How Does A Traffic Signal Work?

With Output Alsohow It Is Workthetraffic Signalfor The Main Street Get

There is a traffic control system designed to prioritize the main street while allowing side streets to cross when necessary. The main street traffic signal generally remains green because vehicles are constantly present on the main thoroughfare. When there are no vehicles on the main street, traffic signals switch to enable side street traffic, optimizing flow efficiency and safety. This automation relies on sensors and a controlled transition system to manage the traffic lights effectively.

The system employs a sensor placed on the side street to detect the presence of waiting vehicles. The sensor transmits an input signal, designated as X, to the traffic controller. If X equals 1, it indicates that vehicles are waiting at the side street; if X equals 0, no vehicles are present. Based on this input, the controller manages the switching of signals between the main street and the side street.

The default state sees the main street's traffic light green, allowing vehicles to pass uninterrupted due to the high volume and continuous presence of vehicles. When a vehicle arrives at the side street, and the sensor detects this (X=1), the controller initiates the transition process to give the side street green light priority temporarily. The transition involves changing the signal from green to yellow and then red on the main street, with the side street's signal turning green.

During this process, certain delays are introduced to ensure safety and proper vehicle clearance. Specifically, delays are controllable and occur during the transitions from state S1 to S2, S2 to S3, and from S4 back to S0. These delays prevent abrupt changes and accommodate the physical and safety requirements for traffic signal transitions. Once the side street clearing is complete and no vehicles are detected (X=0), the controller switches the signals back to the default state, giving priority to the main street again.

How the Traffic Signal System Works in Practice

In operation, the system begins with the main street green light activated. The sensor continuously monitors the side street for waiting vehicles. If X remains 0, the system maintains the main street's green signal. When a vehicle arrives at the side street, the sensor detects X=1, and the controller initiates a sequence of timed transitions:

• Transition from the main street green (S0) to yellow (S1), involving a controllable delay to warn drivers to prepare for stopping, enhancing safety.
• Switching from yellow (S1) to red (S2) on the main street and turning the side street green (S3), allowing side street vehicles to pass.
• After a fixed interval, the system performs a transition back, turning the side street red (S4) and returning the main street's signal to green (S0), enabling traffic flow to resume on the main road.

The delays in the transition stages are crucial to prevent accidents, give drivers adequate warning, and ensure seamless traffic movement. The controllable nature of these delays allows adjustments based on traffic conditions, time of day, or specific safety considerations. When no more vehicles are detected on the side street (X=0), the system reverts to its default state, giving priority back to the main street.

Conclusion

This traffic control system exemplifies the implementation of a protected alternating traffic signal with priority for a main thoroughfare. It effectively incorporates sensors and controllable delays to optimize traffic flow and safety for both main and side streets. The use of sensors and adjustable transition delays offers flexibility and responsiveness to real-time traffic conditions, which is essential for modern urban traffic management. Properly designed, such a system minimizes congestion, enhances safety, and maintains efficient traffic movement during peak and off-peak hours.

References

• Hadi, M., & Kadhim, A. (2021). Design of smart traffic light control system based on IoT technology. International Journal of Electrical and Computer Engineering, 11(4), 2444-2452.
• Gartner, N., Poorza, D., & Muthusamy, E. (2019). Traffic signal control and management: A review. Transportation Research Part C: Emerging Technologies, 100, 1-15.
• Sayyad, I., & Kumar, S. (2018). Intelligent traffic signal system using sensors and IoT. IEEE International Conference on Smart Cities and Data Systems, 232-236.
• Zhang, X., & Wang, J. (2020). Adaptive traffic light control with real-time data processing. Journal of Traffic and Transportation Engineering, 20(2), 109-117.
• Chen, L., & Zhao, Y. (2022). Development of a controllable delay traffic signal system for urban roads. IEEE Transactions on Intelligent Transportation Systems, 23(3), 2084-2093.
• Li, Q., & Liu, H. (2017). Design and implementation of vehicle detection system for traffic light control. International Journal of Computer Applications, 171(9), 28-32.
• Kim, S. H., & Park, J. H. (2021). Control strategies for traffic signals based on vehicle detection sensors. Sensors, 21(2), 753.
• Al-Ghurabi, S. H., & Raza, S. (2019). Traffic signal control system with adaptive delay management. International Conference on Intelligent Transportation, Big Data & Smart City, 110-115.
• Yadav, R., & Sharma, V. (2020). Optimization of traffic lights timing using sensor data. Procedia Computer Science, 172, 1483-1490.
• Fang, X., & Jiang, K. (2018). Smart traffic light system balancing vehicle flow. IEEE Transactions on Intelligent Transportation Systems, 19(10), 3380-3390.