AN OPEN TRAFFIC LIGHT CONTROL MODEL FOR

REDUCING VEHICLES’ CO2 EMISSIONS BASED ON ETC

VEHICLES

Abstract:

In recent years, the problem of global warming has seriously become a worldwide

concern. It involves issues such as the sea-level-rising problem. During the last 100 years, the

global mean sea level has risen between 10 and 25 cm (18-cm average). A typical driving trip

consists of idling, accelerating, cruising, and decelerating. The proportion of trip in these

different stages depends on the driver’s behavior and the traffic’s congestion level. The CO2

emission from these stages is different. During Idling the engine consumes more fuel and

releases more CO2 than in cruising stage. Most common reason for engine Idling is Stop & Go

drive. The stop and go usually occurs at parking and intersections (signals). Hence controlling

traffic signals intelligently will reduce CO2 emission, thus by reducing Air Pollution.

Existing system:

One of the ways to smooth travelling is the traffic light control. The most widely used

control scheme is the fixed-time control, but it cannot meet the requests of optimal waiting times.

The most widely used control scheme is the fixed-time control, but it cannot meet the requests of

optimal waiting times.

Proposed system:

In the proposed system, a three-tier open model is proposed for adaptive traffic light

control, which is mainly aimed at smoothing vehicle travels. The function of tier-1 mainly

concerns collecting road traffic flow information data, sending traffic flow data, receiving traffic

light phase data, and calculating recommended speeds. Tier-1 is fixed section on the lane

entrance.

The tier-2 consists of traffic signal section. The traffic information is transmitted in

wireless to tier-1 and tier-3. The information consists of the current signal information, timing

for the next green signal or the time left out for the current green signal.

The tier-3 is the information collecting center which is used for third party interface. The

information about the traffic flow can be seen through this section.

Block Diagram:

TIER-1:

8051

Micro

Controller

Power

Supply

GPS

MAX

232 Zigbee

LCD

TIER-2:

TIER-3:

Hardware requirements:

8051 Microcontroller with Power Supply

Traffic Light Set Up

Max 232

Relay Driver

Zigbee

LCD

GPS

Power

Supply

MAX

232 Zigbee PC

8051

Micro

Controller

Power

Supply

MAX

232 Zigbee

LCD

Relay

Driver

PC with .net

Software requirements

Embedded c

Keil C Compiler

VB .net

Advantages

CO2 emission is reduced thus reducing air pollution

Traffic congestion is avoided

Fuel efficiency for vehicles is maintained