SlideShare a Scribd company logo
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

More Related Content

What's hot

Vehicle-2-Vehicle Communication Based on Wireless Sensor Network
Vehicle-2-Vehicle Communication Based on Wireless Sensor NetworkVehicle-2-Vehicle Communication Based on Wireless Sensor Network
Vehicle-2-Vehicle Communication Based on Wireless Sensor Network
journalBEEI
 
Integrated Intelligent Transportation Systems (ITS)
Integrated Intelligent Transportation Systems (ITS)Integrated Intelligent Transportation Systems (ITS)
Integrated Intelligent Transportation Systems (ITS)
Babagana Sheriff
 
Artificial intelligence in transportation system
Artificial intelligence in transportation systemArtificial intelligence in transportation system
Artificial intelligence in transportation system
PoojaBele1
 
Challenges and complexities in application of LCA approaches in the case of I...
Challenges and complexities in application of LCA approaches in the case of I...Challenges and complexities in application of LCA approaches in the case of I...
Challenges and complexities in application of LCA approaches in the case of I...
Reza Farrahi Moghaddam, PhD, BEng
 
Truck Platooning at TTI
Truck Platooning at TTI Truck Platooning at TTI
Truck Platooning at TTI
Texas A&M Transportation Institute
 
Intoduction to ITS
Intoduction to ITSIntoduction to ITS
Service oriented space-infrastructures_brown_university_2014_lisi
Service oriented space-infrastructures_brown_university_2014_lisiService oriented space-infrastructures_brown_university_2014_lisi
Service oriented space-infrastructures_brown_university_2014_lisi
Marco Lisi
 

What's hot (7)

Vehicle-2-Vehicle Communication Based on Wireless Sensor Network
Vehicle-2-Vehicle Communication Based on Wireless Sensor NetworkVehicle-2-Vehicle Communication Based on Wireless Sensor Network
Vehicle-2-Vehicle Communication Based on Wireless Sensor Network
 
Integrated Intelligent Transportation Systems (ITS)
Integrated Intelligent Transportation Systems (ITS)Integrated Intelligent Transportation Systems (ITS)
Integrated Intelligent Transportation Systems (ITS)
 
Artificial intelligence in transportation system
Artificial intelligence in transportation systemArtificial intelligence in transportation system
Artificial intelligence in transportation system
 
Challenges and complexities in application of LCA approaches in the case of I...
Challenges and complexities in application of LCA approaches in the case of I...Challenges and complexities in application of LCA approaches in the case of I...
Challenges and complexities in application of LCA approaches in the case of I...
 
Truck Platooning at TTI
Truck Platooning at TTI Truck Platooning at TTI
Truck Platooning at TTI
 
Intoduction to ITS
Intoduction to ITSIntoduction to ITS
Intoduction to ITS
 
Service oriented space-infrastructures_brown_university_2014_lisi
Service oriented space-infrastructures_brown_university_2014_lisiService oriented space-infrastructures_brown_university_2014_lisi
Service oriented space-infrastructures_brown_university_2014_lisi
 

Similar to Sustainable Transportation System

Data Security Approach in Cloud computing using SHA
Data Security Approach in Cloud computing using SHAData Security Approach in Cloud computing using SHA
Data Security Approach in Cloud computing using SHA
IRJET Journal
 
Cognizant Cloud for Utilities
Cognizant Cloud for UtilitiesCognizant Cloud for Utilities
Cognizant Cloud for Utilities
Steve Lennon
 
Cloud computing managing
Cloud computing managingCloud computing managing
Cloud computing managing
Universiti Putra Malaysia
 
RECAP Project Overview
RECAP Project OverviewRECAP Project Overview
RECAP Project Overview
RECAP Project
 
IVC DOC-20230921-WA0004..pdf
IVC DOC-20230921-WA0004..pdfIVC DOC-20230921-WA0004..pdf
IVC DOC-20230921-WA0004..pdf
NanDhu551039
 
Data Centre Network Optimization
Data Centre Network OptimizationData Centre Network Optimization
Data Centre Network Optimization
IJAEMSJORNAL
 
Multiagent multiobjective interaction game system for service provisoning veh...
Multiagent multiobjective interaction game system for service provisoning veh...Multiagent multiobjective interaction game system for service provisoning veh...
Multiagent multiobjective interaction game system for service provisoning veh...
redpel dot com
 
Cloud computing for Smart City
Cloud computing for Smart CityCloud computing for Smart City
Cloud computing for Smart City
PT KOTA CERDAS INDONESIA
 
Cloud computing for Smart City
Cloud computing for Smart CityCloud computing for Smart City
Cloud computing for Smart City
Fanky Christian
 
Cloud computing
Cloud computingCloud computing
Cloud computing
Ripal Ranpara
 
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
ijbuiiir1
 
MetroX™ – Mellanox Long Haul Solutions
MetroX™ – Mellanox Long Haul SolutionsMetroX™ – Mellanox Long Haul Solutions
MetroX™ – Mellanox Long Haul Solutions
Mellanox Technologies
 
Architecture & data acquisition by embedded systems in automobiles seminar ppt
Architecture & data acquisition by embedded systems in automobiles seminar pptArchitecture & data acquisition by embedded systems in automobiles seminar ppt
Architecture & data acquisition by embedded systems in automobiles seminar ppt
Ankit Kaul
 
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
ijcnes
 
Techniques to Minimize State Transfer Cost for Dynamic Execution Offloading I...
Techniques to Minimize State Transfer Cost for Dynamic Execution Offloading I...Techniques to Minimize State Transfer Cost for Dynamic Execution Offloading I...
Techniques to Minimize State Transfer Cost for Dynamic Execution Offloading I...
IJERA Editor
 
A Case Study On Implementation Of Grid Computing To Academic Institution
A Case Study On Implementation Of Grid Computing To Academic InstitutionA Case Study On Implementation Of Grid Computing To Academic Institution
A Case Study On Implementation Of Grid Computing To Academic Institution
Arlene Smith
 
IND3: Predix for Transportation (Predix Transform 2016)
IND3: Predix for Transportation (Predix Transform 2016)IND3: Predix for Transportation (Predix Transform 2016)
IND3: Predix for Transportation (Predix Transform 2016)
Predix
 
LTE MTC evolution
LTE MTC evolutionLTE MTC evolution
LTE MTC evolution
Harish Vadada
 
TIA sdn transport_2_shukla_final
TIA sdn transport_2_shukla_finalTIA sdn transport_2_shukla_final
TIA sdn transport_2_shukla_final
Deborah Porchivina
 
Asset information and data management smart rail
Asset information and data management smart railAsset information and data management smart rail
Asset information and data management smart rail
James Nesbitt
 

Similar to Sustainable Transportation System (20)

Data Security Approach in Cloud computing using SHA
Data Security Approach in Cloud computing using SHAData Security Approach in Cloud computing using SHA
Data Security Approach in Cloud computing using SHA
 
Cognizant Cloud for Utilities
Cognizant Cloud for UtilitiesCognizant Cloud for Utilities
Cognizant Cloud for Utilities
 
Cloud computing managing
Cloud computing managingCloud computing managing
Cloud computing managing
 
RECAP Project Overview
RECAP Project OverviewRECAP Project Overview
RECAP Project Overview
 
IVC DOC-20230921-WA0004..pdf
IVC DOC-20230921-WA0004..pdfIVC DOC-20230921-WA0004..pdf
IVC DOC-20230921-WA0004..pdf
 
Data Centre Network Optimization
Data Centre Network OptimizationData Centre Network Optimization
Data Centre Network Optimization
 
Multiagent multiobjective interaction game system for service provisoning veh...
Multiagent multiobjective interaction game system for service provisoning veh...Multiagent multiobjective interaction game system for service provisoning veh...
Multiagent multiobjective interaction game system for service provisoning veh...
 
Cloud computing for Smart City
Cloud computing for Smart CityCloud computing for Smart City
Cloud computing for Smart City
 
Cloud computing for Smart City
Cloud computing for Smart CityCloud computing for Smart City
Cloud computing for Smart City
 
Cloud computing
Cloud computingCloud computing
Cloud computing
 
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
 
MetroX™ – Mellanox Long Haul Solutions
MetroX™ – Mellanox Long Haul SolutionsMetroX™ – Mellanox Long Haul Solutions
MetroX™ – Mellanox Long Haul Solutions
 
Architecture & data acquisition by embedded systems in automobiles seminar ppt
Architecture & data acquisition by embedded systems in automobiles seminar pptArchitecture & data acquisition by embedded systems in automobiles seminar ppt
Architecture & data acquisition by embedded systems in automobiles seminar ppt
 
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...
 
Techniques to Minimize State Transfer Cost for Dynamic Execution Offloading I...
Techniques to Minimize State Transfer Cost for Dynamic Execution Offloading I...Techniques to Minimize State Transfer Cost for Dynamic Execution Offloading I...
Techniques to Minimize State Transfer Cost for Dynamic Execution Offloading I...
 
A Case Study On Implementation Of Grid Computing To Academic Institution
A Case Study On Implementation Of Grid Computing To Academic InstitutionA Case Study On Implementation Of Grid Computing To Academic Institution
A Case Study On Implementation Of Grid Computing To Academic Institution
 
IND3: Predix for Transportation (Predix Transform 2016)
IND3: Predix for Transportation (Predix Transform 2016)IND3: Predix for Transportation (Predix Transform 2016)
IND3: Predix for Transportation (Predix Transform 2016)
 
LTE MTC evolution
LTE MTC evolutionLTE MTC evolution
LTE MTC evolution
 
TIA sdn transport_2_shukla_final
TIA sdn transport_2_shukla_finalTIA sdn transport_2_shukla_final
TIA sdn transport_2_shukla_final
 
Asset information and data management smart rail
Asset information and data management smart railAsset information and data management smart rail
Asset information and data management smart rail
 

Recently uploaded

How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
CatarinaPereira64715
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
DianaGray10
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 

Recently uploaded (20)

How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 

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