TNO is a Dutch research organization focused on technological innovation. The document discusses trends in commercial vehicle automation, including a focus on both single vehicle and multiple vehicle automation to improve cost efficiency and safety. It outlines TNO's roadmaps for developing automated commercial vehicle technologies and applying scenario-based safety methodologies and validation techniques to speed up large-scale deployment. The conclusion emphasizes that cooperative vehicle automation will transform logistics and calls for collaboratively building real-life safety scenario databases.

1. 1 | Commercial Vehicle Automation
COMMERCIAL VEHICLE
AUTOMATION
Towards safe and efficient transport of goods | Daan de Cloe

2. 2 | Commercial Vehicle Automation
TNO INTRODUCTION
Founded in 1932
Center for Applied Scientific Research
Focused on technological innovation for society
3.500+ employees world-wide
Annual turnover of € 600+ million
Global presence and projects
12 September 20172017 © copyright TNO – all rights reserved

3. 3 | Commercial Vehicle Automation
mobility services
vehicle automation
vehicle electrification
12 September 2017
EU
ASIA
TRENDS AND DEVELOPMENTS
USA
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4. 4 | Commercial Vehicle Automation
TRENDS AND DEVELOPMENTS
Passenger Car Automation – high volumes
Strong focus on Single Vehicle Automation (SAE level 4)
Business case based on comfort and safety
Commercial Vehicle Automation – low volumes
Focus on both Single Vehicle Automation and Multiple Vehicle Automation
Business case based on cost-efficiency, comfort and safety
12 September 20172017 © copyright TNO – all rights reserved

5. 5 | Commercial Vehicle Automation
AD TECHNOLOGY ROADMAP
Future proof
in-vehicle
System Architectures
Supervisory
(interconnected)
Vehicle Control
Scenario-based
Real-life Safety
Methodologies
Implementation of interoperability and
cyber security protocols, fault tolerance
Fail Safety & ISO26262
Functional Safety
Vehicle dynamics control,
based on real-time estimation
of vehicle and tyre state and
the maximum vehicle
capabilities.
Adaptive and predictive
vehicle automation, using
machine learning &
artificial intelligence.
Multi sensor data fusion,
using (distributed) situational
awareness, for (real-time)
world modelling & localization.
Sensing, actuation and communication
platform for data fusion & supervisory
(interconnected) vehicle control.
Real-life safety scenario database
with virtual scenarios,
data classification
and reduction.
Real-life scenario simulation tools,
virtual performance testing &
HIL safety assessment.
Reduced
development efforts
and time-to-market
Affordable, robust and
reliable safety systems
Safe vehicle automation
(SAE level 4)
for different vehicles
in different scenarios
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6. 6 | Commercial Vehicle Automation
APPLICATION ROADMAP
12 September 2017
Connected and automated intersection assistant (L3)
Single-lane truck platooning on public roads (L2)
Single-lane highway assist (L2)
Multi-lane platooning (L3)
Driver-less automated truck, confined areas (L4)
Multi-brand truck platooning (L3)
Automated city distribution (L4)
Driverless trucks in platoons (L4)
Multi-lane connected highway pilot (L4)
Hub-to-hub multi-brand truck platooning (L4)
2017 2018 2019 2020 2021
Multi-lane connected highway pilot (L3)
Driver-less automated truck, platooning, off-road (L4)
Improve single
vehicle (connected)
automation on
public road
Improve multi-
vehicle connected
automation on
public road
Improve
automation in
confined areas
Full integration
Expected path to market introduction (TRL 8-9) of automated commercial vehicles
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7. 7 | Commercial Vehicle Automation
VIDEO: ECOTWIN TRUCK PLATOONING
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8. 8 | Commercial Vehicle Automation
CHALLENGES FOR LARGE SCALE DEPLOYMENT
Facilitating cross-border large scale pilots on the public road (pre-competitive, multi-stakeholder) to
speed up the development & deployment of automated vehicles in mixed traffic.
Combining & processing large amounts of vehicle data from different stakeholders to enable the
development of safe, robust and reliable automated vehicles & automated mobility solutions, while
safeguarding confidentiality, cyber security and personal privacy.
Increasing the mutual trust to exchange information between different brands to unlock the full
potential of cooperative vehicle automation and minimize the accidents in safety-critical scenarios.
Agreeing on a clear legal and legislation framework that supports efficient development, testing,
validation and homologation, that is aligned with operational and functional safety requirements.
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9. 9 | Commercial Vehicle Automation
ASSESSMENT & VALIDATION METHODOLOGY
12 September 2017
Validate & test AD functionalities using real-life scenarios,
based on driving data sets from multiple contributors
Extract characteristic parameters using Big Data Analytics
Build parameterized events and scenarios
Monitor the completeness of scenario sets
All contributors can use the real-life scenario database
2017 © copyright TNO – all rights reserved

10. 10 | Commercial Vehicle Automation
TO CONCLUDE
New and disruptive technologies like (Cooperative) Vehicle Automation will completely change the
Mobility, Transport & Logistics Industry as we know it today.
(Cooperative) Vehicle Automation will drive innovative new concepts like fully automated truck
platooning, automated city distribution and auto-docking, towards safe & efficient transport of goods.
To speed up large-scale deployment of (Cooperative) Vehicle Automation
we need to reinvent / redefine the safety assessment and homologation process:
TNO invites you all
to join the StreetWise initiative and build a scenario database
for real-life safety assessment of automated commercial vehicles together.
12 September 20172017 © copyright TNO – all rights reserved

11. 11 | Commercial Vehicle Automation
THANK YOU FOR YOUR
ATTENTION
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