02-11-2016, 10:33 AM
Implementing Intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen Vehicle Detection
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Abstract— This paper presents an intelligent traffic control system
to pass emergency vehicles smoothly. Each individual vehicle
is equipped with special radio frequency identification (RFID)
tag (placed at a strategic location), which makes it impossible to
remove or destroy. We use RFID reader, NSK EDK-125–TTL,
and PIC16F877A system-on-chip to read the RFID tags attached
to the vehicle. It counts number of vehicles that passes on a
particular path during a specified duration. It also determines
the network congestion, and hence the green light duration for
that path. If the RFID-tag-read belongs to the stolen vehicle, then
a message is sent using GSM SIM300 to the police control room.
In addition, when an ambulance is approaching the junction, it
will communicate to the traffic controller in the junction to turn
ON the green light. This module uses ZigBee modules on CC2500
and PIC16F877A system-on-chip for wireless communications
between the ambulance and traffic controller. The prototype was
tested under different combinations of inputs in our wireless
communication laboratory and experimental results were found
as expected.
INTRODUCTION
INDIA is the second most populous Country in the World
and is a fast growing economy. It is seeing terrible road
congestion problems in its cities. Infrastructure growth is slow
as compared to the growth in number of vehicles, due to
space and cost constraints [1]. Also, Indian traffic is nonlane
based and chaotic. It needs a traffic control solutions,
which are different from the developed Countries. Intelligent
management of traffic flows can reduce the negative impact
of congestion. In recent years, wireless networks are widely
used in the road transport as they provide more cost effective
options [2]. Technologies like ZigBee, RFID and GSM can
be used in traffic control to provide cost effective solutions.
RFID is a wireless technology that uses radio frequency electromagnetic
energy to carry information between the RFID tag
and RFID reader. Some RFID systems will only work within
the range inches or centimeters, while others may work for 100 meters (300 feet) or more. A GSM modem is a specialized
type of modem, which accepts a SIM card and operates over
a subscription to a mobile operator, just like a mobile phone.
AT commands are used to control modems. These commands
come from Hayes commands that were used by the Hayes
smart modems. The ZigBee operates at low-power and can
be used at all the levels of work configurations to perform
predefined tasks. It operates in ISM bands (868 MHz in
Europe, 915 MHz in USA and Australia, 2.4 GHz in rest of the
world). Data transmission rates vary from 20 Kilobits/second
in the 868 MHz frequency band to 250 Kilobits/second in the
2.4 GHz frequency band [3], [4]. The ZigBee uses 11 channels
in case of 868/915 MHz radio frequency and 16 channels
in case of 2.4 GHz radio frequency. It also uses 2 channel
configurations, CSMA/CA and slotted CSMA/CA [5].
The whole paper is grouped into 5 parts. Sections II talks
about the literature survey. Section III discusses about the
current problems that exist in making way to an ambulance
and other vehicles. It also talks of how the proposed model
will overcome the problems faced in developing Countries as
well as developed countries. Section IV gives the implementation
details of the proposed model. Section V presents the
enhancement of this work.
II. LITERATURE SURVEY
Traffic congestion is a major problem in cities of developing
Countries like India. Growth in urban population and the
middle-class segment contribute significantly to the rising
number of vehicles in the cities [6]. Congestion on roads
eventually results in slow moving traffic, which increases the
time of travel, thus stands-out as one of the major issues in
metropolitan cities. In [7], green wave system was discussed,
which was used to provide clearance to any emergency vehicle
by turning all the red lights to green on the path of the
emergency vehicle, hence providing a complete green wave
to the desired vehicle. A ‘green wave’ is the synchronization
of the green phase of traffic signals. With a ‘green wave’ setup,
a vehicle passing through a green signal will continue to
receive green signals as it travels down the road. In addition
to the green wave path, the system will track a stolen vehicle
when it passes through a traffic light. Advantage of the system
is that GPS inside the vehicle does not require additional
power. The biggest disadvantage of green waves is that,
when the wave is disturbed, the disturbance can cause traffic
problems that can be exacerbated by the synchronization.
In such cases, the queue of vehicles in a green wave grows
in size until it becomes too large and some of the vehicles
cannot reach the green lights in time and must stop. This is
called over-saturation [12], [13].
In [8], the use of RFID traffic control to avoid problems
that usually arise with standard traffic control systems, especially
those related to image processing and beam interruption
techniques are discussed. This RFID technique deals with
multivehicle, multilane, multi road junction areas. It provides
an efficient time management scheme, in which, a dynamic
time schedule is worked out in real time for the passage of each
traffic column. The real-time operation of the system emulates
the judgment of a traffic policeman on duty. The number
of vehicles in each column and the routing are proprieties,
upon which the calculations and the judgments are done. The
disadvantage of this work is that it does not discuss what
methods are used for communication between the emergency
vehicle and the traffic signal controller. In [9], it proposed
a RFID and GPS based automatic lane clearance system for
ambulance. The focus of this work is to reduce the delay
in arrival of the ambulance to the hospital by automatically
clearing the lane, in which, ambulance is travelling, before it
reaches the traffic signal. This can be achieved by turning the
traffic signal, in the path of the ambulance, to green when the
ambulance is at a certain distance from the traffic junction.
The use of RFID distinguishes between the emergency and
non-emergency cases, thus preventing unnecessary traffic
congestion. The communication between the ambulance and
traffic signal post is done through the transceivers and GPS.
The system is fully automated and requires no human intervention
at the traffic junctions. The disadvantage of this system is
it needs all the information about the starting point, end point
of the travel. It may not work, if the ambulance needs to take
another route for some reasons or if the starting point is not
known in advance.
Traffic is a critical issue of transportation system in most of
all the cities of Countries. This is especially true for Countries
like India and China, where the population is increasing at
higher rate as show in figure 1. For example, Bangalore city,
has witnessed a phenomenal growth in vehicle population
in recent years. As a result, many of the arterial roads and
intersections are operating over the capacity (i.e., v/c is more than 1) and average journey speeds on some of the key roads
in the central areas are lower than 10 Km/h at the peak hour.
In [10], some of the main challenges are management of more
than 36,00,000 vehicles, annual growth of 7–10% in traffic,
roads operating at higher capacity ranging from 1 to 4, travel
speed less than 10 Km/h at some central areas in peak hours,
insufficient or no parking space for vehicles, limited number
of policemen. In [11], currently a video traffic surveillance and
monitoring system commissioned in Bangalore city. It involves
a manual analysis of data by the traffic management team to
determine the traffic light duration in each of the junction.
It will communicate the same to the local police officers for
the necessary actions.
III. PROPOSED MODEL
From the current problem section, it can be seen that,
existing technologies are insufficient to handle the problems
of congestion control, emergency vehicle clearance, stolen
vehicle detection, etc. To solve these problems, we propose
to implement our Intelligent Traffic Control System. It mainly
consists of three parts. First part contains automatic signal
control system. Here, each vehicle is equipped with an RFID
tag. When it comes in the range of RFID reader, it will send
the signal to the RFID reader. The RFID reader will track
how many vehicles have passed through for a specific period
and determines the congestion volume. Accordingly, it sets
the green light duration for that path. Second part is for the
emergency vehicle clearance. Here, each emergency vehicle
contains ZigBee transmitter module and the ZigBee receiver
will be implemented at the traffic junction. The buzzer will be
switched ON when the vehicle is used for emergency purpose.
This will send the signal through the ZigBee transmitter to
the ZigBee receiver. It will make the traffic light to change
to green. Once the ambulance passes through, the receiver no
longer receives the ZigBee signal and the traffic light is turned
to red. The third part is responsible for stolen vehicle detection.
Here, when the RFID reader reads the RFID tag, it compares
it to the list of stolen RFIDs. If a match is found, it sends SMS
to the police control room and changes the traffic light to red,
so that the vehicle is made to stop in the traffic junction and
local police can take appropriate action. List of components
used in the experiment are CC2500RF module, Microchip
PIC16F877A, RFID Reader–125KHz–TTL and SIM300 GSM
module. Figure 2 shows the pin diagrams (or pictures) of
components used.
A. ZigBee Module CC2500
The CC2500 is a RF module and has transreceiver,
which provides an easy way to use RF communication at
2.4 GHz. Every CC2500 is equipped with the microcontroller
(PIC 16F877A), which contains Unique Identification
Number (UIN). This UIN is based on the registration number
of the vehicle. One of the most important features is
serial communication without any extra hardware and no
extra coding. Hence, it is a transreceiver as it provides communication
in both directions, but only one direction. The
microcontroller and CC2500 always communicate with the microcontroller via serial communication. Rx pin of CC2500
is connected to Tx (RC6) of microcontroller and Tx pin of
CXC2500 is connected to Rx pin of microcontroller (RC7).
Other two pins are used to energize transreceiver. It is used to
transmit and receive the data at 9600 baud rate. Figure 4.1.a
shows the image of transreceiver. Here, we uses CC2500
ZigBee module and it has transmission range of 20 meters.
B. Microcontroller (PIC16F877A)
Peripheral Interface Control (PIC) 16F series has a lot
of advantages as compared to other series. It executes each
instruction in less than 200 nanoseconds. It has 40 pins and
has 8K program memory and 368 byte data memory. It is easy
to store and send UINs. At the junction, it is easy to store large
number of emergency vehicles. Before switching to green, it
should satisfy all the conditions. Simple interrupt option gives
the advantage like jump from one loop to another loop. It is
easy to switch any time. It consumes less power and operates
by vehicle battery itself without any extra hardware. Figure 2.b
shows the PIN Diagram of PIC16F877A.
C. GSM Module SIM 300
Here, a GSM modem is connected with the microcontroller.
This allows the computer to use the GSM modem to communicate
over the mobile network. These GSM modems are
most frequently used to provide mobile Internet connectivity,
many of them can also be used for sending and receiving SMS
and MMS messages. GSM modem must support an “extended
AT command set” for sending/receiving SMS messages. GSM
modems are a cost effective solution for receiving SMS messages,
because the sender is paying for the message delivery.
SIM 300 is designed for global market and it is a tri-band GSM engine. It works on frequencies EGSM 900 MHz,
DCS 1800 MHz and PCS 1900 MHz. SIM300 features GPRS
multi-slot class 10/ class 8 (optional) and supports the GPRS
coding schemes. This GSM modem is a highly flexible plug
and play quad band GSM modem, interface to RS232, it
supports features like voice, data, SMS, GPRS and integrated
TCP/IP stack. It is controlled via AT commands (GSM
07.07,07.05 and enhanced AT commands). It uses AC – DC
power adaptor with following ratings DC Voltage: 12V/1A.
D. RFID Reader–125 kHz–TTL
Radio Frequency Identification (RFID) is an IT system that
transmits signals without the presence of physical gadgets
in wireless communication. It is categorized under automatic
identification technology, which is well established protocol.
The working of an RFID system is very simple. The system
utilizes tags that are attached to various components to be
tracked. The tags store data and information concerning the
details of the product of things to be traced. The reader
reads the radio frequency and identifies the tags. The antenna
provides the means for the integrated circuit to transmit its
information to the reader. There are two types of RFID
categories, active and passive tags. The tags that do not utilize
power are referred to as passive and they are driven by an
antenna that enables the tag to receive electromagnetic waves
from a reader. On the contrary, active tags rely on power
and they have inbuilt power sources that enable it to send
and receive signals from RFID reader. RFID range depends
on transmit power, receive sensitivity and efficiency, antenna,
frequency, tag orientations, surroundings. Typically, the
RFID range is from a few centimeters to over hundred meters.
RFID reader uses frequency 125 KHz with a range of 10 cm.
IV. WORKING MODEL
In this model, there are mainly 3 modules as follows.
A. Automatic Signal Control System
In this module, for experiment purpose, we have used
passive RFID tags and RFID reader with frequency 125 KHz.
RFID tag, when vehicle comes in the range of the receiver will
transmit the unique RFID to the reader. The microcontroller
connected to the RFID reader will count the RFID tags read
in 2 minute duration. For testing purpose, if the count is more
than 10, the green light duration is set to 30 seconds, if count is
between 5 and 9, the green light duration is set to 20 seconds.
If the count is less than 5, the green light duration is set to
10 seconds. The red light duration will be for 10 seconds
and orange light duration will be for 2 seconds. Figure 3
implementation for automatic signal control and stolen vehicle
detection system.
B. Stolen Vehicle Detection System
In this module, for testing purpose, we compare the unique
RFID tag read by the RFID reader to the stolen RFIDs stored
in the system. If a match is found, then the traffic signal
is immediately turned to red for a duration of 30 seconds.
CONCLUSION AND ENHANCEMENTS
With automatic traffic signal control based on the traffic
density in the route, the manual effort on the part of the
traffic policeman is saved. As the entire system is automated,
it requires very less human intervention. With stolen vehicle
detection, the signal automatically turns to red, so that the
police officer can take appropriate action, if he/she is present
at the junction. Also SMS will be sent so that they can prepare
to catch the stolen vehicle at the next possible junctions.
Emergency vehicles like ambulance, fire trucks, need to reach
their destinations at the earliest. If they spend a lot of time in
traffic jams, precious lives of many people may be in danger.
With emergency vehicle clearance, the traffic signal turns to
green as long as the emergency vehicle is waiting in the traffic
junction. The signal turns to red, only after the emergency
vehicle passes through. Further enhancements can be done to
the prototype by testing it with longer range RFID readers.
Also GPS can be placed into the stolen vehicle detection
module, so that the exact location of stolen vehicle is known.
Currently, we have implemented system by considering one
road of the traffic junction. It can be improved by extending
to all the roads in a multi-road junction.