An IoT Based Model for a Trucking Transport System Using Predictive Analytics

Abstract

The Internet of Things (IoT) has enormous potential to revolutionize the transport industry. IoT can be used to optimize the mobility of goods and people, adding transparency, updating information, and providing convenience while reducing the cost. The speed drives the requirements of the trucking industry with sustainability, safety and stresslessness. After reviewing the current challenges of supply chain networks, this paper proposes a new smart solution for booking freight in a new way, integrating data from multiple sources using smart cloud-based solutions. This paper provides a solution using two modules. Module 1 is the development of a mobile application for order updates and lives to monitor vehicles. Module 2 is an IoT device, which works as an intelligent device by using sensors and microcontrollers. This results in 'organizations' transparency on the live monitoring of the status of their entire supply chain network, anticipating problems in advance, and immediate response to the problem. This paper has implications for organizations that are driven by increased customer requirements pertaining to lead time delivery services, product availability, and reliability.