Introduction | GEOAI Solutions Smart Mobility

This project seeks to address current gaps in traffic monitoring and complement the existing Traffic Data Analytics System (TDAS) by delivering real-time, precise information on road conditions. Unlike many existing solutions, our platform focuses specifically on minor roads, which often receive limited coverage. By broadening the scope of monitoring and providing accurate, actionable data, the system aims to enhance urban traffic management, bolster road safety, and improve overall mobility within Hong Kong.

Hong Kong, recognized as one of the most densely populated cities worldwide, faces significant challenges stemming from its high population density and restricted land resources. The substantial rise in on-road vehicles, coupled with limited space for expansion, has led to persistent traffic congestion and mounting safety concerns—issues that urgently require effective solutions. Research continues to emphasize the importance of comprehensive, dynamic urban traffic information to boost transportation efficiency, reduce road accidents, and enable smarter traffic management strategies.

Although existing traffic monitoring tools—such as the HKeMobility application managed by the HKSAR Transport Department—offer valuable insights, they do have limitations. HKeMobility primarily addresses public transport disruptions and scheduled roadwork, providing real-time information through static image snapshots or short video clips. However, extracting meaningful insights from these data formats often demands additional processing. Moreover, the application concentrates on major roads and tunnels, crowdsourcing data on traffic speeds and journey times (up to 90 minutes), yet it does not fully capture conditions on minor roads. Our proposed system intends to fill these gaps by expanding coverage and delivering high-quality, real-time traffic data across Hong Kong.