Dedan Kimathi University of Technology Electrical and

Dedan
Kimathi University of Technology

Electrical
and Electronic Engineering Department

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Bsc.
EEE

5th
YEAR PROJECT CONCEPT NOTE

Names.
                                                                                   Reg.
No. :

STEPHEN
WAMAE MATHENGE                                  E021-01-0115/2016

AMOS
KIPROP KOECH                                                               E021-01-0689/2014               

Title                INTELLIGENT TRANSPORT
SYSTEM

Problem
statement

In Kenyan roads accidents are at alarming rate since
death rate stands at 3000 per year which arises due to human error. Hence the
need to reduce them and provide reliable information on the road conditions,
vehicle parameters and other environmental factors that would play a major
factor in reducing accidents and save time, life and resources.

Mobility and
transportation are the engine to economic growth of a country. Unfortunately,
this engine also depicts the signs of the times (i.e. congestion, accessibility
and road safety problems). It has been proven that the supply of infrastructure
cannot keep up with population and mobility growth of a country, especially in
the developing world; this is due to financial and human resource constraints.

Increasing traffic congestion around the world is limiting
urban mobility and contributing to unsustainable environmental, economic, and
social conditions. The concept of intelligent transportation systems (ITS), which
is defined as the application of computing and electronics technologies to
transportation, offers potential for alleviating the negative effects of
traffic congestion. These negative effects include impacts on road efficiency, the
environment, safety, and cost. Institutional obstacles, however, limit ITS
deployment.

Justification

Intelligent Transport System (ITS)
encompasses a broad range of wireless and wire line communications based
information and electronics technologies and is one of the most promising
methods in dealing with the traffic problems. While some key information is
readily obtained using traditional query operations of traffic information, the
analysis and management of traffic information remains one of the key issues
and deeper information are still difficult to discover. This deeper level
information usually contains large volume of data known as big data and our
inability to harness important information from them brings us to an important
technique used universally. The intelligent transport system
(ITS) takes the first step towards meeting this challenge by providing
effective, reliable and meaningful knowledge to the motorists in time. Traffic congestions,
endangered environments and safety can be solved through effective innovative
and sophisticated ways and techniques that use emerging information technology,
electronics and telecommunication with roads and traffic management techniques.
When this technique is employed in the transport infrastructure system and in
the vehicles, it would help in monitoring and managing traffic flow, provide
alternative routes to drivers hence reduce congestions on the road and
increasing productivity by saving time and money and also safe life as well.
Intelligent transport system provides skilled tools for transport professionals
where they can collect, analyze and archive the data and through the data
response time to incidences, adverse weather conditions can be handled with
ease. 

Main
Objectives:

reducing environmental
impact and increasing safety

Specific
objectives:

Minimize congestion and improve flow of traffic Enhanced mobility for commuters

References
:

x

x

1

yokosuka Toshifumi
Nishimura and Takasho kunihiko Sugihara, “Vibration sensor for an
automotive vehicle,” 4348905, July 8, 1980.

2

Lowa State
University, “New road surfacecondition sensors,” lowa state
uviversity, US, Report 2005. Online.  
HYPERLINK “http://aurora-program.org”   http://aurora-program.org

3

Sumit Mallik,
“Intelligent Transport System,” International Journal of Civil
Engineering Reaserch, vol. V, no. 4, pp. 367-372, 2014.

4

Paula Silvonen, Mauno
Ronkko, Mikko Kolehmainen Markus Stocker, “Detection and Classification
of Vehicles by Measurement of Road -Pavement vibration and by Means of
Supervised Machine learning,” Journal of Intelligent Transport System,
vol. XXII, no. 2, pp. 125-137, February 2015.

5

IIT-KANPUR.
Webcourse-contents. Online.  
HYPERLINK “http://nptel.ac.in”   http://nptel.ac.in

6

M. Amer Shedid, Samah
A.S. Hossam M.S., “Real Time Traffic Accident Detection System using
Wireless Network,” in International Conference of soft computing
& pattern Recognition, Cairo Egypt, 2014.

7

Benedikt Schmuelling
Heiko Fechtner, “A New Selection Procedure for the Optimal Vehicle Mass
Detection Method Depending on Environmental Parameters,” in 2nd IEEE
International Conference On Intellingent Transport Engineering, Wuppertal
Germany, 2017.

8

R. Sunitha, R. Anitha
C. Prabha, “Automatic Vehicle Accident Detection and Messaging System
Using GSM and GPS Modem,” International Journal of Advanced Research
in Electrical Electronics & International Engineering, vol. III, no.
7, pp. 10723-10727, July 2014.

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