Vehicle tracking & emission analyzing system 

Background

The rapid growth in traffic volume in metropolitan areas has created an enormous pressure on transportation infrastructures and adversely affected logistics businesses. They face many challenges such as recurrent delays, late arrivals, and a spike in exhaust emission. 

In addition, traffic congestion also causes soaring fuel costs and diminished operational efficiency. 

These two challenges, first, put logistics companies at the risk of being penalized for violating emission regulations in their countries.  Second, their financial burden is also inflated due to inefficient operations. 

To address them, our client, a logistics company operating in Japan and Denmark, leveraged IoT and Blockchain technologies to develop a smart management system that that can cater to their logistics, administrative, and environmental needs.

Solution 

In this project, GEM built the back-end system to store data from the IoT-based sensors. To ensure it meets the client’s abovementioned requirements, our team made sure the system was cloud-based and accessible via both desktop and mobile devices.  

To ensure robust performance and scalability, the system was designed with advanced data analytics capabilities, allowing for the processing and analysis of vast amounts of sensor data to optimize logistics operations. Furthermore, GEM’s team used machine learning algorithms to enhance. Machine learning enabled predictive maintenance and anomaly detection, thereby preventing potential issues and ensuring uninterrupted service delivery.  

Tech stack 

• PHP for responsive web app development and backend admin service 

• Source management using Bitbucket 

• Cloud technology with Amazon AWS 

• IoT Hub with MQTT Broker and Kafka 

• Batch Data Processing with Apache Spark 

• Database with MongoDB, PostgreSQL 

• Blockchain Database with Amazon Quantum Ledger Database and/or BigChainDB 

Output 

With GEM’s assistance, the client successfully created a vehicle management platform that: 

• Analyzed and visualized data from IoT sensors to present to operators 

• Collected and presented CO2 emission data to ensure transparency and compliance with emission regulations  

Impacts 

The system has renovated vehicle management and operations for our client and helped them address emission-related concerns. 

• Vehicle operation information is closely monitored thanks to IoT and Blockchain technologies, which enabled effective management practices such as optimization of route and regulating shipments. As a result, the company enjoyed greater efficiency in their operations while reducing costly wastage.  

• CO2 emissions are recorded to create a detailed and responsible report to authorities. This information also serves the client’s plan to reduce their carbon footprints in the future.  

The system was launched successfully to realize the clients’ goals. The company later moved to the next phases of scaling up the system to ensure its functionality and values in the long run.