International Journal of Science, Engineering and TechnologyAuthors: Mr. G. K. Harinadh, Ganga Tanmai, Yemineni Yamini Kalayani, Pujita Dondapati
Abstract: The document gives the details about the creation of an automated and smart railway crossing system with an IoT-based controller. The project goal was to increase safety and save time at railway crossings, mostly in those areas where the gates are still manually operated. It has been found that manually-operated systems are slow in their reaction, over-rely on human vigilance, and often waste time and energy in the course of their ordinary operation. Some so- called "automated" solutions hardly rely on the use of cameras or a single type of sensors to locate a train that is coming. Even if these technologies were to function in perfect conditions, they would still have problems in real cases. The cost of their installation is oftentimes not very affordable, the range of detection can be quite small, and such factors as bad weather, darkness, and dust can deteriorate the performance of devices. Our setup solves that with the help of the NodeMCU microcontroller which acts as the central controller and connects all the parts. Instead of relying on only one source of detection, several sensors are employed to increase reliability. Reed sensors are placed to detect the arrival of a train, infrared sensors are used to detect if there are any objects near the gate or on the track, and a geared motor mechanism is used for smooth gate movement. Supplementary safety features have also been added so that the operator will instantly be notified if something goes wrong. The system has the advantage of IoT which allows it to connect to the Internet. As the system is able to wirelessly communicate with the world outside, it is possible to track the status of the gate from any location, and a malfunction can be identified almost immediately. This will allow the manual checking to be done at intervals and not all the time, and also the system will be less troublesome to maintain. In our research, the setup we propose was found to have a better performance than a number of traditional ways of railroad monitoring such as TinyML-based tracking and GPS-enabled systems. The usage of various sensor types along with continuous data processing and wireless communication leads to much more accurate and speedy gate operations. As a consequence, the total duration of gate closure is shortened which means fewer vehicles are forced to wait and there is a lower risk of accidents. In brief, the presented system is a cost-saving, expandable, and intelligent IoT-based solution to the problem of railway crossing safety. It is in line with the trend of intelligent transportation systems and serves as an example of how current IoT technologies can be used to increase the reliability of the most vital public infrastructure.
