South Korea Intelligent Traffic Management System Market Overview,2030

South Korea’s intelligent traffic management system market represents one of the most mature and technologically advanced ecosystems in the world, driven by the country’s emphasis on digital transformation, 5G infrastructure, and automation in mobility. The foundation was laid through the Ministry of Land, Infrastructure and Transport (MOLIT), which implemented the Korea National Transport Information Center (KOTI) and the National ITS Master Plan as part of its smart mobility roadmap in the early 2000s. Conventional traffic systems that relied on manual signaling and static control have evolved into interconnected networks capable of predictive and autonomous decision-making. In Seoul, the TOPIS (Transport Operation and Information Service) platform integrates real-time data from 25,000 CCTV cameras, inductive loop detectors, and GPS-based public transport trackers to manage congestion and coordinate signals dynamically. Busan’s Smart Traffic Management Platform, developed under the U-City Project, uses radar and LiDAR sensors to optimize vehicle flow and monitor incidents automatically. AI-driven analytics, supported by machine learning algorithms from the Korea Institute of Civil Engineering and Building Technology (KICT), predict traffic density and reroute vehicles during peak hours. The implementation of 5G-enabled Vehicle-to-Everything (V2X) technology in Pangyo’s Smart Mobility Cluster facilitates ultra-low-latency communication between vehicles and infrastructure, enabling safer lane changes and adaptive traffic lights. Cloud and edge computing architecture, deployed through KT Corporation’s smart city network, enhances real-time data processing across metropolitan control centers. The Sejong Smart City Initiative integrates GIS-based mapping, IoT sensors, and cybersecurity frameworks to create a digital twin of urban mobility infrastructure. South Korea’s intelligent traffic management system is now embedded within its national smart city vision, aligning efficiency, safety, and sustainability with innovation in autonomous mobility, robotics-assisted traffic operations, and green transport infrastructure supported by nationwide fiber-optic and 5G communication backbones.

According to the research report, ""South Korea Intelligence Traffic Management Market Overview, 2030,"" published by Bonafide Research, the South Korea Intelligence Traffic Management market is expected to reach a market size of more than USD 470 Million by 2030. The competitive landscape is defined by major technology providers including LG CNS, Hyundai AutoEver, SK Telecom, KT Corporation, Samsung SDS, and ETRI, which collaborate closely with public agencies to enhance ITS infrastructure. LG CNS’s Smart Mobility Control Platform operates in Seoul and Daejeon, integrating digital twins and AI-based predictive modeling to manage urban transport systems in real time. Hyundai AutoEver, the mobility technology arm of Hyundai Motor Group, is leading connected vehicle innovation by integrating V2X capabilities into the K-City Autonomous Vehicle Testbed in Hwaseong. SK Telecom’s 5G Smart Road Project on the Seoul-Busan Expressway uses edge AI cameras and IoT sensors for automated lane control and accident detection. Busan’s partnership with KT Corporation and the Korea Expressway Corporation (KEC) has resulted in AI-managed expressways equipped with cloud-linked data centers for traffic analytics and predictive maintenance. Samsung SDS is working with the Incheon Free Economic Zone Authority to implement blockchain-based vehicle data exchange systems for secure mobility data management. Seoul’s Digital Traffic Twin Initiative, supported by ETRI and Seoul Metropolitan Government, uses simulation-based traffic planning to test policy impacts before real-world implementation. Integration of smart parking and tolling systems, like the Hi-Pass Electronic Toll Collection, continues to streamline urban and intercity mobility. Data sharing platforms connect national agencies through the Korea Transport Data Hub, enabling unified analytics across regions. Academic research from KAIST and POSTECH supports algorithmic development for congestion prediction and multimodal optimization. With funding from the Asian Development Bank and strategic PPP models, South Korea is setting new global benchmarks in AI-driven, sustainable, and hyper-connected traffic management blending innovation, automation, and real-time intelligence into its transport infrastructure.

In South Korea, intelligent traffic management solutions are broadly rolled out across urban and highway networks traffic signal control systems are part of the national ITS effort, as seen in the city of Seoul where the TOPIS (Transport Operation & Information Service) centre monitors and controls more than 3,600 signalised intersections and processes data from over 1,181 detectors and 832 cameras city-wide. Adaptive traffic control systems are promoted under the national ITS programme of the Intelligent Transport Society of Korea (ITS Korea), which outlines dynamic signal-timing and vehicle-flow responsive logic across major corridors, deploying AI and sensor‐fusion technologies. Traffic monitoring and detection systems are implemented on expressways and arterial routes, for instance South Korean technology firms supply video analytics, radar and loop detector arrays on major expressway links facilitating real-time monitoring of traffic volumes, speeds and incident detection. Enforcement camera and ANPR systems are integrated into urban ITS cities such as Seoul use advanced video detection and automatic number-plate recognition to monitor bus-lane violations, illegal parking and restricted-access zones, linking enforcement to traffic-management centres. Integrated corridor and incident management platforms are evident in initiatives such as the “smart intersection system” in Seoul’s Gangnam area which uses LiDAR, AI-CCTV and variable message signage to manage corridor flows and alert drivers to incident diversions. Dynamic message and driver information systems (DMS) are deployed nationwide on expressways the Korea Expressway Corporation provides variable message signs that display real-time traffic, accident and weather alerts, and in cities the TOPIS platform feeds notifications to mobile apps, in-vehicle navigation and roadside LED signs to guide motorists. These solution types reflect how South Korea’s traffic authorities and technology ecosystem apply signal control, adaptive management, monitoring/detection, enforcement, integrated corridor management and live driver information systems in combination to optimise mobility, improve safety and manage congestion.

In South Korea, intelligent traffic management is applied across various use-environments tailored to the country’s infrastructure On urban intersections and arterials, the city of Seoul utilises its TOPIS platform linking thousands of signalised junctions, cameras and sensors to optimise flow, manage bus priority and integrate pedestrian and cyclist movements, the “Smart Intersection System” project in Seoul is an instance where LiDAR-CCTV combination addresses complex flows in dense urban zones. On freeways and expressways, systems such as the urban expressway segments in Seoul’s FTMS (Freeway Traffic Management System) collect and channel realtime data via loops, cameras and electronic signage across major corridors like the Gyeongbu Expressway and Olympic Expressway, enabling speed management, incident detection and diversion control. Tunnels and bridges while less widely publicised are included in South Korea’s ITS frameworks enclosed environments on expressways are equipped with vehicle detection, signage and incident-response logic to ensure safety and manage constrained link volumes. The national ITS brochure notes integration of sensors, CCTV and variable signage in such constrained structures. Parking and intermodal hubs form a further environment cities such as Anyang have developed smart-city hubs where the integrated operating- and-control-centre gathers traffic, bus, parking and modal interchange data this scheme includes parking-availability sensors, ANPR access control and guidance signage. Hence, South Korea’s ITS deployments span dense city junctions and arterials, high-speed expressways and constrained tunnels/bridges, and parking/intermodal hubs each domain demanding tailored sensor arrays, control logic and data flows adapted to its operational requirements and physical constraints.

In South Korea’s intelligent traffic-management market, the three core components hardware, software and services are clearly evident Hardware includes field-deployed devices such as loop detectors, radar sensors, vehicle detection cameras, ANPR units, variable message signs and signal-controller cabinets, for instance the Seoul FTMS project features over 1,041 vehicle detection systems, 144 CCTVs and 260 roadside electronic signs deployed across its urban expressways. Software refers to the analytics, platform and control systems that process data and drive decision-making the TOPIS centre in Seoul consolidates data from video, loop and GPS sources and uses traffic-prediction engines, signal-timing optimisation logic and real-time dashboards to manage traffic states and inform travellers. Services encompass system integration, installation, calibration, maintenance, operator training and ongoing operations support South Korean government reports on ITS rollout highlight that municipalities and expressway operators contract integrators to configure sensor networks, maintain detection units, upgrade signal controllers and provide staff training. These components create the value-chain hardware captures traffic data and execute control, software analyzes and orchestrates responses, and services ensure full system deployment, reliability and continuous improvement. In South Korea, this architecture supports both city-scale traffic management and expressway-level control, enabling jurisdictions to procure integrated ITS solutions rather than disparate technologies.

In South Korea, deployment models for intelligent traffic-management systems range from on-premise, cloud/edge-hosted and hybrid architectures On-premise models are typical for major traffic-operations centres such as Seoul’s TOPIS, where servers, signal-control logic and sensor-data aggregation are housed within municipal data-centres to achieve low latency and maintain data sovereignty in a dense urban environment. Cloud and edge-hosted architectures are increasingly used for instance smart intersection pilots in Seoul deploy edge devices (controllers, AI-CCTV, LiDAR) to make immediate decisions on the junction level, while aggregated data and machine-learning analytics are hosted in cloud environments enabling cross-corridor coordination and long-term modelling. Edge computing is crucial in areas where latency or connectivity constraints exist local roadside cabinets process detector and camera data and send summary outcomes upstream to central servers for strategic analytics. Hybrid models are widely adopted real-time signal and junction control remains local (on-premise or edge) to ensure responsiveness, while broader analytics, data-fusion and corridor coordination are handled in cloud infrastructure. South Korea’s ITS policy documents emphasise this layered deployment to balance responsiveness, scalability and data governance. Deployment model decisions in South Korea are shaped by connectivity infrastructure, regulatory frameworks for data protection, urban vs regional conditions and cost-management of IT infrastructure. The traffic authorities and expressway operators adopt flexible combinations of on-site, edge and cloud hosting to deliver intelligent traffic-management capabilities across varying contexts.

In South Korea, funding and procurement for intelligent traffic-management systems come from infrastructure enterprises & public-private partnerships (PPPs), national and regional governments, and commercial/industrial enterprises Infrastructure and concession-based highway operators such as the Korea Expressway Corporation implement ITS systems including detection sensors, dynamic signage and incident-management platforms on expressway concessions under PPP-style arrangements. National and regional governments, including the Ministry of Land, Infrastructure and Transport (MOLIT) and municipal governments like the Seoul Metropolitan Government, drive ITS programmes such as the national “Intelligent Transport System (ITS)” initiative launched in the 1990s and the development of TOPIS these agencies issue tenders for signal upgrades, monitoring systems and integrated traffic-management centres. Industries and commercial enterprises such as smart-city developers, large logistics hubs and corporate campuses deploy intelligent traffic technologies for access control, parking management, ANPR entry/exit systems and dynamic signage to optimise internal circulation. For instance the city of Anyang's smart-city project included an Integrated Operation & Control Center (IOCC) which brings together traffic, parking, safety and logistics data for enterprise and municipal coordination. These categories reflect how South Korea’s intelligent traffic-management market is underpinned by public infrastructure funding, private-sector delivery mechanisms and enterprise mobility investments enabling deployment of hardware, software and services to support efficient, safe and smart road-networks.

Considered in this report
• Historic Year: 2019
• Base year: 2024
• Estimated year: 2025
• Forecast year: 2030

Aspects covered in this report
• Intelligent Traffic Management System Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation

By Solution
• Traffic Signal Control Systems
• Adaptive Traffic Control Systems
• Traffic Monitoring and Detection Systems
• Enforcement Camera and ANPR Systems
• Integrated Corridor and Incident Management Platforms
• Dynamic Message/Driver Information Systems

By End-Use Environment
• Urban Intersections and Arterials
• Freeways and Expressways
• Tunnels and Bridges
• Parking and Intermodal Hubs

By Component
• Hardware
• Software
• Services

By Deployment Model
• On-Premise
• Cloud/Edge-Hosted

By Spender Type
• Infrastructure Enterprises & PPSs
• Federal & Provincial Governments
• Industries & Commercial Enterprises Show more