Project at a Glance
How do you solve traffic congestion on a corridor that has reached physical capacity without widening the road? In Manjung, Perak, our smart traffic management system, AdvanCTi Traffic, reduced journey times by 15-25% on a heavily congested corridor. By replacing static timers with AI-driven CCTV vision, AdvanCTi Traffic recalculates a Dynamic Greenwave every cycle. Using established traffic engineering principles like the Webster formula and Maxband optimization, it clears residual queues in real-time and prevents the intersection deadlocks caused by excessive 180-second cycle times.
The Challenge: When Standard Traffic Timers Fail
For municipal councils and JKR engineers, adopting smart city infrastructure requires proven reliability. You cannot afford to make your city a testing ground for experimental technology.
Our recent deployment in Manjung addressed a common but critical issue: severe junction-to-junction bottlenecks. Vehicles were frequently trapped at consecutive traffic lights because the intersections were not communicating.
Local consultants had already attempted multiple manual timing adjustments. The prevailing conclusion was that the physical capacity of the road was “maxed out,” and the traffic condition was impossible to improve without costly civil engineering and road widening.
Expert Insight: Why Increasing Cycle Time to 180s Causes Deadlocks
When intersections fail, the traditional reflex is to increase the cycle time. However, field data and human behavioral psychology prove this is counterproductive.
Pushing a cycle time beyond 180 seconds does not clear the backlog. Instead, wait times exceeding three minutes lead to severe driver impatience. Drivers begin forcing their way into the intersection on yellow or red, resulting in intersection blocking and gridlock (deadlock). The solution isn’t longer green lights; it is highly synchronized, intelligent green lights.
The Solution: Engineering-Backed AI Vision with AdvanCTi Traffic
AdvanCTi Traffic Dashboard
Many vendors offer “smart CCTV” for traffic counting, but high-definition cameras are ineffective without sound traffic engineering processing the data. AdvanCTi Traffic in Manjung integrated real-time AI vision with proven, mathematically sound traffic engineering.
Here is how AdvanCTi Traffic safely optimizes traffic flow:
- Real-Time Granular Data: Our edge-computing CCTV units continuously capture live metrics—including precise vehicle counts, directional flow, waiting times, queue residuals, and vehicle classification.
- Dynamic Greenwave Synchronization: Instead of relying on historical averages or time-of-day (TOD) plans, the AdvanCTi Traffic advanced algorithm recalculates the Greenwave on every single cycle. It anticipates the arriving platoon of vehicles and adjusts the downstream lights accordingly.
- Rooted in Established Science: Our artificial intelligence is constrained and guided by established frameworks, specifically the Webster formula and Maxband optimization. This ensures that the AI’s decisions are fundamentally safe, predictable, and aligned with JKR standards.
The Results: Proven, Measurable Impact in Manjung
The AdvanCTi Traffic installation successfully transformed a gridlocked corridor into a flowing arterial road, proving that software and intelligent synchronization can solve hardware (road capacity) limitations. The measurable outcomes include:
- 15% to 25% Reduction in Journey Time: Commute times across the entire synchronized corridor dropped significantly.
- Elimination of Intersection Deadlocks: By dynamically clearing residual queues, we prevented the spillback that causes gridlock.
- Zero Infrastructure Expansion: We unlocked up to 25% more road capacity without moving a single curb or widening the physical road, saving massive civil engineering costs.
Ready to Upgrade Your Traffic Infrastructure?
Your municipal council does not need to take risks on unproven tech. Implement AdvanCTi Traffic, a system backed by real-time data, established engineering formulas, and proven operational success in Manjung.