Data-Driven Intelligent Transportation (D2ITS) Systems

Rayan Nouh Dankook UniversityNov.2015

Survey

Junping Zhang, Member, IEEE, Fei-Yue Wang, Fellow, IEEE, Kunfeng Wang,Wei-Hua Lin, Xin Xu, and Cheng Chen

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Outlines

Background

What is (ITS) ?

Potential Research in D2ITS

Data Classified in D2ITS

Framework of D2ITS

Critical Challenges in ITS

Why Data-Driven (D2ITS) ?

Conclusion

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1. Junping Zhang, Member, IEEE, 2. Fei-Yue Wang, Fellow, IEEE,3. Kunfeng Wang,4. Wei-Hua Lin, 5. Xin Xu, 6. Cheng Chen

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 12, NO. 4, DECEMBER 2011

Authors

On this paper focuses on some of the key components of D2ITS.

I. Development of D2ITS.II. Discussing the functionality of D2ITS.III. Discussing some deployment issues

associated with D2ITS.IV. Future research for the development of D2ITS

Background

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Background

Intelligent Transportation Systems (ITS) have emerged as an efficient way of

improving the performance of transportation systems, enhancing travel security,

and providing more choices to travelers.

The power of high technology such as IoT , data mining, big data and could

computing, make a significant change in ITS which is collected that much more

data from a variety of sources and can be processed into various forms to different

stakeholders.The availability of a large amount of data changing the ITS from a conventional technology-driven system into a more powerful multifunctional data-driven intelligent transportation system (D2ITS)

Wireless network offers a powerful and transformative opportunity to improving transportation connectivity that further enables cooperative systems and dynamic data exchange using a broad range of advanced systems and technologies .

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What is (ITS) ?

Transport Safety

Transport Productivity

Travel Reliability

Informed Travel

Choices

Environmental

Performance

Integrated application of advanced Technologies using computers, communications, and advanced sensors to address the transportation problems .

Provide important information to travelers with improving the safety and efficiency of the transportation system .

Infrastructure can be categorized based upon the implemented application of the technology

ITS

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Why (ITS)? Transportation systems are a very important part of human activities..Estimated average of 40% of the population spends at least 1 h on the road each day..

Efficient way to improving the performance of transportation systems..Enhancing travel security..

Save time and money..

ITS

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Technology in ITS

Inductive Loop Detection & Sensing Technologies

Video Vehicle Detection

Wireless Communications

Computational Technologies

Floating Car Data/ Cellular Data

ITS

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Critical Challenges of ITS

Traffic Congestio

n increased everyday..

Social Security

Productivity &

International

Competition

,More Noise

increased Air

pollution..

Use more fuel..

Effect Human Health

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Why(D2ITS) ?Data-Driven Intelligent Transportation System

“IoT” opened new opportunities to make the existing transportation

network far more efficient and user friendly.

Power of multifunctional system use data-driven intelligent transportation

system .

Multisource real time traffic control

Learning algorithm driven to optimize the traffic performance.

Directly UI user interface with people and users of transportation systems.

Digital-age of transportation.

D2ITS

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Framework of D2ITS.

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Optimize ITS to (D2ITS)

D2ITS Use the Power of Current Data!!

D2ITS generate new functions and services in ITS

Data collected from multiple sources will play the key role in ITS.

Data realize and extend the performance of current (ITS) system.

D2ITS

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Six Primary Components in ITS

Advanced urban

transportation systems

Advanced public

transportation

systems

Business vehicle manage

ment

Advanced transportati

on managemen

t systems

Advanced vehicle control systems

Advanced traveler

information systems

The functions of these components can fully be realized depends on how data are collected and processed into useful

information .

(D2ITS) will realize and extend the functions of the six fundamental

components of ITS.

ASIS

To Be

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Data classified & Process in D2ITS Vision-Driven

MultiSource-Driven

Learning-Driven

Whi

ch is

the

mai

n co

mpo

nent

of D

2ITS

,

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Data classified in D2ITS

Complementary in D2ITS

Vision-Driven

Multisource-Driven

GPS Laser Radar

seismic Sensor

Ultrasonic

Sensor Mobile

Network Meteorolo

gical sensor

others

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Data classified in D2ITS

Vision-Driven ITS

Vision-Based Devices which is recently generated huge data such as:

1. Video and Sensors cover a large group of information that can reflect, in the most direct way, status of transportation systems can be used to detect on time-notification, e.g., in case of vehicles accident, an important feature for ITS.

2 . Large number of applications in ITS are implemented with vision-driven technologies, where input data are collected from video sensors, and output is used for related applications in ITS.

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Data classified in D2ITS A. Vision-Driven ITS 1. Tracking traffic object, vehicle and

walking detection..2. Car license plates..3. Vehicle density..4. Traffic sign detection..5. Lane tracking..6. Traffic behavior analysis..7. Statistical traffic data analysis..

B. Multisource-Driven ITS 1. Inductive-loop detectors..2. Laser radar..3. GPS system..4. Mobile network

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Module Process Data Learning-Driven : D2ITS will use both real-time and historical data, some different

modules can be helpful to used in learning-driven ; Online Learning, Data Fusion, Rule Extraction and Adaptive Dynamic Programming ADP-Based Learning Control..

Vision-Driven Multisource-Driven

Learning-Driven

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in D2ITS Learning-Driven-Data Process

Process Module

Online Learningused for traffic control, particularly for real-time traffic control and transportation system analysis.

Data Fusioncan effectively use multi source driven to better analyze and predict traveler behavior and traffic dynamics.

Rule ExtractionThis function use to explore the relationship between the type of roads and specific types of traffic accidents to analysis and predict the traffic network flow.

ADP-Based Learning ControlAdaptive Dynamic Programming this function will provide a basic tool to releasing D2ITS with online learning and performance optimization in dynamic uncertain conditions.

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Roadmap & Future Directions (D2ITS) A roadmap for future directions for the development and deployment of D2ITS is described, emphasizing the privacy-preserving, people-centric and scenario-oriented aspects of the system components in D2ITS.

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Potential Research in D2ITSStatistical analysis of the number of papers related to the D2ITS.

The result shows the following observations: 1) Vision and learning-driven ITS have received much attention from researchers2) the number of papers related to learning issues around 23 research, and only 4of

these papers are closely related to the development of ITS .

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Conclusion

I. D2ITS is a very important field that can provide more functions and services to improve our transportation systems.

II. D2ITS collect amounts of data from various sources to analyze and help with planning, rerouting of traffic, providing real-time updates.

III. D2ITS create system that is constantly being optimized based on current and future (predictive analysis) conditions.

Thanks… Rayan Nouh Dankook UniversityNov.2015