contributes to roadblocks, often causing traffic congestion. Additionally, issues such as blind spots, along with a lack of following traffic laws, increase the chances of accidents. In this work, we address these challenges by proposing a smart public bus system along with intelligent bus stops that enhance safety, efficiency, and sustainability. Our approach includes a deep learning-based blind-spot warning system to help drivers avoid accidents with automated bus-stop detection to accurately identify bus stops, improving transit efficiency. We also introduce IoT-based solar-powered smart bus stops that show real-time passenger counts, along with an RFID-based card system to track where passengers board and exit. A smart door system ensures safer and more organised boarding, while real-time bus tracking keeps passengers informed. To connect all these features, we use an HTTP-based server for seamless communication between the interconnected network systems. Our proposed system demonstrated approximately 99% efficiency in real-time blind spot detection while stopping precisely at the bus stops. Furthermore, the server showed real-time location updates both to the users and at the bus stops, enhancing commuting efficiency. The proposed energy-efficient bus stop demonstrated 12.71kWh energy saving, promoting sustainable architecture. Full implementation and source code are available at: https://github.com/sadman-adib/MoveMe-IoT
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