China Bus System of the Future

1. C BS F
CHINA BUS SYSTEM of the FUTURE
Chief Scientist: Jun Steed Huang
Email: huangj@mail.sustc.edu.cn

2. CBSF PROJECT DESCRIPTION
2
CHINA BUS SYSTEMof the FUTURE (CBSF) INITIATIVE, an Autonomous Public Bus project, is a Central Government
level project directly led by Intelligent Transport System China (ITSC), implemented by Shenzhen Industrialization
Incubation and Demonstration Base, aims to develop a complete Intelligent Autonomous New Energy Public Bus System
Eco Solution. ITSC has appointed HAYLION to be the Technology Development Enterprise Lead, Shenzhen Public Bus
Group to be the Autonomous Public Bus Operation and Commercialization Base, and renowned companies like TianMai
Technologies, AnKai Bus, SuTengJuChuang, etc. to be the suppliers of the CBSF initiative, planning to launch trial
operations in numerous areas like Shenzhen South University of Science and Technology of China, Shenzhen
University, Overseas Chinese Town East, Futian Free Trade Zone, etc.

3. CBSF Overall Framework
3
Shenzhen Trial Base
Research &
Production
Testing &
Trial
Promotion
Shenzhen, Guangzhou, Guizhou, Wuhan
Beijing, etc.
New
Energy
Artificial
Intelligent
Wireless
Charging
V2I/V2V
System
Infra
Structure
Internet
Based
Operation
Bus manufacturers, Technology Partners, Public Bus
Operators, Govt Dept, Universities, etc
1 MAIN CORE
3 MAIN
FUNCTIONS
5 Key
Technologies
10 Cities
Numerous
Partners
C
B
S
F

4. HAYLION 3 Core Segments
4
CTSFHEBS
CBSF
Intelligent
Network
Enable
Electrification
中国新能源智能重 系 （自卡 统 动驾驶卡
）车
China TruckSystem of the Future
混合 力公交系动 统
Hybrid Electrical Bus System
中国下一代新能源智能公交系 （自 公交）统 动驾驶
China Bus System of the Future

5. 5
GPS+Inertia
Navigation
Image Processing
based on Deep Learning
& Heterogeneous
Computing
Image Processing
based on Persceptive
Re-construction &
Sequential Patterns
Analysis.
Radar signal processing
& Data Correlation
Filtering
Point Cloud Data
Processing based on
Unsupervised
Clustering Analysis
Multi-Sensor Input
Fusion based on Multi-
Mode Spatiotemporal
Filtering & Structured
Stochastic Decision
Theory
Internet based
V2X
Target
Parameters
• Type
• Timestamp
• Dimension
• Velocity
• Position
• Direction
• ……
Ethernet
Interface
UDP
Protocol
Raw Perceiption
Data
Modular
Inspection Data
Fused Target Data
Camera3D-CammmRadarLiDAR
Undercomplex driving environment, technologies to capture, inspect and trackdynamic targets
Autonomously orAssisted, must be precise, accurate, robust and real-timed.
AlphaBus Technology Roadmap PCT Patent-pending

6. Key Technologies
Environment Cognition
Environment Memory
Positioning
AI Autonomous Decision
Cooperative Control based on MPC
Precision Execution
Safety Lines Architecture
Mantis Life Line Architecture
Fish Life Line Architecture Target Perception

7. 7
Key Technology: Safety Lines Architecture
60 meters laser
someone
30 meters
radar
10 meters
visual
5 meters purple
2 meters ultrasound
Action Message
Hands and foot brakes Half a meter touch someone
Maximum brake 2 meters ultrasound someone
Ordinary brakes 5 meters purple someone
Point brakes to remind 10 meters visual someone
Deceleration 50% 30 meters radar someone
Deceleration 25% 60 meters laser someone
Deceleration 12.5% 90 meters wireless someone
Cruise no case
90 meters
wireless
EPS
GPS
IMS
EBS
Fusion
Perceived
0.5 meter touch
Seven Solid Safety Lines
Monitor
learning in the
background
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3
4
5
6
7
1

8. 交通 部科学研究院运输
China Academy of Transportation Sciences, MOT
Intelligent Public Transport Development
 Intelligent, Networked and Collaborative Public Transport Integration
 Intelligent and Collaborative Public Transport Operation
• Intelligent mgt, Scheduling mgt, Appraiser mgt and Service mgt of Human, Vehicle, Routes and Resources
• AI based Intelligent Scheduling : Human, Vehicle, Ridership, Road Condition, Weather, Cost effect, etc.
 Internet, Intelligent and Interactive : Human – Vehicle – Road (stations)
• Current : Vehicle and backend platform, backend platform to control & dispatch
• Future : V2V, V2Stop, V2Road (Signal system, abnormality at road junctions etc.), V2Passengers (sensing
passengers’ needs), V2Driver, Passenger2Stops, Various Elements 2 Backend Platform
 Intelligent, Precision and Collaborative Public Transport Infra-structure
• Intelligent Stops : Precision arrival, Precision service, Fast Passenger flow
• Intelligent Road : various sensors to realise accurate sensing of the traffic environment, to ensure safety
and smooth operation.
• BRT field : to lead autonomous driving trial (Collaborative Interactive Human-Vehicle-Stops-Depot)

9. 交通 部科学研究院运输
China Academy of Transportation Sciences, MOT
Oversea Plan
• Japanese cabinet financial department deputy minister
Takao Ochi visited our demonstration base.
• Cooperating with ON Semiconductor to build our visual
system and control system.
• Scania invested Haylion as shareholder, focusing on
international business.
• Invited BYD to get into American market with Haylion, for
promoting driverless bus.

10. 我 的合作 伴们 伙
10

11. Thank you ！
THANKYOU ! ！
2018 Year of Dog