In the past when there were few vehicles on the , the time of day traffic signal worked very well. We propose an electrosensitive traffic light using a fuzzy look up table methode which will reduce average vehicle waiting time and improve average vehicle speed.
AI basedTraffic Control and Monitoring System
In the past when there were few vehicles on the , the time of day traffic signal worked very well. We propose an electrosensitive traffic light using a fuzzy look up table methode which will reduce average vehicle waiting time and improve average vehicle speed.
The objective of designing artificial intelligence traffic controllers is that traffic controllers have the capabilities to adapt to the current data from sensors to perform constant optimizations on the signal.
The implementation of this project is that it will work totally automatic by artificial intelligence to collect data of heavy traffic.
1) To reduce traffic junction hazards
2) Traffic light manages the signals light using wireless communication medium and select nearest path with minimum congestion
Learning based traffic control algorithms have explore as an alternative to existing traffic control logics. The reinforcment learning algorithms is being spotlighted in the field of adaptive traffic signal control.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Respberrypi | Equipment | 1 | 11000 | 11000 |
| Project structural designing | Miscellaneous | 1 | 8000 | 8000 |
| Wires | Equipment | 10 | 200 | 2000 |
| Sensors | Equipment | 3 | 2000 | 6000 |
| Stationary items | Miscellaneous | 1 | 2000 | 2000 |
| Electronic item | Equipment | 1 | 1000 | 1000 |
| Total in (Rs) | 30000 |
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