In this whitepaper, we present an approach for using current technologies to build intelligent road safety networks that can enable safer roads in New Zealand. We call this SmartSafe Network technology.
What is the case for a smart AI-powered safety network?
The potential of maturing Artificial Intelligence (AI) and Internet-of-Things (IoT) technologies to enable
rapid improvements in road safety has been largely overlooked. On one hand, roading spending remains focused on traditional physical infrastructure, while on the other, technologists are distracted by a space race to build autonomous vehicles. Autonomous technology is difficult and it will likely take 20-30 years to mature and substantially replace existing fleets. Unaddressed, this gap will result in a lot of unnecessary social harm on our roads.
Get access to the full whitepaper and unlock the following topics:
- Bridging the gaps in Smart Road projects
- Why should we use AI for road safety?
- Adaptive Safe Pafe Path technology and digital convergence
- Building a network into road infrastructure
- Role of the government and manufactures
- SmartSafe: concept design
- How will it prevent accidents?
- Behavioral challenges in adopting the smart road safety system
- Privacy concerns and social acceptance
- Implementation costs and ROI
What can we do in the meantime?
Fortunately, there is an opportunity to utilise existing tech, and AI in particular to significantly
reduce harm in the short term by retro-fitting smart safety technology to road networks and existing
fleets. This challenge should be led by technologists and the 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.
Why do we need to do something different?
Improved road safety has a direct impact on saving lives. In the New Zealand context (reflected 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.
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 fleets, making a strong case for retrofitted AI-powered safety infrastructure when compared against the costs and time-frames for replacing physical infrastructure or the entire vehicle fleets.
What is the current intelligent transport landscape?
Smart roads and safety systems fall under the umbrella of Intelligent Transport Systems (ITS), encompassing emerging tech as well as nowstandard technologies such as automated speed cameras, road tolling, dynamic signage, and traffic management. AI is used for a variety of tasks such as managing traffic density, and monitoring intersections for “near misses”.
Several Connected Vehicle pilots are operational which draw on existing vehicle-to-everything (V2x) communication standards and have the potential to form the basis for complete safety-oriented communication protocols.
There is a broad range of active R and D projects and commercial products on offer, highlighting that the technological “building blocks” required to underpin an intelligent road safety network have moved out of the lab and are commercially mature in most cases.
If you want to discuss how AI and Emerging Tech can help overcome your challenges and transform your business, drop us a line at email@example.com.