smart traffic: a case study for developing iot application
TRANSCRIPT
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Smart Traffic: A Case Study for Developing IoT Applications in
Vietnam
Faculty of Computer Sc ience and Engineer ing
Ho Chi Minh City Univers i ty of Technology
VNU-HCM
Tran Vu Pham and Duc Hai Nguyen
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Outline• Introduction: Smart Traffic at HCMUT
• Opportunities and Challenges
• Solutions
• Future work
• Conclusion
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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
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Existing Solutions
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Building temporarilysteel bridges
Installing surveillancecameras
Broadcasting traffic conditionvia Radio
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Smart Traffic at HCMUT
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http://traffic.hcmut.edu.vn/
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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
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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
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Smart Traffic at HCMUTAn overview
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Raw dataset
Smart Traffic at HCMUT
Our concerns
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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
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Characteristics of Sensing Data
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Spatial distribution Temporal distribution
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S4STRD Architecture
07 Jan 2016 HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY 11
API
Application ApplicationApplication
Client side
RAM store
Disk-based store
Buffer
Disk Disk Disk
Server side
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S4STRD Performance
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Results from experiments on a cluster of three machines connected by Ethernet 1 Gbps
0
20
40
60
80
100
120
140
MongoDB S4STRD(with synchronization)
S4STRD(without
synchronization)
thro
ugh
pu
t (t
ho
usa
nd
rec
ord
/s)
Write performance
0
1
2
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7
MongoDB S4STRD
Late
ncy
(m
icro
seco
nd
)
Read performance
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Other Challenges• Low data utilization
• Usable data account for < 17%
• How to evaluate computation results• Multiple data sources with different
confident factors
• Need for a standard measurement that we can trust
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17%
7%
38%
38%
Usable Miss deadline
Invalid Noisy records
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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
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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
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The End
Thanks for listening.
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