1. Wireless Sensor-Based Traffic Light Control Malik Tubaishat, Qi Qi, Yi Shang, Hongchi Shi

2. Problem Statement Comparison of performance of wireless sensor based networks(Single sensor and dual sensor) with fixed traffic cycle TLC. Non-Occupancy Detection(NOD) and Occupancy Detection(OD) based comparision Effect of sensor distance on Average waiting time.

3. Results Used GLD(Green Light District) for their simulation Implemented Fixed Light controller, Single Sensor based and Fixed Sensor based Some values: – Random Spawn Frequency : 0.1-0.35 – Cycle length 5000 averaged over 5 cycles.

4. (a) urban-like map and (b) downtown-like map

5. One Sensor- Urban Network

6. One Sensor- Downtown Network

7. Key take-aways Two Sensor Model outperforms one Sensor Model Two sensor model performance is close to best first which knows the exact number of waiting vehicles. OD model, the closer the sensor to the junction the better the performance is.

10. Sensor Placement in Real-Time Sensor Based Traffic Light Control Infrastructure Based Controllers Performance based Measurements Control Decision through Sensor data

11. Outline Agent based Controllers – Learn the expected waiting times of vehicles and set the traffic lights accordingly Infrastructure Based Controllers – Change the traffic flow based on the current flow of Traffic – They basically know the queue length and act on this information

12. List of Controllers: Random: Switched Traffic at Random Most Cars: Move lanes regardless of the queue length Best First: Give priority to lanes with maximum length Longest Queue: Selects only the lane with maximum length Relative Longest Queue: No. off road users is divided on the basis length of the lane to get relative rewards for traffic light settings

13. Control Decision Through Sensor Data One Sensor Based Controller: NOD-Non-Occupancy Based Detection OD-Occupancy Based Detection

14. Two Sensor-based Controller

15. The Gain Value is the queue length for infrastructure-based TLC. In every cycle the TLC adds the gain value for the possible sign configurations and selects the sign configuration with the maximum gain value

16. Future Work Focus work more towards increasing the life time of sensors Study performance in realtime with smaller intervals.

17. Reference Wireless Sensor-Based Traffic Light Control, Malik Tubaishat, Qi Qi, Yi Shang, Hongchi Shi, Consumer Communications and Networking Conference, 2008. CCNC 2008. 5th IEEE

18. Thank You -Questions...