Un-Jammed
From Chaos to Control — The Future of Traffic
Created on 18th April 2025
•
Un-Jammed
From Chaos to Control — The Future of Traffic
The problem Un-Jammed solves
Conventional traffic light systems in India operate on fixed timers, without considering real-time road conditions. As a result, vehicles are often stopped at red lights even when the crossroad is empty, while busy roads suffer extended waiting times. This not only leads to unnecessary fuel consumption and longer travel times but also increases traffic congestion and driver frustration. Additionally, these systems cannot differentiate between regular and emergency vehicles, meaning ambulances or fire trucks can get stuck in traffic, risking lives due to delays. Another major issue is the lack of coordination between successive traffic signals—vehicles often stop repeatedly at every junction, creating bottlenecks and reducing overall traffic flow efficiency.
Our solution addresses all these challenges using an intelligent traffic light system that adapts to real-time conditions. It uses sensors to detect traffic density, dynamically adjusting signal durations. Empty lanes can be skipped altogether, reducing idle time. Emergency vehicles are given priority. Signals across intersections are synchronized to enable continuous vehicle movement and minimize stoppage. This results in smoother traffic flow, quicker emergency responses, and reduced fuel consumption—making urban transportation smarter, faster, and more efficient for a growing economy like India.
Challenges we ran into
There were multiple challenges that we had to overcome during the development of our smart traffic control system. One of the main hurdles was selecting the most reliable type of sensor to detect vehicle presence accurately. We experimented with ultrasonic sensors and IR sensors and discovered that IR sensors, when positioned and calibrated properly, performed best under our lighting and distance conditions.
Another major challenge was synchronizing the dynamic traffic light behavior with real-time sensor data without causing delay or conflict in the signal cycle. Getting the interrupt logic right was particularly tricky—making sure emergency overrides work only when the target signal is red, and that the control flow returns gracefully to the correct signal sequence based on traffic density. We handled this by using hardware interrupts with software debouncing and carefully crafted signal logic to ensure a smooth transition between states.
Additionally, fine-tuning the logic for when to skip dynamic lanes due to no traffic required real-time testing and debugging in various simulated scenarios. We resolved this by implementing conditional checks and detailed serial logging during prototyping.
Overall, these challenges taught us a lot about real-world embedded system design, timing, and resource handling under constrained environments.
Technologies used