TRAFFIC LIGHT CONTROL Professor Nicholas F. Maxemchuk YITIAN GU

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

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.

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.

APPROACH Baselines: 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. 1) We apply proportional fairness for each intersection. We can calculate the throughput for each intersection and share real-time information between adjacent traffic lights. 2)

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

APPROACH (CONT.) Simulation: - GLD simulator

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.

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

The End Thanks!