The document discusses a proposed smart traffic management system using cloud technology. It outlines the introduction, research gap, problem statement, objectives of the study, proposed methodology, data flow diagram, hardware and software to be used, and references. The system aims to optimize traffic flow and reduce congestion using IoT sensors, cloud-based data collection and analysis, and coordinated traffic management between agencies.

1. Presented By:
IMRAN SAIFI
Department of Information Technology
Meerut (U.P.)
SMART TRAFFIC MANAGEMENT USING CLOUD

2.  Introduction
1 Research/Study Gap
2 Problem Statement
3 Objectives of the study
4 Methodology
5 DFD/Flow chart related to study
6 Hardware & Software to be used
7 References
2
Presentation Outlines

3. Introduction
3
Traffic Management is a method
for intelligently managing load in a
network. A cloud-based
transportation management
system delivers many of the same
business benefits as other cloud

4. Research Gap
4
Abstract Gap acceptance is an ,essential
skill for safe driving and bicycle riding.
Road crossing is a complex , perceptual-
motortask that requires accurate
perception of the gap sizes in a dynamic
stream of traffic and fine coordination to
synchronize .

5. Problem Statement
5
Traffic congestion problems consist of
incremental delay, vehicle operating costs
such as fuel consumption, pollution emissions
and stress that result from interference among
vehicles in the traffic stream, particularly as
traffic volumes approach a road's capacity.

6. Objectives of the study
6
optimising traffic flow on arterial and
freeway networks. reducing congestion
within and between cities. co-ordinating
agency traffic/transit operations. managing
incidents, reducing delays and adverse
effects of incidents and congestion, weather,
roadwork, special events, emergencies and

7. Methodology
7
A methodology for traffic
management in cities provides for
extensive use of computer
technologies. Modern international
experience shows that traffic
management in the urban street and

8. DFD/Flow chart of the study
8

9. Hardware/Software to be used
9
Hardware & Software

IoT road sensors including:

RFID (radio frequency identification) or
AIDC (automatic identification and data
collection) tags

Temperature sensors

Air quality sensors

10. References
10
towards a cloud based smart traffic management framework
 https://www.researchgate.net ›

Intelligent Urban Traffic Management System Based on Cloud ...
 https://www.researchgate.net › ... › Cloud Computing
Real Time Traffic Management System using Cloud ... - IRJET
 https://www.irjet.net
 https://en.wikipedia.org/wiki/Traffic_management
 An Introduction to Dew Computing: Definition, Concept and Implications - IEEE Journals &
Magazine".
 "Green Cloud Multimedia Networking: NFV/SDN Based Energy-Efficient Resource Allocation“
 Where's The Rub: Cloud Computing's Hidden Costs“
 The Rising Cloud Storage Market Opportunity Strengthens Vendors