Traffic congestion has become one of the largest annoyances to countries like the United States and China when it comes to economic competitiveness, livability, safety, and long-term environmental sustainability. Congestion on freeways and roads is a major component of and contributor to delay. Emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), and connected vehicles provide opportunities to mitigate traffic congestion. As one of the largest technology providers in China, Asiainfo Data is leading a city-scale Smart Transportation project in City of Wuxi, one of the national centers for IoT innovation in China. In this talk, we would like to share our real-world experiences in using AI and big data technologies to implement cutting-edge technologies transformation of Wuxi’s transportation systems. In this project, we collaborate with China Telecom, the Traffic Management Research Institute, smart vehicle makers, and many influential researchers on traffic management worldwide. We will showcase scenarios on public transportation prioritization, car-road coordination, and region-wide traffic signal optimization by utilizing AI modeling and the most advanced IoT technologies. Speaker Jian Chang, AsiaInfo, Chief Technology Officer

1. AI-Enabled Smart Transportation At City
Scale
Jian Chang, Jin Yu
AsiaInfo

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Transportation Problems Faced by People & Business
People:
• Traffic Congestion, Temporary Road
Blocking, Accidents
• Insurance, Traffic Tickets, Smog Checks
• Public Transportation: Separate Payment
System,Long Waiting Time
• Business
• Demand and Supply Optimization
• Pricing, Pollution
• Public Transportation Safety

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Big Data & AI as National Strategy
• The state council has released the national
strategy for the AI, Big-data and IoT:
– Build a new model of social governance with
precise governance and multi-party
coordination
– Build a new system of transportation services
that will benefit all
– Form a new pattern fro driving mass innovation
and entrepreneurship in transport applications
– Foster a new ecological environment for the
development of smart transport industries

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Wuxi – Nexus of IoT and AI
• Wuxi is the national center for sensor
network innovation and the national
intelligent transportation industrial park
• Fostering transportation enterprises and
talent in the Internet of Things and AI,
industry developed, at the same time,
Internet+, big data, and Internet
application technology
• Wuxi city, as the first pilot city of national
smart city, and automotive electronic
identification (RFID) application.

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Wuxi – World IoT Exposition
More than 500 companies and institutions from more than 20 countries and regions:
Microsoft, Intel, Bosch, Siemens, Ericsson, Nokia, Dell, ARM, SAP, as well as China
Telecom, China Mobile, China Unicom, CLP, Huawei, Alibaba, Tencent, and other world
famous enterprises will focus on the present generation of Internet of Things with the
latest technology and products.

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Wuxi – Nexus of IoT and AI
1. Advantages: strong research and development capabilities
2. Responsibilities: demand research + project management
+ coordination + technology + operation + promotion
1. Advantages: covering the national basic network,
communication service capacity;
2. Responsibilities: network integration + resource
promotion
1. Advantages: the public security management industry
standard setters, leading public security traffic management;
2. Responsibilities: planning design + industry standard
formulation + application innovation guidance

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City-Scale Example - London

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City-Scale Example – Shared Bicycles
Manufacturers
Telco Operators
User
Platforms
• Shared bicycle ecological system: the precisely capture supply–demand &
space-time characteristics, can greatly enhance the level of service and
operational efficiency, comparing with the traditional mode

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Smart Transportation Ecosystem

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Functional Architecture
Smart Transportation
Administration System
Smart Transportation
Applications and Portal
Public
Safety
Smart
City
Internet+
Police Government Citizen Business
Domains Operation
Research
Patents
Data
Service
…….
Big Data Center and City Brain
Information Collection (IoT)

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AI Application in Transportation
Many cameras used in various
scenarios of traffic management

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AI Application in Transportation
Previously: 7 Letters Now: Hundreds of Dimensions
E922E6

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AI Application in Transportation
 Artificial neural network
is the building block
 Mimic human brain
 High depth and width
 Heterogeneous computing
(CPU + GPU)
• Google “Brain” （2012）
• IBM “Waston” （2015）
• NVIDIA DGX-1 (2016)

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AI Application in Transportation
7000+
Types
10+Color/9 Categories
Cover 99%+ vehicles
on Road, Accurancy >
95%
10+
FeaturesSkylight, annual check
mark, pendant, paper
box, car lamp,
rearview mirror, entry
card, mirror, spare tire

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AI Application in Transportation
 Locate and identify faces, such as face recognition by drivers.
 Human face positioning, face key detection, face recognition, face
verification and other functions.

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AI Application in Transportation
• Detect pedestrians in the
video, and can accurately
identify the pedestrian
clothing color, clothing style,
gender, age, hair style,
presence of backpack,
ethnic, and other 10 types
of identification information.
• The detection accuracy is
over 99%
• Feature recognition
accuracy is over 90%

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Project Highlight
e-Plate
using RFID
Portal
Apps
V2X
Experiments

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Project Highlight
e-Plate
using RFID
Portal
Apps
V2X
Experiments

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RFID-base E-Plate
• Motivation: the identification of vehicle is difficult for dynamic vehicle flow. The traditional way is to set up
roadblocks and stop check point, which is not ideal for highway, etc.
• Electronic Registration Identification of the motor vehicle (ERI) - the identity of vehicles in the cyber space.
• Based on Radio Frequency Identification (RFID) technology
• Automatic, non-contact, non-stop for vehicle identification verification and monitoring

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RFID-base E-Plate
• Security: Each RFID tag has a
unique ID number. It can be
used to store other important
vehicle information. All
information is encrypted in
the tag.
• Each tag can only be installed
once.Special technologies are
used to manufacture the tag
to avoid the transfer of tags
from one vehicle to another,
to ensure the integrity of the
vehicle-tag binding.

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RFID-base E-Plate
The city has completed the electronic identification
of 25,000 vehicles, including trucks, taxis, buses and
other vehicles. At the same time, finished
installation of more than 170 sets of RFID reading
and writing equipment, covering most of the key
intersections of the city.

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RFID-base E-Plate
• Fake vehicle plate identification.
• The identification of illegal road usage.
• Vehicle trajectory tracking.
• Dynamic traffic information collection.
• Bus lane identification and bus priority.
• Core area congestion charge collection.
• Traffic distribution and traffic planning.

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Project Highlight
e-Plate
using RFID
Portal
Apps
V2X
Experiments

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Portal App – Public Transportation

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Portal App – Vehicle Administration

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Portal App – Transportation Nexus

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Portal App – Transportation Nexus

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Project Highlight
e-Plate
using RFID
Portal
Apps
V2X
Experiments

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Motivation for Vehicular Communication
• The main goal of Vehicular Communication is convenient and safe.
• Vehicles have … (differs from personal comm.)
– Enough power
– Large space
– Predictable and high-speed mobility
• Use communication for new services
– Collision warning
– Up-to-date traffic information
– Active navigation services
– Weather information
Roadside Equipment to
handle communications

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LTE-V2X Experiments
• Two technologies come in question for vehicle communication:
– Dedicated Short Range Communication (DSRC), the name implies that this technology
enables cars to communicate with other vehicles within a short range. DSRC is widely
spread in Europe and the US, latter have already reserved the radio frequency 5,9 GHz for
the communication standard.
– LTE technology, popular because of its use in mobile communications. LTE 4G is already
rife in many countries and is constantly improved. By 2020, according to the
telecommunication industry, 5G LTE will be available. The automotive industry is also
working on the 5G Standard and has founded an association. Latter consists of popular
industry players such as Audi, BMW, Deutsche Telekom, Mercedes-Benz, Ericsson,
Huawei, Intel, Nokia, Qualcomm, SK Telekom, Valeo, Verizon and Vodafone.

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LTE-V2X Experiments
• We collaborate with China mobile,
Huawei, Audi (China) and Wuxi
police department to run a pilot
experiments of LTE-V2X connected
vehicles in Wuxi.
• The pilot experiment focuses
on ”Road-Vehicle Coordination"
using V2I technology and
"Emergency Brake, Crossing
Collision Avoidance" using V2V
technology.

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LTE-V2X Experiments
• On the V2I aspect, with installed
intelligent rearview mirror to have real-
time intersection with the traffic light
controller infrastructure. And having
traffic signal information timely and
accurately delivered to drivers, which
can help drivers to improve the overall
perception of the road.
• Real-time sharing of traffic control and
event information. In case of road
construction, temporary traffic control,
traffic accident and traffic jam, the
information of early warning can be
obtained on the dashboard.

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Task
Acceptance
Plan
Creation
Plan
Deployment
Plan
Monitoring
Green
Wave
Car-Road Coordination Use Case

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LTE-V2X Experiments
• On the V2V aspect, the specific demonstration
scenario includes a brake/near real-time alert.
The intelligent vehicle will be alerted when the
vehicle before braking or the vehicle behind
approaching.
• Early warning of traffic collusion. In the
process of approaching vehicle at the
intersection, an alert message will be pushed
to the driver.
• Priority access services. In the case of parallel
overtaking or special vehicle, the driver can
send priority to the vehicle in front to alert
each other.

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Thank You