Thursday 6th Aug, 2020

Alstom using AI solution to manage social distancing in Panama

Alstom

Alstom is using artificial intelligence (AI) technology to manage passenger flow and maintain social distancing.

The system is currently in use on the Panama Metro, where Alstom has deployed its Mastria multimodal supervision and mobility orchestration solution.

Initially used to manage passenger crowding in peak periods, the system has been adapted to maintain social distancing requirements due to the coronavirus (COVID-19).

“The ability of this tool to analyse millions of pieces data in real time makes it an indispensable ally for operators at all times, but especially in the current context. Simply put, it matches transport offer to demand, no matter the conditions,” said Stephane Feray-Beaumont, vice president innovation & smart mobility of Alstom Digital Mobility.

The system gathers data from a various of data sources, including train weight sensors, ticketing machines, traffic signalling, management systems, surveillance cameras, and mobile network.

This data is then fed into an algorithm, which determines when the network is reaching its capacity limit. The operator can then carry out actions in response to the data, whether that be increasing train frequency, adjusting entry to the system, managing people on the platform, or suggesting changes to transport systems that feed into the rail network.

Since being installed on the Panama Metro late in 2019, Mastria has been mining the system’s data to be able to intelligently predict when the system will be reaching capacity through machine learning techniques. After three months, the system could predict saturation up to 30 minutes before it was visibly observed, enabling remedial action to be taken, and reducing wait times in stations by 12 per cent.

During COVID-19, the system has been used to limit train loads to 40 per cent of maximum capacity. To achieve this, new features such as real time monitoring of passenger density and flows, simulating limiting access to stations, and analysing the distribution of passengers along trains have been developed.

When the COVID-19 threat recedes, Panamanian operators will be able to use the new features to manage the return to public transport, said Feray-Beaumont.

“All experts agree that public transportation, and particularly rail, will continue to be the backbone of urban mobility. Artificial intelligence will be our best travel partner in this new era of mobility.”


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