Intelligent
transport systems (ITS) refer to the merger of integration of
transport infrastructure with information and communication
technologies with the motive of improving safety, monitoring,
mobility, traffic conditions, environmental sustainability and
economic performance of the transport system.
Modes
of transport that are affordable and easily accessible to everyone
are clearly fundamental to the wealth and prosperity of a huge part
of the world population. Such transport modes underpin employment,
global transport and economic growth, while also providing the
citizens with the kind of mobility and resources that are required to
maintain high quality of life.
However,
the ability of transport systems to maintain mobility is many times
hampered due to a continuous rise in traffic on every mode of
transport, road, air, water as the levels of urbanisation,
motorisation and population keeps growing in every part of world. The
resulting congestion in traffic clearly wreaks havoc on the
efficiency of traffic systems, leading to increased travel times, air
pollution and more consumption of fuel.
Addressing
the issue of traffic congestion was one of the primary purposes why
intelligent transport systems were brought into conception. The basic
motive behind fusing transport infrastructure with information and
communications system was to utilise the transport capacity even
better through the transfer of realtime data about traffic conditions
and infrastructure.
Since
then, a horde of new transport applications have merged and continue
to emerge. Applications based on information and communications
system such as navigation, traffic control systems, container
management, CCTV security systems, weather information, parking
guidance, etc.
It
is estimated that if ITS is employed to its best and adhered by all
transport modes across the globe, the problem of traffic congestion
could be reduced by
15%,
road fatalities by nearly 15% and CO2 emission by nearly 20%.
A
variety of wireless communication devices for data exchange of both
short-range and long-range
Computing
technologies: Currently, fewer and more costly processors are in huge
demand that allow more sophisticated applications such as artificial
intelligence
and model-based processing
Sensing
mechanisms: sensors are employed to feed vehicle based as well as
infrastructure based data to control systems.
Future
Prospects:
To
meet the challenge of developing a virtually clean, efficiently
mobile and accident-free environment on all modes of transport
through the use of ITS technologies, it is necessary that all the
elements of transport systems communicate and cooperate with each
other in real-time. Bi-directional data transfer is required in
vehicle to vehicle and vehicle to infrastructure systems. This
requires the development of a data transfer architecture that could
provide a common base for cooperative systems to work together. Some
applications based on cooperative systems are currently under
development. These include applications for traffic management,
weather and road condition warnings, route guidance to avoid traffic
congestion and intersection collision warnings.
Global
Scenario:
Though
this industry is still in its nascent phases, it has huge growth
opportunities throughout the globe. Issues about traffic management,
fuel consumption, mobility and environment protection are on rise.
All these have resulted in a rise in demand for advanced ITS systems
from all parts of the world.
If
market analysts are to be believed, this market could have market
value worth USD 30.3 billion by 2019. Transparency Market Research, a
US based market intelligence firm states in its new report about the
global ITS market that this industry has the potential of growing at
a CAGR of 11.1% in the coming five years.
The
segments of traffic management and vehicle systems are especially of
huge growth potential. The region of Asia Pacific possesses
significant growth opportunities for the industry to flourish in the
coming times.
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