According to Ford, Big Data could make cities safer
Ford has developed some smart mobility solutions to identify the areas where the concentration of road accidents is greatest and thus allow city authorities to take preventive action.
According to the study, thanks to the use of Big Data, it would be possible to determine the "most critical" areas, as emerged from the evaluations of the Ford Smart Mobility team that has spent over a year analyzing the mobility of London and its surroundings by monitoring the vehicle routes and data related to some typical behaviors of emergency situations such as braking in its various intensities, in addition to the activation of emergency lights.
This has helped to identify the areas with the most intense mobility. The Ford team then crossed this information with the reports on the incidents that occurred and built an algorithm to determine its future probabilities.
This is just one of the reflections that emerged in the Ford Data Report presented by the Ford Smart Mobility Team at the Financial Times Future of Transport held in London yesterday.
The report, using the data obtained and analyzed with the consent of the participants, gathered the results of over 15,000 days of monitoring of a fleet of 160 commercial vehicles that travelled over 1 million kilometers, the equivalent of 20 laps around the earth, producing 500 million data points.
Ford, which is involved in the development of vehicles designed for a smart world, has equipped every vehicle used in the study with a Plug-In device that can record the travel data then sent to the cloud for analysis.
Ford's Global Data Insight and Analytics team were then able to analyze information through an interactive dashboard. Technology that could be applied in any road environment and not just in cities.
The Report also examined other solutions such as the planning of deliveries of commercial vehicles in the first part of the day, ahead of peak hours, which could lead to an improvement in the mobility of all road users or the use of travel data, and to help identify the best positions for electric vehicle charging points.