The Montreal Port Authority launched an upgrade of the Trucking PORTaI application, which helps port truck drivers plan their routes better and also enhances the traffic flow on port territory, playing a major role in reducing GHG emissions.
Specifically, the application now includes predictive data on processing times at the Port of Montreal’s various container terminals.
Also, the new dashboard presents the average processing times at the various terminals for each 30-minute period over the next 24 hours, as Quick Views are also available for the next three hours. This data is in addition to the real-time wait times on the terminals, information that has been available on the app since its launch in 2016.
Data is available for those acquiring reading access cards using mainly RFID (Radio Frequency Identification) technology. The data collection indicates current transaction times, with the data being analysed and used through AI algorithms then make it possible to model the predictive data.
For the launch of the application, the port authority collaborated with Element AI, a global supplier of artificial intelligence (AI) products, to develop, test and deploy this enhanced technological solution, which consists of a predictive model added to the Trucking PORTal app.
The solution will be proven useful to drivers, dispatchers, trucking companies and container terminal operators.
Sylvie Vachon, President and CEO of the MPA stated that
The new predictive model of the Trucking PORTal app lets us help our Port partners improve operational efficiency and, at the same time, lighten our ecological footprint for a more and more sustainable port.
