This document reviews the use of cloud computing for transportation systems. It discusses the history of transportation management systems, from mainframes to current cloud-based approaches. Agent-based traffic management systems are described, including the Adapts hierarchical urban traffic management system. Challenges of agent distribution and performance testing are outlined. Future systems require vast computing power and storage, which cloud computing can provide through services like MapReduce, Amazon EC2 and IBM Blue Cloud. A prototype intelligent traffic cloud is proposed, with roles of service providers and customers, and a four-layer architecture including applications, platforms, unified sources and fabric.

1. A REVIEW OF CLOUD COMPUTING FOR TRANSPORTATION
SYSTEM
BTL INSTITUTE OF TECHNOLOGY
Bangalore-560 099
Department of Computer Science & Engg.
National Conference on Decision Science & BIG DATA
NCDSBD - 13
Presented By:
NAVEENA N
M.Tech 2nd Sem
BTLIT

2. OVERVIEW
 INTRODUCTION
 HISTORY
 AGENT-BASED TRAFFIC MANAGEMENT SYSTEMS
 CHALLENGES
 INTELLIGENT TRAFFIC CLOUDS
 REFERENCES
A Review of Cloud Computing for Transportation System
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A Review of Cloud Computing for Transportation System

4. INTRODUCTION
 Agent-Based Traffic Management Systems
 Cloud computing can help such systems to deal with large amounts
of storage and computing resources
 Development of Traffic control systems within evolving computing
paradigm
 Agent-Based Distributed and Adaptive Platforms for
Transportation Systems (Adapts)
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A Review of Cloud Computing for Transportation System

5. HISTORY
 IBM 650 was first introduced to an urban traffic-management
system in 1959
 Traffic control and management paradigm has five phases
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A Review of Cloud Computing for Transportation System

6.  In first phase, mainframes were shared by many terminals
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A Review of Cloud Computing for Transportation System

7.  At second stage a microcomputer could handle a single
user‟s requirements
 Traffic Signal Controller (TSC) had enough capacity to control one
intersection
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A Review of Cloud Computing for Transportation System

8.  In phase three, LANs appeared for resource sharing.
 Traffic model became hierarchical
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A Review of Cloud Computing for Transportation System

9.  In the internet era, users could retreive data and from remote
sites and process them locally
 To reduce loss of bandwidth, mobile agents were introduced
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A Review of Cloud Computing for Transportation System

10.  Fifth computing paradigm- Cloud computing
 Users do not need to know the infrastructure in the “clouds”
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A Review of Cloud Computing for Transportation System

11.  Parallel transportation Management System (PtMS)
 Term „Parallel‟ means the parallel interaction between an
actual transportation system and their virtual
counterparts
 PtMS use Artificial Transportation Systems (ATS)
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A Review of Cloud Computing for Transportation System

12. AGENT-BASED TRAFFIC MANAGEMENT SYSTEMS
 Agent technology was used since 1992
 Multiagent systems came later
 Mobile agents became popular in 2004
 Move through the network
 Traffic device only need an operating platform
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A Review of Cloud Computing for Transportation System

13.  In 2005, „Adapts‟ was proposed as a hierarchical urban traffic
management system
 It has three layers
 Organization
 Coordination
 Execution
 Currently Adapts is part of PtMS
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A Review of Cloud Computing for Transportation System

14. Organization Layer
 Functions
 Agent-oriented task decomposition
 Agent scheduling
 Encapsulating traffic strategy
 Agent management
 Consists of
 A management layer
 Three databases
 Artificial transportation system
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A Review of Cloud Computing for Transportation System

15. Organizational layers of Agent based Distributed Transportation System
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A Review of Cloud Computing for Transportation System

16.  When an unknown traffic scene is encountered
 Urban management system sends a traffic task to organization
layer
 It is decomposed into a combination of traffic scenes
 MA will return a combination of most appropriate agents and a
map about their distribution
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A Review of Cloud Computing for Transportation System

17. Testing System Performance
 Set up an ATS to test performance of the urban-traffic
management system
 Computational experiments are faster than real world
 If unsatisfactory, both systems will be modified
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A Review of Cloud Computing for Transportation System

18. NEW CHALLENGES
 Agent-distribution map and relevant agents need to be sent to ATS
for experimental evaluation
 A test was conducted to find the cost of this operation
 If the time to complete evaluation exceed a threshold, results will
become useless and meaningless
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A Review of Cloud Computing for Transportation System

19.  In the test, they used a 2.66-GHz PC with 1GB memory to run both
ATS and Adapts
 It took 3600s in real time
 Number of intersections increased from 2 to 20
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A Review of Cloud Computing for Transportation System

20. The time required to run ATS and Adapts experiments on one PC
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A Review of Cloud Computing for Transportation System

21. Future Systems
 The future systems must have the following capabiliites
 Computing Power
 Testing a large amount of typical traffic scenes requires lot of
computing resources
 If a traffic strategy trains on actuator, it will damage the
performance of the traffic AI agent
 Better to train AI agent before moving it to the actuator
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A Review of Cloud Computing for Transportation System

22.  Storage
 Vast amount of traffic data like configuration of traffic
scenes, regulations and information about agents in ATS need
vast amount of storage
 Two solutions
 Implement a super computer with all centers of urban-
traffic management systems
 Use cloud computing technologies.
• For eg: Google‟s Map-Reduce, IBM‟s Blue Cloud and
Amazon‟s EC2
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A Review of Cloud Computing for Transportation System

23. INTELLIGENT TRAFFIC CLOUDS
Overview Of Urban-traffic management systems based on
cloud computing
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A Review of Cloud Computing for Transportation System

24. PROTOTYPE
 Urban-traffic management using intelligent traffic clouds
 It will go far beyond other multiagent traffic management systems
 It has two roles
 Service provider and
 Customer
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A Review of Cloud Computing for Transportation System

25.  Service providers include ATS, traffic strategy database and
traffic strategy agent database
 They are all in system‟s core: intelligent traffic clouds
 Customers include urban-traffic management systems and traffic
participants
 They exist outside the cloud
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A Review of Cloud Computing for Transportation System

26. ARCHITECTURE
 Intelligent traffic clouds have four architecture layers
1. Application
2. Platform
3. Unified source
4. Fabric
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A Review of Cloud Computing for Transportation System

27. Intelligent traffic clouds have fabric, unified source layer, platform and application layers.
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A Review of Cloud Computing for Transportation System

28. Thank you!!!
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A Review of Cloud Computing for Transportation System