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Traffic Congestion

Traffic Congestion

Price : 6000

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Course Duration
Approx 10

Course Price
₹ 6000

Course Level
Moderate

Course Content

 

In the present scenario vehicular travel is increasing all over the world, especially in large urban areas. Therefore for simulating and optimizing traffic control to better accommodate this increasing demand is arises. In this paper we studied the optimization of traffic light controller in a City using wireless sensor. We have proposed a traffic light controller and simulator that allow us to study different situation of traffic density in City. Using wireless sensor we can easily senses the density of traffic because the general architecture of wireless sensor network is an infrastructure less communication network.

Traffic research has the goal to optimize traffic flow of people and goods. As the number of road users constantly increases, and resources provided by current infrastructures are limited, intelligent control of traffic will become a very important issue in the future. However, some limitations to the usage of intelligent traffic control exist. Avoiding traffic jams for example is thought to be beneficial to both environment and economy, but improved traffic-flow may also lead to an increase in demand. There are several models for traffic simulation. In our research we focus on optimization of traffic light controller in a city using wireless sensor and embedded system.

Traffic Congestion

 

 

 

Hardware Requirements

 

1. Power supply

2. NODMCU ESP8266 Controller

3. IR sensor

4. Buzzer module

5. Ultrasonic sensor

6. Led lights

 

Traffic signaling systems having predetermined fixed operation time cannot manage the traffic volume changing over time and thus, long traffic queues are generated at the road crossings. Crossings by sensing the traffic load on the road using IR sensor and taking the best fitted decision based on the traffic load on the road. However, the detection of traffic load on the road by using IR sensor only is not a reliable solution. Moreover the proposed system works. The evaluation of performances of this proposed congestion control system through some test bed is our future goal of research.

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