Internet of Things (IoT) Based Automated Calamity Avoidance System for Railway Sectors

Abstract

Tanzania is the regional gateway for a number of landlocked neighboring countries. Zambia, Burundi, Malawi, Congo, Rwanda and Uganda all rely to certain extent on the countries transport network, linking them to the global network. Railways are found to be the most effective transport system in Tanzania after-road transport system and it is Critical to long-haul freight along the main transport corridors of Tanzania. Most of the operations at Tanzania Railway Sector are manual system. For instance closing and opening of the gates are not automatic resulting in calamities and delays in the train’s advent. An innovative method to enhance railway safety measures is proposed in this Paper. This research paper proposes mechanisms which operate automatically without any 600073 intervention. Internet of Things (IoT) can be used to increase different features of the rail system. Automation of railways can transform the current legacy approaches and help decrease the railway related accidents considerably. Many challenges are underscored and dealt with in the proposed research. To summate, this paper aims at enhancing rail safety, minimizing accidents at unmanned level crossings, introducing smart railway gates, preventing calamity, and incorporating digital transformation through the use of IoT.