Sensor Based Smart Traffic Controller With Real Time Monitoring

Project Title

Sensor Based Smart Traffic Controller With Real Time Monitoring

Project Area of Specialization Internet of ThingsProject Summary

Our system uses sensors to monitor real time traffic and sets a dynamic timer for the controller to ensure a steady flow of traffic within different intersections. It will also contribute in issues of over speeding vehicles when passing through intersections with higher speed limit with the help of recommendation system. Recommendation system will be having average time measures between two corresponding signals. In case of over speeding anomalies will be detected and warning will be generated. With the use of intelligent traffic management system, where Cameras will be set in all traffic signal junctions, they will be operating by software programs providing real time data on the location and movements of the vehicles. When vehicles left one signal then the number of vehicles passed will count and counted number of vehicles passed to the next signal. In case roads are not having traffic then no red light will show throughout the signal lights. In case of emergency movement, the system will detect the emergency vehicles and give priority to emergency movement. Our solution is low cost and does not need expensive installations; it can easily be integrated with existing traffic signals with minimum overhead. Each set of traffic lights will have communication equipment that can be used to transmit vehicle’s data, from IP cameras or CCTV feeds.  There will be three main components of this project; traffic lights, queue detectors (IP cameras), and a central control system. The detectors tell the state of traffic flow on all the main roads in the city, the system in turn controls the lights to maintain a free flow of traffic within the city.  

Project Objectives

Design a sensor based smart traffic controller system with real time monitoring to:   
? Control and monitor the flow of traffic in the city. 
? Change of fixed timers in traffic signals into dynamic timers. 
? Monitoring the over speeding issues. 
? Reduce traffic congestion, over speeding issues, road accidents, increase traffic 
productivity, and efficient flow of traffic with minimum human interface. 
? Give priority to emergency movements. 
? Reduce fuel consumption and human idling on the signals.  
 

Project Implementation Method

Our solution uses IP Cameras controlled with Raspberry Pi that monitors the real time traffic. Python, Java or LUA programming language and Machine learning techniques will be used to program the system. There will be three main components of this project; traffic lights, queue detectors (IP cameras), and a central control system in addition to recommendation system. There will be synchronized connection between traffic signals in different intersections, through wireless connections associated with cloud computing and Wi-Fi technologies. The detectors tell the state of traffic flow on all the main roads in the city, the system in turn controls the lights with recommendation system to maintain a free flow of traffic within the city.  When vehicles left one signal then the number of vehicles passed will count and counted number of vehicles passed to the next signal. Recommendation system will be having average time measures between two corresponding signals. In case of over speeding anomalies will be detected and warning will be generated. For zebra crossing (pedestrian), the pedestrian interaction with the signal will be monitored according to the traffic flow. In case of emergency movements, the flow of traffic will be controlled both through recommendation system and manually.  
 

Benefits of the Project

This system targets to control and monitor the flow of traffic within the city through recommendation system; it will replace fixed timers of traffic signals with dynamic timers. It will reduce traffic congestion, over speeding issues, road accidents, increase traffic productivity, and efficient flow of traffic with minimum human interface. 

Technical Details of Final Deliverable

Our solution uses IP Cameras controlled with Raspberry Pi that monitors the real time traffic. Python, Java or LUA programming language and Machine learning techniques will be used to program the system. There will be three main components of this project; traffic lights, queue detectors (IP cameras), and a central control system in addition to recommendation system. There will be synchronized connection between traffic signals in different intersections, through wireless connections associated with cloud computing and Wi-Fi technologies. The detectors tell the state of traffic flow on all the main roads in the city, the system in turn controls the lights with recommendation system to maintain a free flow of traffic within the city.  When vehicles left one signal then the number of vehicles passed will count and counted number of vehicles passed to the next signal. Recommendation system will be having average time measures between two corresponding signals. In case of over speeding anomalies will be detected and warning will be generated. For zebra crossing (pedestrian), the pedestrian interaction with the signal will be monitored according to the traffic flow. In case of emergency movements, the flow of traffic will be controlled both through recommendation system and manually.  

Final Deliverable of the Project HW/SW integrated systemType of Industry Transportation Technologies Artificial Intelligence(AI), Internet of Things (IoT)Sustainable Development Goals Sustainable Cities and CommunitiesRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	73200
Arduino microcontroller	Equipment	2	6600	13200
Raspberrypi micro controller	Equipment	1	7000	7000
speed sensor	Equipment	2	10000	20000
IP camera	Equipment	2	8000	16000
wifi module	Equipment	2	3500	7000
travel for project involving field work	Miscellaneous	1	10000	10000