Smart Traffic: A Case Study for Developing IoT Application

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

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

Smart Traffic at HCMUT

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http://traffic.hcmut.edu.vn/

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

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

S4STRD Architecture

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API

Application ApplicationApplication

Client side

RAM store

Disk-based store

Buffer

Disk Disk Disk

Server side

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

3

4

5

6

7

MongoDB S4STRD

Late

ncy

(m

icro

seco

nd

)

Read performance

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

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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