Intelligent Transport System (ITS)

Intelligent Transport System (ITS) refers to an advanced engineering framework that comprehensively integrates information technology, data communications, sensor technology, and control systems into transport management networks to achieve real-time interaction and coordinated optimisation among road users, vehicles, infrastructure, and the environment. ITS serves as the core enabler in transitioning transport networks from an "experience-driven" model to a "data-driven intelligent" architecture, standing as a pivotal benchmark for smart urban mobility.

Core Functions

The fundamental value of ITS lies in converting fragmented traffic data into actionable, intelligent insights. Through roadside sensory hardware such as cameras and radar units, the system gathers real-time, multi-dimensional metrics including traffic volume, vehicle speed, queue length, and road incidents; via high-speed communication networks, this data is aggregated into an urban traffic control brain or regional cloud platform, where big data and AI algorithms process it into executable directives—such as traffic light timing optimisation, live traffic updates, and dynamic lane control. This closed-loop mechanism transforms conventional transport management—once reliant on manual patrols and tiered reporting—into an automated governance system capable of second-level perception and real-time response.

Five Major Functional Modules

Based on functional focus, ITS is generally categorised into five core subsystems:

Advanced Traffic Management Systems (ATMS) oversee network-wide dispatch and traffic control, covering ramp metering, adaptive traffic light optimisation, incident management, and electronic toll collection. By evaluating domain-wide sensory data, ATMS gauges live traffic conditions to execute dynamic control strategies.

Advanced Traveller Information Systems (ATIS) disseminate real-time road conditions, construction closures, and parking bay availability to motorists via variable message signs (VMS), mobile applications, and in-car navigation systems, assisting road users in planning optimal routes and journey modes.

Advanced Vehicle Control and Safety Systems (AVCSS) focus on active vehicle safety, featuring systems such as collision warning, Autonomous Emergency Braking (AEB), and Lane Keeping Assist (LKA), progressively paving the way towards fully autonomous driving.

Advanced Public Transportation Systems (APTS) apply these technologies across public transit networks such as buses and rail transit, enabling vehicle tracking, automated scheduling, and electronic ticketing to enhance punctuality and service quality.

Commercial Vehicle Operations (CVO) cater to commercial fleets such as freight and logistics hauliers, providing telematics fleet monitoring, route and dispatch optimisation, and automated toll/billing services to improve operational efficiency and safety.

Technical Foundation: AI and Vehicle-Road-Cloud Synergy

Artificial intelligence is fundamentally reshaping the technical architecture of ITS. In 2025, seven government authorities including the Ministry of Transport jointly issued the "Implementation Opinions on 'AI + Transport'", outlining AI deployment across seven major sectors—including combined driver assistance, smart railways, and intelligent shipping—while proposing the development of a comprehensive transport foundation model (the "Traffic Brain"). Under the "Vehicle-Road-Cloud Integration" framework, intelligent transport has transcended traditional vehicle-to-infrastructure (V2X) boundaries, evolving into a sophisticated cyber-physical system linking on-vehicle sensors, roadside infrastructure, and cloud computing power. Traffic networks are transitioning from "isolated onboard autonomy" to "network-wide synergy", utilising roadside perception to cover sensor blind spots and rare corner-case scenarios, thereby delivering a multi-layered safety barrier where "roads can alert vehicles" alongside "vehicles reading the road".

Development Trends

From a global perspective, Vehicle-Road-Cloud Integration has been established as the core pathway for ITS development, with China leading globally in the C-V2X technology roadmap. Over 35,000 kilometres of designated test and pilot roads have been opened nationwide, supported by the accelerated rollout across 20 "Vehicle-Road-Cloud Integration" pilot cities. Projections indicate that by 2030, the incremental industrial output value of "Vehicle-Road-Cloud Integration" will reach RM2,582,500,000,000, representing a compound annual growth rate (CAGR) of 28.8%. Crucially, data transparency, public trust, controllable risk, defined liability, and overall safety are becoming the cornerstone requirements of the next-generation intelligent transport regulatory framework.