RAK Transport Authority (RAKTA) launched the experimental phase of smart monitoring and control systems in transportation, represented by smart surveillance cameras in buses and taxis, smart meters, and a smart control center.
The project included installing four smart cameras in taxis, in addition to eight cameras on public transport buses, which aim to enhance and provide the highest levels of security and safety in transportation in the Emirate of Ras Al Khaimah. Including the driver behavior monitoring system to ensure their commitment to the rules, principles, and ethics of work, in addition to motivating them to observe optimal behaviors in dealing with transport users, as the cameras enable those concerned to follow drivers’ behavior during the trip and monitor any violations that may affect the level of service provided, which contributes to reducing the customers’ complaints. It is worth noting that the cameras system works through smart sensors for customer boarding to transportation.
The project also includes smart meters system, which is considered one of the latest technologies for taxis that operate with an artificial intelligence system to improve fleet operations. It will also be linked to a smart control center in which it will view the bus and taxi fleets in real time 24 hours a day, thus enhancing the smart city system.
H.E. Eng. Esmaeel Hasan Al Blooshi, General Manager of RAKTA, affirmed that the aim of these smart systems is to strengthen the security system in the emirate of Ras Al Khaimah, and to enhance government directions to shift to smart cities and raise the quality of life for the emirate’s residents. As this project serves the first strategic objectives of “people happiness” the second, “integrated transportation” and the fifth “future shaping”. These systems also provide support and a solution for the comprehensive management of taxi and bus fleets using the latest artificial intelligence technologies.
Al Blooshi also confirmed that the smart cameras, smart meters, and the control center that work with artificial intelligence technologies are considered a source of big data to be analyzed in a way that helps decision-makers in improving and developing services and maintaining the safety and security of transportation users by reducing traffic accidents, complaints, and lost items in transportation.