Smart Traffic Control System

Simulation and Optimization project developed using Smart IDE

1. Smart Traffic Light Control System Under Guidance of: Dr. Xiaolong Wu By: Atul Gupta(014882528) Abhijit Jagtap(014880994) California State University Long Beach, Departmenet of Computer Science and Engineering Long Beach, California

2. Contents What are traffic Signals ? Problems of conventional traffic light Controller Objective Simulation tools System Design Snapshots Traffic Density Scenarios Static Optimization Dynamic Future Scope

3. What are Traffic Signals? Traffic Signals, also known as traffic lights, traffic lamps, signal lights are signaling devices positioned at or near road intersections, pedestrian crossings and other locations to control competing flows of traffic. Traffic lights provide the right way to road users by displaying lights of a standard color (red, yellow/amber, and green)following a universal color code

4. Problems of conventional traffic light Controller Heavy traffic jams No Traffic, but still needs to wait Emergency vehicles stuck in traffic jams Lack of traffic information to users Average American commuter spends 38 hrs in traffic per year. While in Washington 67 hrs spent by a commuter in traffic per year.

5. Objective To develop a smart self learning traffic control system. Centralised controlling system. A system to cop with the emergency situations. Robust and reliable system. Cost efficient System.

6. Simulation Tools Any Logic IDE Java Programming Advance Algorithm Advance Libraries

7. System Design CSULB road network Implementation of Traffic lights System with 2D, 3D, Statistical and Logical view Various types of vehicles with different probabilities of traffic density Types of vehicles : Car Bus Emergency Vehicle

8. System

9. Home Screen

10. 2D View

11. 3D View

12. Statistics View

13. Logical View

14. Traffic Density Using IR sensors Calculated traffic density at different parts of the road Coding scheme used to show different traffic density Red Yellow Green

15. Environmental Scenarios Static ( Existing system) Dynamic ( Proposed system)

16. Static

17. Optimized values

18. Dynamic

19. Compare Results

20. Emergency Vehicles Detect emergency vehicles Priority Snapshot Mechanism Restore System

21. Future Scope Improved optimization time Implementation of patterns can be improved Include pedestrian and train libraries