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Wireless Sensor-Based Traffic Light Control

Wireless Sensor-Based Traffic Light Control. Malik Tubaishat , Qi Qi , Yi Shang, Hongchi Shi. Problem Statement. Comparison of performance of wireless sensor based networks(Single sensor and dual sensor) with fixed traffic cycle TLC.

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Wireless Sensor-Based Traffic Light Control

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  1. Wireless Sensor-Based Traffic Light Control MalikTubaishat, QiQi, 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.

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

  9. 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

  10. 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

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

  12. Two Sensor-based Controller

  13. 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

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

  15. 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

  16. Thank You -Questions...

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