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Presented by Guided by
Raviraj Khatu Prof. Lalit Kulkarni
(Roll No.: 306044)
MAHARASHTRA INSTITUTE OF TECHNOLOGY
Department of Information Technology
Contents
• Introduction
• Sustainability
• Eco driving
• Cloud Based Framework
• Big Data
• Advantages of S-ITS
• Disadvantages of S-ITS
• Conclusion
• References
2
Introduction-Mobile Cloud Computing
• Mobile Cloud Computing (MCC) is the combination of cloud
computing, mobile computing and wireless networks to bring
rich computational resources to mobile users, network
operators, as well as cloud computing providers.
• Cloud computing involves deploying groups of remote servers
and software networks that allow centralized data storage and
online access to computer services or resources.
• Mobile computing is human-computer interaction by which
a computer is expected to be transported during normal
usage.
3
Introduction to S-ITS
• Sustainable Intelligent Transportation System is a system to
improve the effectiveness and efficiency of surface
transportation systems through advanced technologies in
information systems, communications, and sensors.
• The S-ITS can be used for improving the travel efficiency ,
safety and service life of vehicle.
4
Cloud Computing
• Attributes
– Broad Network Access
– Rapid Elasticity
– Pay as you go/Measured Service
– On Demand Self-Service
– Resource pooling
• Deployment models
– Public Cloud
– Private Cloud
– Community Cloud
– Hybrid Cloud
5
Cloud Computing(Cont.)
• Service Models
– Software as a Service (SaaS)
– Platform as a Service(PaaS)
– Infrastructure as a Service(IaaS)
6
Sustainability
Ref. iii.-Google (CO2 Emission from fuel
combustion 2012, International Energy Agency)
Ref. ii.-Google ( Energy Consumption by Sector
in 2012, International Energy Agency)
7
Sustainability(Cont.)
• For reducing CO2 Emission and Fuel Consumption
S-ITS suggests concepts of
– Eco-driving
– Route Navigation Planning
– Driving Behaviour Pattern
8
Eco-driving
Ref. iv.-Google (Eco-driving flowchart by TOYOTA)
9
Cloud Based Framework
Ref. i.-ScienceDirect research paper published in August 2014
10
Cloud Based Framework(Cont.)
• A transportation Cloud-based Service platform is
constructed.
• Telematics, navigators and vehicle data recorders are
integrated with cloud computing services.
• Telematics is a new-generation vehicle technology
that integrates information, communications and
automotive electronics
11
Cloud Based Framework(Cont.)
• Data is often stored in hard disks or on
memory cards.
• This gives rise to problem of high power
consumption and limited storage space.
• Hence neither can be used for long term
storage and further analysis and processing.
12
Big Data
• Video Surveillance Recordings Create 413 Petabytes
of Data Every Day.
• Big data analysis technologies will be used to analyze
large amounts of transportation data in cloud-based
system.
• These analysis includes
– Driving behaviour pattern analysis
– Video Streaming analysis
– Route navigation planning
– In-car traffic detection
13
Advantages of S-ITS
• An e-Learning visualization system was developed to
provide advice and instruction for correction of
misguided driving behaviour.
• Energy Conservation issues can be reduced.
• The system is useful for improving the travel
efficiency, safety, and service life of vehicles.
14
Disadvantages of S-ITS
• The drawbacks of this method are its long
calculations and inability to provide in-car feedback.
• Big data analysis tools require time for the analysis of
the data.
15
Conclusion
• The fuel consumption and Carbon Dioxide emission
can be reduced simultaneously from a Cloud-based
Sustainable Intelligent Transportation System.
• Eco navigation services can be provided by
integrating eco-driving routes and driving
information to achieve real energy conservation.
16
References
1. C. YuHsu, C. Yang, L.Yu, C. Lin, H. Yao, D. Chen, K.
Robert Lai, P. Chang, “Development of a Cloud-based
Service Framework for Energy Conservation in a
Sustainable Intelligent Transportation System ”, Elsevier
Journal of Production Economics, August 2014, pp. 1-8.
2. Google ( Energy Consumption by Sector in 2012,
International Energy Agency)
3. Google (CO2 Emission from fuel combustion 2012,
International Energy Agency)
4. Google (Eco-driving flowchart by TOYOTA)
17
THANK YOU..
17

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Sustainable Transportation System

  • 1. Presented by Guided by Raviraj Khatu Prof. Lalit Kulkarni (Roll No.: 306044) MAHARASHTRA INSTITUTE OF TECHNOLOGY Department of Information Technology
  • 2. Contents • Introduction • Sustainability • Eco driving • Cloud Based Framework • Big Data • Advantages of S-ITS • Disadvantages of S-ITS • Conclusion • References 2
  • 3. Introduction-Mobile Cloud Computing • Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing and wireless networks to bring rich computational resources to mobile users, network operators, as well as cloud computing providers. • Cloud computing involves deploying groups of remote servers and software networks that allow centralized data storage and online access to computer services or resources. • Mobile computing is human-computer interaction by which a computer is expected to be transported during normal usage. 3
  • 4. Introduction to S-ITS • Sustainable Intelligent Transportation System is a system to improve the effectiveness and efficiency of surface transportation systems through advanced technologies in information systems, communications, and sensors. • The S-ITS can be used for improving the travel efficiency , safety and service life of vehicle. 4
  • 5. Cloud Computing • Attributes – Broad Network Access – Rapid Elasticity – Pay as you go/Measured Service – On Demand Self-Service – Resource pooling • Deployment models – Public Cloud – Private Cloud – Community Cloud – Hybrid Cloud 5
  • 6. Cloud Computing(Cont.) • Service Models – Software as a Service (SaaS) – Platform as a Service(PaaS) – Infrastructure as a Service(IaaS) 6
  • 7. Sustainability Ref. iii.-Google (CO2 Emission from fuel combustion 2012, International Energy Agency) Ref. ii.-Google ( Energy Consumption by Sector in 2012, International Energy Agency) 7
  • 8. Sustainability(Cont.) • For reducing CO2 Emission and Fuel Consumption S-ITS suggests concepts of – Eco-driving – Route Navigation Planning – Driving Behaviour Pattern 8
  • 10. Cloud Based Framework Ref. i.-ScienceDirect research paper published in August 2014 10
  • 11. Cloud Based Framework(Cont.) • A transportation Cloud-based Service platform is constructed. • Telematics, navigators and vehicle data recorders are integrated with cloud computing services. • Telematics is a new-generation vehicle technology that integrates information, communications and automotive electronics 11
  • 12. Cloud Based Framework(Cont.) • Data is often stored in hard disks or on memory cards. • This gives rise to problem of high power consumption and limited storage space. • Hence neither can be used for long term storage and further analysis and processing. 12
  • 13. Big Data • Video Surveillance Recordings Create 413 Petabytes of Data Every Day. • Big data analysis technologies will be used to analyze large amounts of transportation data in cloud-based system. • These analysis includes – Driving behaviour pattern analysis – Video Streaming analysis – Route navigation planning – In-car traffic detection 13
  • 14. Advantages of S-ITS • An e-Learning visualization system was developed to provide advice and instruction for correction of misguided driving behaviour. • Energy Conservation issues can be reduced. • The system is useful for improving the travel efficiency, safety, and service life of vehicles. 14
  • 15. Disadvantages of S-ITS • The drawbacks of this method are its long calculations and inability to provide in-car feedback. • Big data analysis tools require time for the analysis of the data. 15
  • 16. Conclusion • The fuel consumption and Carbon Dioxide emission can be reduced simultaneously from a Cloud-based Sustainable Intelligent Transportation System. • Eco navigation services can be provided by integrating eco-driving routes and driving information to achieve real energy conservation. 16
  • 17. References 1. C. YuHsu, C. Yang, L.Yu, C. Lin, H. Yao, D. Chen, K. Robert Lai, P. Chang, “Development of a Cloud-based Service Framework for Energy Conservation in a Sustainable Intelligent Transportation System ”, Elsevier Journal of Production Economics, August 2014, pp. 1-8. 2. Google ( Energy Consumption by Sector in 2012, International Energy Agency) 3. Google (CO2 Emission from fuel combustion 2012, International Energy Agency) 4. Google (Eco-driving flowchart by TOYOTA) 17