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John K.S. Lau & C.K. Tham & T. Luo
E-mail: {elelksj, eletck, eleluo}@nus.edu.sg
Participatory Cyber Physical
System in Public Transport
Application
IEEE/ACM UCC’11 International Workshop of Cloud
Computing and Scientific Applications (CCSA 2011)
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
Motivation
•How to enrich travel experience thereby increase
public transport ridership?
• How to obtain data if transit agencies are either
incapable or reluctant?
2
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
Contributions
•ContriSenseCloud
– Participatory cyber physical system.
•ContriSense:Bus
– Application on ContriSenseCloud.
– Application on Android smartphones.
•RESTful API
– Data as a service.
•NTRS and S2B algorithms
– Complements GPS trajectory database and MATE
algorithm.
3
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
ContriSenseCloud Architecture
4
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
ContriSense:Bus Architecture
5
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
Cyber Physical Society
6
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
RESTful API
7
http://example.com/xchange/api/view/1
http://example.com/xchange/api/view/1/5
http://example.com/xchange/api/view/1/5/2
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
NTRS and S2B Algorithms
8
NTRS
GPS
Trajectory
Database
MATE
S2B
Real
World
Us
RESTful
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
User-contributed Traces
9
Legend
Balloon – Bus stop (node)
Red line – Actual
Green line – Mapped
NUS
D1/D2
95
190 196
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
Services in ContriSense:Bus
10
XML
JSON
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
Performance Measurements
11
Latency(s)
No. of travel time queried
Latency(s)
No. of concurrent users (queries)
No. of concurrent users (API calls)
Latency(s)
Latency(s)
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
Future Works
•Integrating closed-loop incentive scheme for supply
and demand valuation.
•Improving S2B algorithm so that Kmax and Kmin are
adaptive.
•Introducing load balancing for higher scalability.
12
Participatory Cyber Physical System in Public Transport Application
JKS Lau, CK Tham, T Luo
THANK YOU
Questions?
13

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Participatory Cyber Physical System in Public Transport Application

  • 1. John K.S. Lau & C.K. Tham & T. Luo E-mail: {elelksj, eletck, eleluo}@nus.edu.sg Participatory Cyber Physical System in Public Transport Application IEEE/ACM UCC’11 International Workshop of Cloud Computing and Scientific Applications (CCSA 2011)
  • 2. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo Motivation •How to enrich travel experience thereby increase public transport ridership? • How to obtain data if transit agencies are either incapable or reluctant? 2
  • 3. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo Contributions •ContriSenseCloud – Participatory cyber physical system. •ContriSense:Bus – Application on ContriSenseCloud. – Application on Android smartphones. •RESTful API – Data as a service. •NTRS and S2B algorithms – Complements GPS trajectory database and MATE algorithm. 3
  • 4. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo ContriSenseCloud Architecture 4
  • 5. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo ContriSense:Bus Architecture 5
  • 6. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo Cyber Physical Society 6
  • 7. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo RESTful API 7 http://example.com/xchange/api/view/1 http://example.com/xchange/api/view/1/5 http://example.com/xchange/api/view/1/5/2
  • 8. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo NTRS and S2B Algorithms 8 NTRS GPS Trajectory Database MATE S2B Real World Us RESTful
  • 9. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo User-contributed Traces 9 Legend Balloon – Bus stop (node) Red line – Actual Green line – Mapped NUS D1/D2 95 190 196
  • 10. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo Services in ContriSense:Bus 10 XML JSON
  • 11. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo Performance Measurements 11 Latency(s) No. of travel time queried Latency(s) No. of concurrent users (queries) No. of concurrent users (API calls) Latency(s) Latency(s)
  • 12. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo Future Works •Integrating closed-loop incentive scheme for supply and demand valuation. •Improving S2B algorithm so that Kmax and Kmin are adaptive. •Introducing load balancing for higher scalability. 12
  • 13. Participatory Cyber Physical System in Public Transport Application JKS Lau, CK Tham, T Luo THANK YOU Questions? 13

Editor's Notes

  1. MATE = Mining-based Algorithm for Travel time Evaluation