Biplab Das 
In a collaboration aligned with COP28 Transport Day and the UAE’s sustainability objectives, BluWave-ai and Dubai Taxi Corporation (DTC) have unveiled the outcomes of their innovative partnership. The focus of this collaboration is the introduction of an advanced AI software-driven energy optimization solution tailored for DTC’s fleet of 200 Tesla electric vehicles (EVs). As part of its ambitious electrification program, DTC aims to replace conventional fossil-fueled taxis with Teslas, establishing itself as one of the first taxi fleets globally to embrace this transformative approach.
BluWave-ai’s EV fleet orchestrator
The centrepiece of this collaboration is the BluWave-ai EV Fleet Orchestrator, an AI-driven solution designed to address the intricate challenges associated with charging electric taxis efficiently. This innovative system autonomously tackles decisions regarding when, where, and by what extent an EV taxi should charge. By ensuring optimal charging times, the solution aims to keep the EVs ready for service while avoiding missed trips during charging intervals. Operating in real-time, 24×7, the system eliminates the need for manual intervention, reacting dynamically to changes in road networks and charging infrastructure availability.
Noteworthy achievements and operational improvements
The deployment of BluWave-ai’s EV Fleet Orchestrator within DTC’s electric fleet has yielded substantial enhancements in operational efficiency:
- A 12% increase in revenue from the EV fleet.
- A 13% increase in EV paid trip distance driven.
- A remarkable 52% decrease in fossil-fueled vehicle kilometers driven to cover EVs during charging periods.
- A reduced or eliminated need for fast charging, contributing to extended EV battery life.
By embracing BluWave-ai’s cutting-edge solution, DTC emerges as the first taxi operator to leverage AI for fleet orchestration, showcasing tangible benefits in terms of cost savings. A comprehensive dashboard accompanies the solution, providing a transparent overview of savings achieved and reductions in emissions.
BluWave-ai’s advanced solution dynamics
The EV Fleet Orchestrator solution by BluWave-ai operates on a meticulously crafted city-wide taxi trip demand model, utilizing trip records spanning multiple years of taxi operations. Real-time operating data from the EV taxi fleet is seamlessly integrated using a direct over-the-air telematics connection to Tesla vehicles via the Smartcar API, a result of the strategic partnership between BluWave-ai and Smartcar. This integration ensures that real-time data on taxi telematics and state of charge is continuously fed to AI models.
Smartcar’s contribution to the partnership
Smartcar’s CEO, Sahas Katta, expressed pride in contributing Smartcar’s vehicle API technology to BluWave-ai’s EV Fleet Orchestrator. This partnership, he notes, plays a pivotal role in reducing carbon emissions from vehicle fleets. By facilitating BluWave-ai’s integration with DTC’s Tesla EV fleets, Smartcar enables AI-driven optimization, supporting a swift transition towards operational benefits.
Future implications and forward-thinking initiatives
BluWave-ai’s Founder and CEO, Devashish Paul, underscored the significance of live data integration and model training in optimizing system performance for DTC’s fleet. This collaborative effort with DTC, a forward-thinking taxi fleet operator, serves as a validation of the tangible benefits achieved in operational costs and the overall lifetime cost of ownership. As the partnership pioneers AI-driven advancements in taxi fleet operations, it sets a precedent for future initiatives seeking to balance operational efficiency with sustainability goals.
