As Taiwan’s ports expanded, the Taiwan International Ports Corporation (TIPC) faced a growing challenge: managing truck congestion that slowed operations and frustrated drivers. To address this, TIPC launched the TIPC 168 App, aiming to improve traffic flow using real-time data and predictive analytics.
Gorilla Technology powered the app with AI-driven video analytics and forecasting tools. By integrating live traffic feeds, GIS data, and predictive modeling, the solution gave truckers real-time visibility and helped port authorities plan more effectively, which cut congestion and wait times dramatically.
Case Studies
The Challenge
01
Congestion at Growing Ports
With increasing freight volumes, truck bottlenecks at port entrances became a daily issue. Long queues delayed operations, reduced efficiency, and created frustration for drivers and logistics teams alike.
02
Need for Real-Time and Predictive Insights
TIPC needed a solution that could not only show current traffic conditions but also forecast future congestion to enable smarter scheduling and better resource allocation.
Case Studies
Our Solution
AI Video Analytics for Traffic Monitoring
Gorilla deployed vehicle analytics to count and monitor freight trucks in real time. This data was used to assess congestion levels and provide live traffic updates to both port operators and truckers.
Data Integration via the TIPC 168 App
The app displayed GIS-based traffic maps and live video feeds, giving truckers a clear view of port conditions before arrival. This helped them plan routes and avoid peak congestion times.
Predictive Analytics for Smarter Planning
Using historical traffic data, Gorilla’s predictive engine forecasted truck arrival patterns and congestion trends. This allowed TIPC to optimize scheduling and reduce traffic surges.
Case Studies
Results & Impact
Reduced Congestion and Wait Times
Truck congestion was cut in half after the introduction of real-time video features. Drivers reported significantly shorter wait times and smoother port entry experiences.
High User Satisfaction
Most truckers cited the real-time video feature as the most valuable part of the app. The combination of live updates and predictive insights helped them save time and reduce stress.
Case Studies
Key Takeaways
Real-time vehicle analytics provided live traffic visibility at ports.
GIS and app integration gave truckers actionable traffic insights.
Predictive analytics enabled smarter scheduling and reduced congestion.
Truck congestion was cut by 50% after real-time video was introduced.
High satisfaction among truckers due to time savings and improved flow.