Jakarta, INTI – PT Transportasi Jakarta (Transjakarta) is taking a major step forward in modernizing its public transportation system by developing three artificial intelligence (AI)-based technologies. This initiative is part of a broader digital transformation roadmap that aims not only to optimize operational efficiency but also to enhance the overall customer experience.
This development was conveyed by Transjakarta’s Director of Information Technology Systems and Services, Raditya Maul
ana Rusdi, during the World AI Show in Jakarta on Wednesday July 9, 2025. He explained that adopting AI is a long-term strategy to strengthen service quality and sustainably increase passenger numbers.
Three Pillars of AI Technology: From Chatbots to Big Data
The three main AI technologies currently being developed by Transjakarta include:
- Generative AI-powered AI Agent, which can interact naturally with customers via chatbot and text-to-speech. More than just answering queries, this system is designed as an agentic AI, a technology that understands context, makes decisions, and proactively provides information such as bus routes, arrival times, and lost-and-found updates.
- Computer Vision for operational machine vision, which utilizes real-time CCTV data streams to detect passenger volume at bus stops, monitor fleet movement, and support data-driven operational efficiency.
- Recommendation Engine, a system designed to analyze big data from passenger travel patterns and service usage, offering strategic insights for new route proposals, fleet frequency adjustments, and potential data-driven partnerships.
AI for Safety and Operational Efficiency
AI adoption also extends to safety measures. Transjakarta has begun implementing a Driver Monitoring System (DMS) that detects driver behavior in real-time to ensure a high standard of operational safety.
Meanwhile, data-driven technology is also applied to develop automated fleet scheduling. By analyzing customer mobility patterns, AI helps allocate buses more accurately based on real-time field needs. These schedules are then sent directly to the on-board unit (OBU) of each bus, creating a seamless connection between the command center and field operations.
“With AI, our decisions are no longer based on instinct alone but on predictive and accurate data,” said Raditya, who is also known as Rama.
TJ:Transjakarta App and a New Work Culture
A tangible example of AI implementation is the TJ:Transjakarta mobile app, launched in September 2024, which has now been downloaded over one million times on Android and iOS. Through this app, customers can access real-time information such as estimated bus arrivals, fleet tracking, and travel planning features.
Beyond technology, Transjakarta is also building a new internal culture that positions data and AI at the heart of decision-making. “We believe AI adoption is not just about the systems but also about human readiness. Our staff is being encouraged to understand and utilize technology to create better public services,” Rama emphasized.
Towards Sustainable Public Transportation
With an average of 1.4 million daily passengers, Transjakarta is optimistic that AI will become a key driver of future ridership growth. Efficient route and fleet allocation will not only improve service quality but also enhance the responsible use of public funding, reducing the subsidy burden on the Jakarta Provincial Government, Transjakarta’s primary shareholder.
“AI opens a new chapter in sustainable public transportation management. With consistent innovation and data-driven leadership, we believe Transjakarta can become a model for digital transformation in the public sector not only in Indonesia but across the region,” Rama concluded optimistically.
Conclusion:
Transjakarta is progressively adopting artificial intelligence (AI) technologies to transform public transportation services into a more efficient, secure, and customer-oriented system. Through the development of three core technologies AI Agent, Computer Vision, and Recommendation Engine Transjakarta is not only enhancing operational quality but also strengthening the customer experience through data-driven approaches. The implementation of the TJ:Transjakarta mobile app and automated scheduling systems serves as concrete proof that technology can be the foundation for sustainable transformation in the public sector. With a long-term vision and a strong commitment to innovation, Transjakarta aims to become a pioneer of public transport digitalization in Indonesia and across the region.
Read More:The Rise of AI in Streaming Platforms