All T - permit vehicles should have an SOS and tracking kit. So that traveling passengers can be assured of safety. Tracking has to be made visible to police authorities
SOS TO NEAREST POLICE
when the passenger is feeling unsafe, they can press SOS and the nearest police station will be alarmed
TRACKING LINK SHARING
Passengers can send a tracking link to their family to track
Vehicle and driver details and past history driving behavior will be shared with passenger
RTO approved certificate showing tracking activeness and driving behavior
One can get live location of his/her vehicle and
easily keep a track of route which is currently
being followed by the vehicle driver.
An SOS is a signal which indicates to other people
that you are in danger and need help quickly. When
in emergency, passengers can tap the SOS button
and an instant message is sent out to the
pre-defined emergency numbers of the passenger.
Vehicle Route Replay
Route Replay feature allows you to retrace vehicle's
route on a map screen for a chosen date and time.
Replay your drivers' fleet routes to identify safety
improvement opportunities and to determine driver
Vehicle Health Monitoring
This provides early warning maintenance signals,
enhances vehicle safety, reduces manpower and
maintenance costs, and improves the vehicle
The challenge here is to handle the concurrent
requests every 30 seconds as each vehicle sent 2
packets every minute. So we need to handle
4,00,000 requests every minute!
Managing Product Complexity
The challenge here is to come up with an auto
scaling solution to ensure the optimum use of
infrastructure without affecting performance.
High Variability in Data Sources
Data came from multiple sources and varied in its
frequency, creating the need for automated
processing of data.
AWS Lambda Function
It is an event-driven, serverless
computing platform. It is a service that
runs code in response to events and
automatically manages the computing
resources required by that code.
Apache Kafka provides a powerful streaming
platform. Kafka often gets used in the
real-time streaming data architectures to
provide real-time analytics. We used Apache
Kafka to process data and generate reports.
TCP Server allows us to send or receive
packets from AIS 140 device. It solved
the problem of handling 2,00,000
concurrent requests every 30 seconds.