In urban areas traffic system is one of the significant indicators to show the growth and progress of a city and it also influences the quality of life of people living in metropolitan cities. In recent years, there is a significant increase in usage of road vehicles which is becoming challenge for
IoT Based Smart Traffic Management System
In urban areas traffic system is one of the significant indicators to show the growth and progress of a city and it also influences the quality of life of people living in metropolitan cities. In recent years, there is a significant increase in usage of road vehicles which is becoming challenge for existing transportation system. the currently deployed traffic system is not based on the traffic congestion level and a predefined time is allocated for traffic lights at every road crossing which results in traffic congestion and situation becomes worst in the peak traffic hours. this high level traffic congestion contributes in the pollution by the emission of CO2 and several other pollutants in air and it may stuck the emergency vehicles which can results in any casuality. moreover, it also causes tripling of the fuel consumption and consequently put adverse effects on the economy as well.
2. Proposed Solution:
To address the above problems this project presents the development of congestion level based dynamic traffic management system using IoT. it regulates the traffic lights duration based on the real-time congestion level of the traffic measured at the road crossings by using ultra sonic sensors. In addition to this, a priority will be given to emergency vehicles by assigning different identity numbers to vehicles and they will be given signal free route
3. Methodology:
The completion of the project will be done in fours sections. In fist section the logic for traffic management is made based on traffic congestion levels. In second section simulations are done in Proteus after that development of IoT is done and last section real-time prototype will be implemented
The objectives of the proposed project are given below:
1) To develop the dynamic traffic management system to solve the traffic congestion problem
2) To provide priority to emergency vehicles by giving them signal free path
3) To real-time monitor traffic situation on cloud
The project implementation methodology is divided in the following steps:
1) Literature review of IoT sesnsors, different controllers and communication technologies for their communication
2) System architecture development
3) implementation of simulations
3) Development of IoT based communication
4) Implementation of real-time prototype
5) Testing
6) Development of cloud
7) Documentation (Parallel Basis)
The project will be beneficial in following aspects:
1) It will make positive impact on the country 's economy
2) It will contribute in making Pakistan healthier by reducing the emission of pollutants in air
3) It will reduce the chance of causality due to emegency vehicles stuck in traffic congestion
4) It will improve the quality of life by reducing traffic delays at road crossings
The project has following deliverables:
1) Logic Development for dynamic switching of traffic lights
2) Development of simulations presenting the already developed logic
3) Development of IoT communication: to develop an end to end communication link between the sensor node and actuator node via gateway
4) 1st Conference Paper Submission
5) Implementation of hardware prototype based on two scenarios:
a) Regulating traffic congestion dynamically based on traffic congestion intensity
b) Give priority to emergency vehicles
6) Thesis Submission
7) 2nd Conference Paper submission
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi | Equipment | 2 | 15000 | 30000 |
| HDMI Cable | Equipment | 1 | 450 | 450 |
| ESP 32 wifi controller | Equipment | 5 | 900 | 4500 |
| ESP data cables | Equipment | 3 | 150 | 450 |
| Bulb Holders | Equipment | 12 | 30 | 360 |
| Bulb | Equipment | 15 | 40 | 600 |
| Acralic Sheet | Equipment | 1 | 1400 | 1400 |
| Acralic Sheet laser cutting | Equipment | 1 | 800 | 800 |
| Wooden Board | Equipment | 1 | 1000 | 1000 |
| Vero Board | Equipment | 4 | 50 | 200 |
| Wires | Equipment | 1 | 250 | 250 |
| Keypad | Equipment | 1 | 250 | 250 |
| Adapter | Equipment | 1 | 1200 | 1200 |
| Relays | Equipment | 12 | 125 | 1500 |
| Internet Device | Equipment | 1 | 3000 | 3000 |
| Aurdino Mega plus wifi | Equipment | 1 | 2400 | 2400 |
| Ultrasonic sensors | Equipment | 15 | 150 | 2250 |
| PCB | Equipment | 1 | 570 | 570 |
| Miscellaneous | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 61180 |
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