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人工智能驱动的道路安全网络白皮书(英) !ntranel 2022.pdf
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人工智能驱动的道路安全网络白皮书(英) !ntranel 2022.pdf
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About the author
Adam is an entrepreneur and an Emerging Technology
leader. Through his role with Intranel Consulting, he enables
business partners to accelerate technology delivery using a
lean, business-driven approach.
Email: [email protected]
LinkedIn: @adamlyness
Adam Lyness
Founder and Business Development Manager
at Intranel Consulting Services
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1. The case for a smart AI-powered safety network
Why do we need to do something dierent?
What is the current intelligent transport landscape?
So what are the gaps?
How to ll these gaps?
Why should we use AI for road safety?
Adaptive Safe Path technology and digital convergence
2. The wait for autonomous vehicles
Why build a network into road infrastructure?
The role of the government and manufactures
3. An AI-powered solution
SmartSafe - Concept design
How AI prevents accidents
Human factors
The value of data
Privacy and social acceptance
Costs and return on investment
4. Summary
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Contents
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The potential of maturing Articial Intelligence (AI)
and Internet-of-Things (IoT) technologies to enable
rapid improvements in road safety has been largely
overlooked. On one hand, roading spend remains
focused on traditional physical infrastructure, while
on the other, technologists are distracted by a space
race to build autonomous vehicles. Autonomous
technology is dicult and it will likely take 20-30
years to mature and substantially replace existing
eets. Unaddressed, this gap will result in a lot of
unnecessary social harm on our roads.
What can we do in the meantime?
Fortunately, there is an opportunity to utilise
existing tech, and AI in particular to signicantly
reduce harm in the short term by retro-tting smart
safety technology to road networks and existing
eets. This challenge should be led by technologists
and government outside the vehicle manufacturing
sector as manufacturers’ goal of maximising new
vehicle sales aligns poorly with delivering social good
from optimal road safety technology.
The case for a smart
AI-powered safety
network
Solution: SmartSafe
Network Technology
In this whitepaper, we will present an
approach for using current technologies
to build intelligent road safety networks.
We call this SmartSafe Network
technology.
SmartSafe works at the infrastructure
level and operates with the existing
vehicle eet, delivering a leap forward
in road safety at a cost of a few hundred
dollars per vehicle, within a 5-year time
frame. This is feasible with existing
technologies, aordable, and politically
tenable.
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Improved road safety has a direct impact on saving lives. In the New Zealand context
(reected in many OECD countries), the road toll has remained fairly static despite many
campaigns around driver behaviour. These are expensive and slow to shift the needle
because the major underlying factor is human fallibility.
Why do we need to do something dierent?
Anecdotally, just about everyone admits to
having made a mistake that could have seriously
hurt someone when driving so it’s not simply a
“good” vs “bad” driver issue. “Vision Zero” road
safety strategies acknowledge human factors
but planning is very evolutionary in nature (best
practice = “do more of the same”) and doesn’t
really explore the potential for revolutionary new
technologies to shortcut the process.
The social cost of this is huge, estimated in New
Zealand (with a population of 5 million) as $4.8
billion in 2017 across 378 fatalities and 3,000
serious injuries. Many OECD countries have
extensive networks of high-risk roads and older
vehicle eets, making a strong case for retrotted
AI-powered safety infrastructure when compared
against the costs and time-frames for replacing
physical infrastructure or the entire vehicle eets.
Graph 1. Number of road deaths in New Zealand, 2010-2019. Source: The Ministry of Transport
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