Intelligent Transport System Approach to Traffic Congestion

RUNNING HEAD: INTELLIGENT TRANSPORT SYSTEM APPROACH TO TRAFFIC
CONGESTION 0
INTELLIGENT TRANSPORT SYSTEM
APPROACH TO TRAFFIC
CONGESTION

INTELLIGENT TRANSPORT SYSTEM APPROACH TO TRAFFIC CONGESTION 1
Table of Contents
Introduction......................................................................................................................................2
Literature review..............................................................................................................................2
Conclusion.......................................................................................................................................6
References........................................................................................................................................7

INTELLIGENT TRANSPORT SYSTEM APPROACH TO TRAFFIC CONGESTION 2

INTELLIGENT TRANSPORT SYSTEM APPROACH TO TRAFFIC CONGESTION 3
Introduction
Intelligent Transportation Systems is a combination of leading-edge information and
communication technologies used in transportation and traffic management systems to improve
the safety, efficiency, and sustainability of transportation networks, to reduce traffic
congestion and to enhance drivers' experiences (Perallos et al., 2015). It is an advanced
technology which offer innovative services and helps in monitoring as well as adjusting the road
network performance in real-time. In this report the literature review is done on “Intelligent
transport system approach to traffic congestion” to provide better understanding on the
Information Transportation system in various developed regions. The research problem includes
the high traffic loads, congestion traffic in the developed regions and the application of
Information Transportation system in urban region.
Literature review
Nellore and Hancke conducted the study to provide arrangement of different schemes for
managing the traffic and which can be used in avoiding the congestion (Nellore & Hancke,
2016). However, earlier schemes of urban traffic management regarding the prevention of
congestion. In this study research finds that there are various issues in managing the urban traffic
system that are traffic congestion, non- recurring congestion of traffic. The researcher also finds
that wireless sensing network can be adopted to detect the traffic. The study suggests that for
sensing the traffic, technologies like Radio- frequency identification, Inductive loop can be used.
In future the researcher can conduct the study by focusing on the variable like number of
accidents, violations in the traffic etc. According to Vallati et al development in the urbanization
increases the demand for transportation (Vallati et al., 2016). The study is conducted to know
the feasibility of mixed planning to handle the uncertain situations in controlling the urban
traffic. After, investigating researcher finds that earlier the fixed-time as well as reactive control
is used to control the traffic in urban countries. In study researcher finds that PDDL+ formulation
is considered the effective model in sensing the traffic rather than Fixed-time and reactive
systems. In future, the researcher can take the other actions of controlling the traffic that
inconsistent limit of speed. According to Yun and Qu freeways zones of work leads traffic