Our client is a telematics service used for truck fleet management. Technically, their solution is a mix of sophisticated software and hardware for collecting and analyzing critical information about vehicle and driver parameters in real-time, allowing customers to manage their fleet with a high degree of efficiency and at the lower cost.
The client strove to augment driver's safety and security and enhance the driving experience by digitally transforming its obsolete software into a modern platform powered by AI, able to track the large number of fleet vehicles in real-time.
Our team designed and implemented different parts of the final product, including APIs, web-interfaces and mobile apps, with the main challenge to create the system which receives the data from hundreds of thousands of monitoring devices in real-time, working 24/7.

Months

Engineers

Technologies

Tech Stack

Akka

Apache Spark

Cassandra

GlusterFS

Kafka

PostgreSQL

Scala

Next Case

Real-time Insurance Score Modeling

Making driving safer for all traffic participants.

Timeline

2 Weeks

Solution Architecture Design

Solution Architect

8 Weeks

Data Warehouse Configuration

Data Engineer

10 Weeks

Realtime Streaming Pipeline Development

Data Engineer

12 Weeks

Training & Tuning Cycle pt.1

Data Engineer

15 Weeks

Web / App Platform Development

App Developer

Backend Developer

Frontend Developer

6 Weeks

Training & Tuning Cycle pt.2

Data Engineer

4 Weeks

Integration & Testing & Deployment

Backend Developer

Data Engineer

Deep Learning Researcher

Dev Ops

Tech Challenge

Tracking a large vehicle fleet requires integration of large amounts of sensor data into a single pipeline.
Making tracked data available to compliance units within seamless interface, at a lower cost.
Data has to be processed and accessible in near real-time fashion.

Solution

All the data is stored in the scalable cluster in a fault-tolerant manner (Cassandra).
The mobile app has a real-time access to the information from each connected monitoring device.
System automatically produces reports for each fleet vehicle, via collecting data from analytical indicators built by our team.
Huge amounts of data are processed fast due to Apache Spark cluster; micro-services were built as an isolated Docker containers.
Metrics gathered in real-time are numerous and detailed (i.e. number of stops, start and end time of the journey, mileage, speed, idle time, route history, geofences, fuel consumption, engine temperature, etc.) They are used to create automatic alerts about accidents, critical situations, theft and other situations.

Impact

We have developed a sophisticated platform for collecting and analyzing critical information about vehicle and driver parameters in real-time.
The final solution allowed customers to manage their fleet with a high degree of efficiency and at a lower cost.
The platform receives the data from hundreds of thousands of monitoring devices in real-time, working 24/7.

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