New project to predict public transport flows using AI
Growing traffic congestion and soaring fuel prices are common reasons for many residents in Vilnius to choose public transport. Unfortunately, many people still find late or overcrowded buses unattractive. Lithuanian technology company AAI Labs is using artificial intelligence and machine learning to offer solutions to these problems by participating in the international funding programme Eurostars, together with their partner DFRC Co. Ltd. from South Korea.
This project aims to develop a real-time public transport optimisation system based on sensors installed at various locations around the city, to monitor passenger flows in real-time. The system will incorporate an AI forecasting model that will be able to predict passenger flows 1-3 hours in advance and offer public transport authorities the possibility to send additional transport in advance. To protect people's identities and comply with the GDPR directive, the system will not collect any sensitive user data and will use advanced cryptographic technologies.
The company plans to install modern passenger flow sensors on Vilnius public transport buses and bus stops, provided by their Korean partners as part of the project. These sensors are able to detect the number of passengers based on the mobile signals of those on board. The data collected remain completely anonymous, are encrypted in a modern way and do not violate the GDPR standards. The collected passenger flow data will help AAI Labs researchers to develop an accurate passenger flow prediction model.
The project is scheduled to end in 2024. If successful, the system is expected to be rolled out across Lithuania in cooperation with other municipalities and will bring real practical benefits to Lithuanian public transport, i.e., avoiding overcrowded or empty buses, thus making public transport more appealing and reducing the cost of travel.
AAI Labs is a Lithuanian technology company that implements artificial intelligence and machine learning-type projects/systems. The company has already successfully completed a number of projects, including the development of an optical recognition system, the release of a virtual voice assistant in Lithuanian and many other AI-based business solutions. The company is currently expanding rapidly and increasing its competencies in the field of transport optimisation.
DFRC Group is the world's leading provider of WiFi-based mobile phone detection solutions. Using software radio and artificial intelligence technologies, it is possible not only to detect and track mobile devices but also to predict the likely behaviour of visitors in the area monitored by the system. The unique and patented MAC derandomisation technology enables the enumeration and tracking of iOS and Android devices that use random technology to scan WiFi and detect devices even when the device's WiFi is switched off. Today, DFRC’s solutions are already deployed in 30 cities in Korea and 59 cities around the world, including Bangkok, Bologna, Prague, Singapore and Milan. Vilnius is the next stop.
Partly reproduced from: http://www.technologijos.lt/n/technologijos/it/S-106696/straipsnis/Naujas-lietuviu-projektas-sieks-optimizuoti-transporto-srautus-naudojant-dirbtini-intelekta