Smart Traffic: A Case Study for Developing IoT Applications in Vietnam. Tran Vu Pham and Duc Hai Nguyen

Transcription

1 Smart Traffic: A Case Study for Developing IoT Applications in Vietnam Tran Vu Pham and Duc Hai Nguyen Faculty of Computer Science and Engineering Ho Chi Minh City University of Technology VNU-HCM

2 Outline Introduction: Smart Traffic at HCMUT Opportunities and Challenges Solutions Future work Conclusion HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 2

3 Introduction Transportation development does not keep up with economic and population growth. HCMC in 2015: > 8 million people > 7 million motorbikes Traffic congestion becomes a major concern. Traffic in HCMC: No. vehicles increases ~10%/year Street capacity increases ~2%/year HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 3

4 Existing Solutions Building temporarily steel bridges Installing surveillance cameras Broadcasting traffic condition via Radio HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 4

5 Smart Traffic at HCMUT HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 5

6 Opportunities Management point of view Receive a lot of support and motivation from different management levels of the city. Have access to sensing data. Calculation results are tested and used in realistic conditions. Technical point of view Applications of IoT and ITS technologies are still new in Vietnam Transportation in Vietnam has some unique characteristics A lot of rooms for new applications and research ideas HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 6

7 Challenges High volume of data Sensing data are collected continuously from multiple sources. High sample rate is required to deliver high accuracy calculations Real-time processing Required for instant actions Strict deadline Unreliable network infrastructure Long delays Packet losses HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 7

8 Smart Traffic at HCMUT An overview Our concerns Raw dataset Smart Traffic at HCMUT HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 8

9 Real-time Processing Challenges Huge data, short deadline Continuous processing Solutions for Smart Traffic Parallelization is the key Develop a high performance storage system for quickly putting and getting records HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 9

10 Characteristics of Sensing Data Spatial distribution Temporal distribution HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 10

11 S4STRD Architecture Client side Application Application Application API Server side RAM store Buffer Disk-based store Disk Disk Disk 07 Jan 2016 HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 11

12 throughput (thousand record/s) Latency (microsecond) S4STRD Performance Results from experiments on a cluster of three machines connected by Ethernet 1 Gbps Write performance Read performance MongoDB S4STRD (with synchronization) S4STRD (without synchronization) 0 MongoDB S4STRD HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 12

13 Other Challenges Low data utilization Usable data account for < 17% How to evaluate computation results Multiple data sources with different confident factors 38% 17% 7% Need for a standard measurement that we can trust Usable Invalid 38% Miss deadline Noisy records HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 13

14 Future Work Improve data utilization Correction algorithms Filter, fusion modules Develop a method to evaluate our estimation Multiple data source with different confident factors Decision making problems Need for a standard measurement that we can trust Expand the system: Real-time routing finding Integrate into social networks HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 14

15 Conclusions Smart Traffic Involves moving sensing devices, different types of networking infrastructure Big and real-time data analytics Aim at a very large community Our contributions Give insight into development of IoT applications in Vietnam Solutions can be reused in other similar applications HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 15

16 The End Thanks for listening. HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 16