AI Case Study
OLA strengthens passenger safety with real-time ride monitoring system based on machine learning
Ola, the Indian cab-hailing company, has launched its real-time ride monitoring system called Guardian. The system is being used as a pilot in Bengaluru, Mumbai and Pune and will go live in Delhi and Kolkata by the end of October and in other Indian cities by the end of 2018. On going trips are tracked through the machine learning and AI based system, which analyses ride indicators like route deviations, unexpected and mid-way stops among others, in real time. The company will be able to reach out to the passenger immediately if any abnormality is detected.
"In a bid to step up passenger safety, Indian cab-hailing major Ola has rolled out a real-time ride monitoring system, the company said on 25 September.
"Ola Guardian, the real-time monitoring system to strengthen ride safety of customers, has been launched as a pilot in Bengaluru, Mumbai and Pune," the city-based cab-aggregator said in a statement.
The system, which is based on Artificial Intelligence (AI) and machine learning tools, will go live in Delhi and Kolkata by the end of October and in other Indian cities by the end of 2018.
As part of project Guardian, all on-going trips would be tracked through AI-driven systems, analysing ride indicators like route deviations, unexpected and mid-way stops among others.
Safety triggers, which will be created based on the time of travel and other ride indicators, will be monitored by Ola's safety response team.
"Post analysing the data, the safety response team will connect with customer to assess any potential unsafe ride and provide assistance as required," the statement added.
The company said it was also working with the state governments to map unsafe routes into the monitoring platform to enhance the system's performance."
Pilot; results not yet available.
Health And Safety
"Instances of the drivers registered on ride-hailing platforms taking detours and allegedly molesting women in various Indian cities in the past have raised alarms about passenger safety."
Real-time rides data, ride indicators like route deviations, unexpected and mid-way stops among others.