“ WE CAN ALREADY IMAGINE A NOT-TOO- DISTANT FUTURE OF SELF-DRIVING CARS ”
CARLO RATTI PROFESSOR OF PRACTICE OF URBAN TECHNOLOGIES AND PLANNING AT MIT
algorithms analyse a vast amount of data , including patterns of traffic , weather conditions and reports , and provide real-time visibility to inform traffic decision-making much faster .
“ Connectivity and data are vital elements to influence the evolution of e-mobility . First of all , it helps us understand urban mobility infrastructure better ,” says Carlo Ratti , Professor of Practice of Urban Technologies and Planning at MIT . “ Furthermore , data can be leveraged to forge an overarching mobility system in which e-mobility plays a central role . In this scenario - we call it the “ Moving Web ” - a digital platform aggregates data about all mobility solutions - buses , trains and other vehicles - and broadcasts it in real time through a mobile app . Commuters can use it to identify the optimal commuting options and reserve all the trips in one go .”
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