Smart Traffic Light implemented by Public Works Department Malaysia (JKR) in collaboration with Loranet Technologies PLT, aims to optimize traffic flow, reduce congestion, and improve road efficiency. Using Artificial Intelligence (AI), Internet of Things (IoT), and real-time data analytics, the system dynamically adjusts Phasing Time and Green Wave synchronization based on traffic conditions. AI-powered cameras, loop sensors, and wireless vehicle detection classify vehicles, monitor queue lengths, and analyze traffic patterns, improving Level of Service (LOS) at intersections.

Since its implementation in 2022, the project has achieved in average more than 60% journey time savings, especially during peak hours and public holidays. Compared to costly flyover constructions (RM30–50 million), Smart Traffic Light is a cost-effective solution. It also provides 90% accurate traffic data, aiding road planning.

Beyond congestion relief, the system enhances motorist safety, reduces accident risks, and improves workplace productivity. Shorter travel times mean less stress, fuel savings, and lower carbon emissions. Employees arrive at work on time, and working parents enjoy more family time. With phase three launching in 2025, Smart Traffic Light continues to drive sustainable, efficient, and safer road networks across Malaysia.

https://stl.loranet.my/

• Malaysia

• Youth
• Older persons
• Women
• The unemployed
• The poor
• Remote and rural communities
• Motorist, Government, Industry Player

Smart Traffic Light is a scalable and adaptable traffic management system that can be replicated in various urban, suburban, and rural settings. Its AI-driven approach, cost-effectiveness, and compatibility with existing traffic infrastructure make it suitable for cities experiencing congestion, developing urban centers, and remote areas requiring traffic optimization.

Smart Traffic Light has already deployed at 135 junctions across West Malaysia during Phase One and Two, with Phase Three in 2025, the project is replicable in major cities like George Town, Ipoh, Kuching, and Kota Kinabalu. Integration into existing smart city frameworks ensures smooth implementation. Congestion in medium-sized cities and suburban areas can worsen over time. Deploying the system in locations like Shah Alam, Seremban, and Alor Setar will prevent long-term bottlenecks, improving daily commutes and economic productivity.

Countries like Indonesia, Thailand, Vietnam, and the Philippines face congestion due to urbanization and rising vehicle numbers. Smart Traffic Light’s AI-driven traffic management is adaptable to metropolitan areas such as Jakarta, Bangkok, and Ho Chi Minh City. The system is also ideal for high-density cities like Mumbai, Karachi, and Dubai, where AI-enhanced traffic control can complement existing smart city projects and reduce travel delays.

Smart Traffic Light operates on a modular system, allowing deployment at single intersections, multiple junctions, or full-scale citywide integration.
Designed to work with existing traffic controllers, AI cameras, and IoT sensors, implementation is seamless without requiring extensive infrastructure overhauls.

In conclusion, Smart Traffic Light is a highly replicable, cost-effective, and sustainable solution for traffic congestion, carbon reduction, and urban mobility improvements. Its scalability allows adoption across various cities and countries, contributing to smarter, safer, and more efficient transportation systems worldwide.

1. Economic Sustainability

a) Cost-Effective Traffic Management
Smart Traffic Light eliminates the need for expensive infrastructure projects like flyovers and road expansions, providing a a more than 60% journey time improvement, particularly during peak hours and public holidays. Compared to flyovers that cost millions per project, Smart Traffic Light offers a cost-efficient alternative with significant impact.

b) Public and Private Sector Collaboration
By leveraging partnerships between government agencies and private technology firms, the project ensures continuous funding, innovation, and expansion.

2. Social Sustainability

a) Enhanced Road Safety
Accurate real-time traffic data (90% accuracy) helps reduce accident rates, particularly at high-risk intersections, leading to a safer driving experience.

b) Improved Quality of Life
By reducing congestion, motorists spend less time on the road, allowing them to be more productive at work and spend more time with family.

3. Environmental Sustainability

a) Reduced Carbon Emissions
By optimizing traffic flow, vehicles spend less idle time, reducing fuel consumption and emissions.

b) Smart Data-Driven Urban Planning
With comprehensive traffic data collection, the project helps city planners design more sustainable road networks and integrate public transport solutions, reducing reliance on private vehicles.

4. Technological Sustainability

a) Future-Proof and Scalable
Smart Traffic Light’s modular, AI-driven system allows for upgrades and integration with future smart city innovations, ensuring long-term relevance.

b) Internet Connectivity Expansion
The system boosts internet infrastructure in remote areas, as government agencies work with telecommunication providers to extend connectivity and IoT integration for more widespread smart infrastructure adoption.

The project improves road efficiency, enhances safety, reduces environmental impact, and promotes digital transformation, aligning with WSIS Action Lines: i. WSIS Action Line C2 – Enhancing ICT Infrastructure Integrating AI cameras, sensors, and cloud-based data processing, the project strengthens digital infrastructure and internet connectivity. It leverages 5G and IoT networks to improve traffic management, boosting Malaysia’s smart city development. ii. WSIS Action Line C7 – E-environment Traffic congestion contributes to carbon emissions and fuel waste. Smart Traffic Light has achieved over 60% journey time savings, reducing pollution and supporting Malaysia’s goal to cut emissions by 45% by 2030. iii. WSIS Action Line C7 – E-health & E-employment Traffic congestion increases accidents and stress. Smart Traffic Light reduces collisions, enhances emergency response, and promotes better mental health through shorter commutes. iv. WSIS Action Line C6 – Enabling Environment Smart Traffic Light minimizes delays, improving workforce efficiency and economic productivity. Reduced travel time allows employees to be more focused at work. v. WSIS Action Line C4 – Capacity Building Working mothers benefit from shorter commutes, improving work-life balance. With women comprising 55.5% of Malaysia’s workforce, the project supports gender equality by reducing commuting stress and increasing career opportunities. vi. WSIS Action Line C1 – Digital Transformation By integrating AI, IoT, and big data, the project accelerates Malaysia’s digital transformation and smart city initiatives, setting a benchmark for future ICT-driven developments. vii. WSIS Action Line C7 – E-business & Public-Private Partnerships A successful government-private sector collaboration, Smart Traffic Light fosters innovation and investment in smart transport technology. The partnership with Loranet Technologies PLT ensures sustainable advancements.