With the rapid expansion of cities around the world, the use of advanced ICT, machine learning, IOT (Internet of Things) and big data becomes critical to solve the complex problems which the city faces. According to the Smart City Index, one of the best parameters to determine if a city is a smart city is to check the transport and mobility parameter.
It is estimated that annually India loses a $21 billion USD because of fuel wastage due to traffic jams and improper roads. Also, several people choose to commute by private transport of crowded or unavailable public transport facilities. A centralized server based on real-time data streams can decide how to source the public transport system efficiently. Things such as traffic lights can be modulated as per the live traffic input from the server. These minor parameters can go a long way to making the concept of Mobility as a service (MAAS) a reality.
With ICT improving by leaps and bounds, every phone can connect to a server with its current location. If the target destination is also entered, the server can give recommendations of the public transport to be used and the time. It can even intimate the bus or train in question to wait for the passenger to board. MAAS can ensure that all citizens are catered to by public transport on an on-demand basis.
Smart transport and digitalized mobility services are the key to reducing pollution levels, minimizing the number of vehicles on the road and improving the overall wellness of a city. The city must be planned in such a way that smart transport can be made available from residential areas to commercial and office areas.