Overview
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Challenges in Public Transit Operations
Public transit in South Korea carries ~9 million weekday passengers
Inefficient route operations → reduce convenience and increase social costs
Improving efficiency requires service-level evaluation and scientific analysis
Limitations of conventional systems
- Functional: only basic passenger counts, no route simulation or policy prediction
- Practical: costly infrastructure, not suitable for field use
Core Competencies
Purpose
TRIPS addresses the inefficiency of conventional transit planning by utilizing smart card big data to provide fast, scientific, and reliable support for public transit operation planning.
Smart Card–Based Analysis
Smart Card–Based Analysis
Scientific diagnosis of transit usage; full data handling with auto standardization & correction.
Efficient Planning & Simulation
Efficient Planning & Simulation
Analyzes route adjustments, provides optimization, and pre-scenario testing.
User Accessibility
User Accessibility
Secure multicast with real-time group key distribution/management.
High Accuracy & Reliability
High Accuracy & Reliability
Trip chaining for alighting estimation; forecast errors <7%, accuracy 94%.
Expected Benefits
Cost Savings
– Operational cost reduction up to KRW 2 billion, proven through route optimization in cities like Cheongju.
Faster Decision-Making
– Pre-analysis of scenarios enables quicker planning without manual surveys or complex infrastructure.
Enhanced Service Planning
– Data-driven simulations support route adjustments and demand-based prioritization.
User Accessibility
– Easy analysis on Windows PCs; general users can perform without expert support.
Public Sector Adoption
– Already applied by multiple central and local governments for efficient transit policy and planning.
TRL 9
Fully deployed and operating in actual service environments
Seoul participating in pilot projects (2016)
Ulsan city bus route restructuring (2022)
Impact analysis of bus route adjustments for Daejeon Tram operations (2022)
Full implementations in local governments such as Cheongju, Gwangju, Sejong, Wonju, Ulsan, and Daejeon.
Contact
Korea Railroad Research Institute (KRRI)
Global Business Department
Dr. Kyoungtae Kim
E-mail: ktkim@krri.re.kr
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