1. TRAFFIC LIGHT CONTROL YITIAN GU ADITI BHAUMICK VIPUL SINGH LIYAN SUN Professor Nicholas F. Maxemchuk

2. OBJECTIVE To share information between adjacent traffic lights to achieve a situation close to a green wave. A green wave is a phenomenon where a series of traffic lights are coordinated to allow traffic flow over several intersections in one direction.

3. PROBLEM STATEMENT Previously work has been done for a single intersection of traffic lights and metrics have been calculated based on Min-Max Fairness and Proportional Fairness. We intend to shift focus from one intersection to an entire network, primarily the 10*10 Manhattan Street Network.

4. 1) One baseline will be to implement a Green wave and information will be shared between adjacent traffic lights so that the number of stops are reduced on a route. 2) We apply proportional fairness for each intersection. We can calculate the throughput for each intersection and share real-time information between adjacent traffic lights. APPROACH Baselines: Baselines:

5. Metrics Metrics -NUMBER OF STOPS -THROUGHPUT -AVERAGE DELAY APPROACH (CONT.)

6. Simulation: Simulation: APPROACH (CONT.) - GLD simulator

7. SCHEDULE Week 1: Literature review and presenting the contract. Week 2: Understanding the simulator. Week 3 - 4: Modify the model and make changes. Incorporating the metrics into the simulator. Week 5 - 6: We will work on implementing a Green Wave for the entire network.

8. SCHEDULE (CONT.) Week 7 - 8: We will use throughput as a metric and incorporate proportional fairness at each intersection. For both we will see improvements obtained by sharing information between adjacent traffic lights. Week 9: Computing the average delay for the network. Week 10: Final report

9. The End Thanks!