List of IT events in Q2'24

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    FLEET MANAGEMENT SYSTEM

    Bus Fleet Management Software: 95% Accuracy in Real-Time Bus Fleet Tracking

    The team created an interactive dashboard for a bus fleet management software, improving the accuracy of bus timetables and passenger counts.

    #IoT

    #Logistics

    #DataManagement

    Client*

    A leading bus operator distinguished for its extensive array of transportation services, particularly in Europe.

    *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

    Project in numbers

    duration

    14 months

    team

    5 specialists

    The team involved in the project

    industry

    Logistics

    solution

    GPS tracking software

    technologies

    Python, Flask, Pandas, Azure SQL, Microsoft Azure, Power BI, Apache, Nginx, Prometheus, Grafana

    1 x Full-stack developer

    1 x BI developer

    1 x Data analyst

    1 x Project manager

    1 x QA engineer

    Challenge

    Improve the overall performance and user experience of the bus fleet management software

    Objectives

    Implement tracking of bus movement and resource allocation

    Update the dashboard to achieve data accuracy

    Make the user interface more intuitive

    Solution & functionality

    The team developed an advanced interactive dashboard system for the bus fleet GPS tracking with a user-friendly interface and focus on precise real-time data tracking.

    Interactive dashboard with GPS tracking and alerts

    Our team created a dynamic dashboard using data from IoT sensors, integrated with an Azure SQL database. Due to their ability to process and manage large datasets, the dashboard allows real-time tracking of buses and sending timely updates on bus positions, arrival times, any delays or schedule deviations, as well as passenger numbers.

    Enhanced data accuracy

    The system is designed to handle and analyze complex datasets, making predictions and assessments. The predictive algorithms evaluate past and current traffic data to recommend optimal routes and assess trends in passenger numbers. Through analysis of traffic patterns, weather conditions, and previous delays, the system foresees potential disruptions for planning. Altogether, these features help refine the transport schedules and bus frequencies, helping to reduce expenses and nurturing clients’ loyalty.

    Viewer and administrator roles

    The dashboard holds distinct user roles to accommodate diverse levels of engagement and operational requirements.

    Viewer role

    With the viewer role, users can access an interactive map with current bus positions, route status, and estimated arrival times in real-time, and a flexible analytics dashboard giving predictions about possible disruptions, allowing for route and scheduling adjustments and sharing reports.

    Administrator role

    Users with the administrator role have full control and supervision over the dashboard’s configurations and processes with data. They can customize the dashboard’s interface and features to evolving requirements and manage user access levels.

    Results and business value

    The new interactive dashboard for the bus fleet management software contributed to a more efficient, timely, and reliable transport service.

    2X

    faster data analysis

    30%

    reduction in operational delays

    95%

    accuracy in arrival and departure time tracking

    Benefits for client

    With implementation of a dashboard system and a user-friendly interface the bus arrival and departure times reached near-perfect accuracy, reducing wait times for passengers. Better operational performance and customer satisfaction was the ultimate goal of the client.

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