Route Management of Emergency Vehicle and Traffic Density Control

Project Title

Route Management of Emergency Vehicle and Traffic Density Control

Project Area of Specialization Internet of ThingsProject Summary

Our project proposes a solution to the problems faced by the emergency vehicles due to traffic and primitive ways of controlling traffic. The project is divided into two phases:

·The Emergency Vehicle Priority: -

o   A mobile application, integrated to the Google Maps and Firebase, to locate the emergency vehicle and the number of traffic signals in the route.

o   The traffic signals in the route are switched to green in order to reach the destination at the earliest.

·Traffic Density Control: -

o   A Camera is used to capture images of the intersection.

o    Image processing algorithm is implemented to count the cars and regulate traffic according to congestion.

Project Objectives

•To minimize time for an emergency vehicle to reach targeted spot.

•To control congestion on a traffic signal.

•To provide a cost effective and reliable system in real-time environment

Project Implementation Method

Emergency Vehicle Priority

To overcome all of the issues we have proposed a model which will be efficient and mostly cost effective. The emergency vehicle driver will be equipped with the mobile application that we have implemented. The application will require the login ID and password to sign in to the app. As soon as the emergency vehicle driver logs in to the app it will require one information from the driver about the condition of the patient. As soon as the driver enters the condition of the patient, he will be redirected to the maps activity which will require the destination of the vehicle. As soon as the driver enters the destination on the app the information will be store into the database. The traffic related information stored in the database will be provided and the number of traffic signals in the route of the emergency vehicle will be identified. Now when the driver starts his ride the traffic signals turn green so that the emergency vehicle may not experience congestion. The traffic signals will be denoted as nodes on the maps activity. So as soon as the emergency vehicle crosses a node it starts its normal operation (Traffic density control).  

The figure above shows the interface of the google maps. The red spots on the map refers to the number of traffic signals on the route of the emergency vehicle. The red color indicates the emergency vehicle priority.

The above figure shows that when the emergency vehicle passes a node it turns green which represents the normal operation of the traffic signal. All of the decisions of switching to emergency vehicle priority phase or the traffic density control phase is done by the controller “Raspberry Pi 3B+”

Traffic Density Control

The process that we are going to implement is the image processing technique. The Raspberry pi camera will take images of all the intersections and count the number of cars present on each traffic signal. As soon as the car count is done the controller will decide which side of the intersection will be given priority on the basis of congestion. The camera will keep on taking pictures of the intersection and will provide increased time slots to those particular traffic signals.

As shown in the above figure the priority will be provided to the left lane because of the present of greater number of cars on the traffic signal.

Benefits of the Project

The project as discussed above will be a landmark in the transportatin industry and will be a benefit for all of the humans of the world. It will not only provide help in medical industry but will also promote health by reducing the poisonous gases excerted by the vehicle at a traffic signal.

Technical Details of Final Deliverable

The objectives will be accomplished by designing a system which will at normal time operate as density control operation i.e. will provide increased time slot to a busy road and during a case of an emergency will operate as emergency vehicle priority i.e. will provide a quick and less dense path for the emergency vehicle. To fulfil the objectives, we will be requiring four major components

1. A mobile application: - To get the information of the patient and to get the complete route of the emergency vehicle.
2. A database: - To store all of the information of the location of traffic signals and the condition of the patient. Most importantly the login ids and passwords of the emergency personnel.  
3. An identifying equipment: - To detect the number of vehicles on all of the traffic signals. The identifying equipment in the proposed methodology is the Raspberry Pi NoIR camera v2.
4. Controllers: - The decision regarding the controlling of traffic signals will be done by a controller. The controller used in the proposed methodology is the Raspberry Pi 3B+.

All of the hardware part will be provided by the prototype of the project that we are implementing currently of Shaheen Chowk. 

The software or the mobile application will be provided on the mobile phone.

Final Deliverable of the Project HW/SW integrated systemType of Industry Transportation , Health Technologies Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for People, Industry, Innovation and Infrastructure, Sustainable Cities and CommunitiesRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	71042
Raspberry Pi 3B+	Equipment	4	7000	28000
Raspberry Pi NoIR Camera Module v2.1	Equipment	4	4000	16000
Servo motors	Equipment	4	1000	4000
Google Maps API Key	Equipment	1	142	142
Transportation	Miscellaneous	1	3000	3000
Prototype Preparation Cost	Miscellaneous	1	6000	6000
LED Lights	Equipment	30	10	300
Power bank	Equipment	1	3500	3500
16GB Memory Card for Raspberry Pi	Equipment	4	1400	5600
Raspberry Pi Case	Equipment	4	500	2000
Connecting Wires	Equipment	60	25	1500
Stationary	Miscellaneous	1	1000	1000