I&T Wish - AI-Driven Smart Traffic Management Information System 2026-04-27
AI-Driven Smart Traffic Management Information System
I&T Wish
AI-Driven Smart Traffic Management Information System (REF: W-0602)
Matched I&T Solution
Trial Project
Summary and Challenges
The current traffic management system consists of multiple functional components handling service cases, fault records, and operational data, but these functions are not fully integrated to provide a consolidated and actionable operational view. While a large volume of data is available, there is limited capability to transform it into structured analysis such as performance monitoring and ranking lists for decision-making. Handling of public service cases and operational follow-ups requires substantial manual effort in reviewing records, preparing responses, and coordinating across teams, leading to inefficiencies and variations in output quality. In parallel, contractor performance, repeated fault occurrences, and recovery trends are not systematically visualized or tracked. The system also lacks flexible tools for defining analysis contexts, such as user-defined location ranges and severe condition periods. In addition, upcoming transition to the new data source, as a new standard replacing the existing system, introduces integration and adaptation challenges. Supporting functions such as document synchronization are also not fully streamlined.
This project aims to introduce innovative enhancements by integrating AI-assisted capabilities, advanced analytics, and multi-source data integration into a unified and intelligent platform.
Expected Outcome
The project will deliver a set of integrated, intelligent, and user-oriented functionalities that directly enhance operational workflows and data utilization. AI-assisted capabilities will support service case handling by generating draft responses based on historical records, improving efficiency and consistency while maintaining user validation. Analytical dashboards will provide clear visualization of fault occurrence, recovery performance, and contractor performance, including generation of ranking lists for repeated faults, high-risk locations, and equipment performance. New tools will enable users to define location ranges and severe condition time periods, allowing targeted analysis of incidents and trends under specific operational scenarios. Integration of the new data source will enable system adaptation to the new standard, ensuring continuity of operations and accurate handling of data under the new framework. Operational processes will also be enhanced through automated synchronization of PDF attachments with centralized records, ensuring consistency, traceability, and efficient document management.
Key outcomes include:
AI-assisted generation of service response drafts
Performance dashboards with ranking lists and trend analysis
User-defined spatial and temporal analysis capabilities
Integration and adaptation to new data source
Automated document synchronization and logging
These enhancements will establish a more intelligent, data-driven, and future-ready traffic management system.
Expected Trial Duration
12-month
Contact Information
I&T Wish Proposer
:
Electrical and Mechanical Services Department (EMSD)
