Mega cities of the Middle East are offering incentives, building charging stations and even relying on apps to encourage the adoption of electric vehicles among motorists, while authorities introduce electric buses as well as cabs for the daily commute. Devices which power up e-cars within minutes, along with trucks that carry around chargers are also being deployed in the UAE, while Dubai has even tested a bus which draws power from the road on the move.
Smart mobility goals have even led to trials for autonomous shuttles in Abu Dhabi and use of AI to map out bus routes, which can ensure swift public transport for residents. Now machine learning in the urban infrastructure, will soon be used for boosting cab fleets in Dubai, by intelligent scheduling of charging and dispatch.
With an eye on achieving sustainable growth of EVs in the public service infrastructure, along with returns from their deployment, Dubai Taxi has roped in BlueWave-ai. The company will be deploying systems in the Emirati tech oasis, to determine when a vehicle needs to be charged, according to the scope of generating revenue.
The solution will use years of data to predict the requirement, so that the fleet is only diverted towards regions where they are most likely to find passengers. This will increase capacity, while avoiding waste of time as well as resources.
With an AI orchestrator, the entire process aimed at ramping up efficiency will be managed in real-time, and residents will be able to find rides quickly. It’ll also enable Dubai Taxi to significantly increase the number of electric vehicles in its fleet of 5000 cabs.
This is also in line with innovation like the use of predictive tech by the city’s Road Transport Authority, to determine demand for taxis at the Expo 2020 site.
At the same time, residents as well as visitors in the UAE will now be able to track buses, their routes and timings using Google Maps.