Cloud computing for agent based urban transportation system
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This document proposes a cloud computing system for agent-based urban transportation management. It discusses how previous traffic management systems were centralized and inefficient. The proposed system uses location-based software agents that communicate with a cloud-based strategic traffic manager to store data and strategies. This allows real-time traffic updates and route recommendations to be provided to commuter applications on mobile devices, without storing data on the devices themselves. Key modules include the agents, commuter apps, and cloud-based strategic manager. Future work includes developing Android apps for agents and commuters to take advantage of widespread mobile access.
Cloud computing for agent based urban transportation system
- 1. Cloud Computing for agentbased Urban transportation system Sujeet Poojari.
- 3. Introduction Analysis 1 1960: •Time of MainFrames. •Traffic management shared the resource of one computer in a centralised model.
- 4. Analysis 1 • Later,the size minituarised and TRANSYT model came. • An example:”SCOOT”
- 5. Analysis 1 • • • • • SCOOT consisted of numerous single control points. Disadvantage: Time Consuming Expensive ,so was Mainframe. Less Efficient.
- 6. Analysis 2 • LAN (Ethernet) introduced. • Hierachical model. 1973:
- 7. Analysis 2 Internet Era(2000s)+LAN: Disavantage: •Internet era caused lot of bandwidth wastage. •Data space also was wasted as each device had its independent data stored.
- 8. Analysis 3 • Agents: • Agents were introduced. • Direct communication to Web Server. • So Communication costs and time reduced.
- 9. Analysis 4 • Cloud Computing(2010): • Is a technique where the cloud(web server) stores all the necessary data and softwares. • The front-ends are given a virtual interface of communicating with the data without themselves containing the data. • the details of the infrastructure in the “clouds” are hidden. • Eg:DropBox,Google Docs in Gmail etc.
- 10. Cloud Computing for Traffic management • Location-based Agents. • PtMS(Parallel transportation Management System). • Agents donot have to carry data storage. • Cloud will contain all the traffic based data and strategies in its databases.
- 11. Cloud Computing for Traffic management • The commuters (travellers) will be updated with traffic route choices and Strategies. • The commuters will also be informed about temperature. • Infact , commuters can upload the cloud with occurences (accidents) and neccessary actions can be taken.
- 12. Different modules 1.Agents: •autonomous, mobile, and adaptive • Authorized middleware applications. •Location-based. 2.Commuters: •Other front-end application. •Travellers who are mobile.
- 13. Different modules 3. Strategic Manager: •Remote based Application at the cloud. • Handles the agents , adds and deletes agents. •Checks authenticity of agents. •Maintains multiple kinds of database for storing various traffic strategies.
- 14. Flow Diagrams: •Activity Diagram •Sequence Diagram
- 15. Activity Diagram C itizen Subscri be to traffi c alerts Agen t System login select locati on update traffic in formation Traffic Strategy Man ager analy se traffi c data alert th e su bscribers create new traffi c rou te update th e subscriber
- 16. Sequence Diagram: Citizen Traffic Strategy Manager Agent System 1: subscribe to traffic alerts 2: check user validity 3: subscription successful 4: login 5: check agent validity 6: login successful 7: update traffic information 8: store the information in db 9: analyse data according to location 10: alert the subscriber 11: create new traffic route 12: update the subscriber
- 17. Software requirements: 1. Back –end: Strategic manager :SQL Server with a PHP browser interface. Java Database Connectivity(Jdbc driver). 2. Front-end: • Front-end commuters : Android application designed by using Eclipse IDE on windows. • • The Agent application will be Android application
- 19. Future Scope • Smart phones are owned by everyone today. • Access have become speedy. • Android is the new popular OS ,and will exist for years to come. • A software-controlled traffic management and Mobile-user friendly application.
- 20. Conclusion