MaaS is a rather new addition to the list of modern data-based solutions that promotes integrated mobility, through a single platform that solves all transportation challenges by shifting away from personally-owned vehicles. When fed with connected vehicle data, and analysed using AI and deep learning, MaaS enables users to plan, book and utilize mobility provided as a service.
Connected vehicles supply the intelligence required by MaaS models to establish a streamlined transit network of shared mobility vehicles as well as station sites, that eventually assist in the reduction of city congestion. On-demand mobility consumes vehicle data concerning trip parameters, traffic patterns, driver behavior and more, to allow consumers get access to safer, efficient and personalized journeys, right from planning till completion.
Battery-as-a-Service (BaaS)
Owing to the growing popularity of battery electric vehicles with rechargeable batteries and no gasoline engines, BaaS is a concept with high business potential. Essentially allowing customers to lease batteries as a separate component from cars, and swapping it for a new one every time it drains out of charge, BaaS addresses incessant EV issues including range anxiety, high upfront costs and a time-consuming charging process.
Data from connected vehicles supports with identifying the most relevant sites to set up a battery swapping station, considering real-time movement of EVs and vehicle density, automating site operations for most common battery issues, by measuring battery performance across numerous vehicles, as well as educating drivers on optimizing energy consumption through data-based efficiency assessment.