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Smart Technology for Transport Operations

Smart technology applies advanced technology of computer, communication, control, and sensing. Objectives for smart technology are to improve traffic safety, relieve traffic congestion, improve transportation efficiency, reduce air pollution, increase energy efficiency, and promote the development of related industries. Intelligent Transport System (ITS) technology makes it possible to use a navigation system to find the best route based on real-time conditions. It also improves freight tracking, inspection, safety, and efficiency for public transportation. Advanced Traffic Management System (ATMS) help detects traffic situation. This article discusses some smart technologies that most organizations can implement for transport operations. All technologies build upon themselves and allowing for innovative approaches as technology evolves.

Intelligent Transportation System

Intelligent Transportation Systems (ITS), Internet of Things (IoT), and Artificial Intelligence (AI) have been developed by all countries recently. ITS has been widely accepted use in many countries, it is not just limited to traffic control information, but also for road safety and efficient infrastructure usage and aims to achieve traffic efficiency by minimizing traffic problems. IoT is referred to as telematics in logistics and operates on three-level connected hardware infrastructure which facilities data exchange and processing and the software tier. AI is intelligence demonstrated by robots or machines, unlike the naturally displayed by humans and animals, which is involves emotionally and consciously.

Traffic Management Centre (TMC) is a technical system administered by the transportation authority to help collect all data and analyzed it for further operations and control management of the traffic in real-time or information about local vehicles. The data here is collected via varied hardware devices that lay the base of further ITS functions. Drivers in the can use a variety of hardware devices to track their journeys. The data is sent to users at the data collection centre located at the service provider’s location.

Unmanned Aerial Vehicles (UAV) Technology

UAV knows as a drone; it is an aircraft without any human pilot or crew. Which is additionally a ground-based controller and has a system that communicates with UAV. An Unmanned Aerial Vehicle (UAV) is defined as a powered, aerial vehicle that does not carry a human operator. The initialism is increasingly being taken to mean an Unscrewed Aerial Vehicle. This terminology has issues with proposed autonomous aerial taxis. The flight by UAV operates under remote control by humans as Remotely Piloted Aircraft (RPA). The RPA is a software technology that automates low-level task using robots and machine which imitate human action to doing a repetitive task. RPA with various degrees of autonomy, autopilot assistance, and fully autonomous aircraft that have no provision for human interventions.

Autonomous technology enables self-driving vehicles. The driverless truck can be navigating, stay in their line, slow, or stop in response to traffic conditions without intervention. Autonomous drones can carry out missions without the need for human intervention. They use cloud computing, computer vision, artificial intelligence, machine learning, deep learning, and thermal sensors to avoid collisions with other aircraft in the air or on the ground.

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Sivsangkari AP David, DLSM
Sivsangkari AP David, DLSM
Sivsangkari David has substantive years of experience in the specialised field of logistics operations, and specifically in the semiconductor industry. Her responsibility includes inventory, warehousing, and distribution logistics. Shiva is a member of Singapore Institute of Purchasing and Materials Management (SIPMM). She completed the Diploma in Logistics and Supply Management (DLSM) on June 2021 at SIPMM Institute.

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