This document summarizes a seminar on intelligent infrastructure and traffic systems. It discusses how traffic technology and applications will become more independent and use cloud data to make traffic control smarter. This will support individual road users like cyclists and pedestrians through apps and connectivity. Cooperative communication will give priority to vehicles like heavy vehicles, public transport, and emergency vehicles. Traffic management will expand to include other public space factors. Intelligent infrastructure relies on individual vehicle data to enhance traffic monitoring, network optimization, and control. Examples of cooperative intelligent transport system projects in locations like the UK, Netherlands, Finland, and Copenhagen were provided.

1. Smart Mobility Seminar
Intelligent infrastructure and traffic systems
Olli Rossi – Project Manager
11.5.2017

2. SEPARATED WORLDS
Tomorrow …. begins today

3. ‘Traffic congestion cost UK motorists more than
£30 billion in 2016’ – INRIX, 2016
‘Across Europe as a whole, infrastructure
congestion costs 1% of GDP’ – McKinsey, 2015
3

4. What’s about to change
• Traffic technology and traffic applications will become completely
independent  easier for roll-out of new services
• Use of cloud data makes traffic control smarter
• Support of individual cyclist, pedestrian etc. with apps and mobile
connectivity
• Cooperative communication gives priority to:
• Heavy vehicles
• Public Transport
• Emergency vehicles
• Traffic management becomes “Public Space Management”
• Traffic – lightning – eather – parking – safety
• From hard to ‘soft’ infrastructure
• Improving sustainability and throughput go together
From ITS to C-ITS

5. So what’s helping drive the solution?
“The role of individual vehicle data”
• Performance driven individual
vehicle data
• Fills in the ‘gaps’
• User needs more personalized information
• Enhances traffic monitoring
• Allows for advanced network
optimization and control

6. C-ITS experience
ϕ Since 2005: working on the development of ETSI standards
ϕ Helmond: heavy vehcile soft-priority, upscaling in 2017
ϕ North-Holland: magic green for trucks via 4G
ϕ Copenhagen: “green mobility”: for bus, truck and cyclists
ϕ Bordeaux: transport logistics, motorway roll-out (w. partner)
ϕ Tampere: GLOSA – Green Light Optimised Speed Adviser, Cross-Cycle
ϕ Oulu: CyberWI – Cyber-secure traffic priority for emergency vehicle
ϕ UK: Bristol test bed and Landrover Jaguar test site
10 years

7. Copenhagen
 Reduction CO2 with 20%: 2009-2011 (was 2015)
 Key: think different, reinvent the city
 Focus on cyclists
 C-ITS, cooperative solutions for throughput and safety
 More electrical vehicles
 Integrated high-grade Public Transport
 Large number of energy/CO2 reduction inititatives
 Integrated approach: mobility-transport-energy consumption
 https://stateofgreen.com/en/profiles/city-of-copenhagen
The CPH 2025 Climate Plan
System figures
21 Cooperative Wifi-11p routers
Detection equipment for dynamic
road hazard warnings
86 cooperative busses
5 cooperative heavy veicles
9 electrical cooperative cars

8. Example projects: Innovation Projects
http://www.beterbenutten.nl/en
• UK Innovation Project
• Focuses on V2X using ITS-G5
• Enables autonomous vehicle deployment
• Focus on enabling elderly population
• ITS-G5 deployment with HMI in vehicle
• Includes ITS G5 performance evaluation
and testing
• Development of new ITS use cases
• NL Innovation Project, Ministry led
• Focus on V2X via hybrid comms
• Enables cross-industry ITS services
• Focus on nation-wide standards and roll-
out
• Wide ranging consortium
http://flourishmobility.com/about-flourish

9. The Dutch approach
 An open eco system in three clusters:
 Cluster 1: roadside (iTLCs)
 Cluster 2: cloud data services
 Cluster 3: service providers
 TLC application (ITS application) 100%
independent from TLC supplier (iTLC)
 Role-out of services in cities and nationwide
easier to realise
 Large scale implementation
 Innovation platform for the future
 Better facilitating specific user groups by
service providers (in cluster 3)
 From only BtG to also BtB en BtC
Beter Benutten Vervolg (BBV) – Beter road Utilisation Next Phase

10. The Finnish approach
 An open eco system in three clusters:
 Cluster 1: roadside (TLC)
 Cluster 2: Dynniq cloud data service
 Cluster 3: service providers, apps, external
interfaces
 Open interface from TLC to third parties
 Role-out of services in cities and nationwide
easier to realise
 Large scale implementation
 Innovation platform for the future
 Better facilitating specific user groups by
service providers (in cluster 3)
 From only BtG to also BtB en BtC
Better road Utilisation Next Phase
TLC
External Data
source
Receive Process
Send Store
Dynniq Cloud
Cluster 1
Cluster 2
Cluster 3

11. Example: Dynniq apps
GLOSA
Time-to-red
Speed advice
Speed limit violation
GLOSA switched off
GLOSA
Time-to-green
2 lanes
GLOSA
HGV priority (right)
3 lanes
App for driver’s dashboard that
communicates directly with traffic
signal control system to advise
drivers when signals are about to
change.
Outcomes:
• Reduced driver stress
• Reduced fuel consumption
• Reduced emissions
• Reduced impact on infrastructure
• Increased safety
• Increase intersection saturation flow
• Easy to get cyclist request to green
GLOSA=Green Light Optimal Speed Advise

12. Makes a “traditional” traffic management centre
connected and cooperative
Core of CSM
Local
Dynamic
Map
ON BOARD UNIT
In 100 meters
in 78 m
dissemination area
relevance area
R-ITS-S
DENM
location, identifier
WARNING
ACCIDENT, DANGEROUS END OF
QUEUE, TRAFFIC JAM
• Central System to provide means for
processing Probe Vehicle Data
• Uses standardized message formats for
information collection
• Ability to take in 3rd part information feeds
(FTA, Highways England, Rijkswatersaat)
• Can consolidate information for provision of
in-vehicle information services, e.g.;
 Roadworks Warnings
 Traffic jam ahead warnings
 Accidents
 Emergency Braking
CCSM - Cooperative Services Module

13. OES created by Dynniq
 Road Authority
φ Policy implementation (environment, throughput, safety)
φ “Flow as a Service”
φ Reliable system operation
φ “Broker-function” between BtB and BtG relation
 Users
φ Slow traffic (pedestrian, cyclist)
φ Private cars
φ Professional traffic (e.g. heavy goods transport)
φ Public (PT and emergency vehicles)
Open Eco System

14. CrossWalk & CrossCycle
 Support of ‘slow’ pedestrian with extra green
 Extend green for groups (e.g. teacher with
school class)
 Extra green for large groups of cyclists
 Easy cycling by ‘virtual’ push buttons
Pedestrian & cyclists app
 Technologies aimed at improving active and
passive detection of cyclists
 Systems informing both drivers and cyclists
of an hazard at junctions
 Effective methods of presenting information
in vehicles and on-site
 Cooperation systems aimed at reducing
collisions with cyclists

15. Reduce car density in residential areas
φ Translate policy direct to operational technology ‘on street’
φ Strong, generic, high-performance traffic engineerinf algorithms:
wide application scope
φ Buffering in surrounding network
φ Diversity on priority users groups (PT, trucks, emergency)
φ Auto-adapt to (slowly) changing traffic conditions: low maintenance
Buffering with smart network management (ImFlow)
Buffering supports low car density
Recoil of remp metering
Effects of bridge opening buffer zone
buffer zone
buffer zone
Buffer zone Buffer zone

16. Support logistic traffic
φ Heavy goods vehicles stay on main route(s)
φ …………………. while getting extra green light
φ Less emission: ~ 15%
φ Better throughput: ~ 10-15%
φ Less fuel usage: € 1.000 - 2.000/year
φ Less noise of accelarating heavy trucks
φ Lower maintenance: less wear and tear
φ Less pressure on residential areas
φ Attractive business climate
 One technology platform:
 PT
 Emergency vehicles
 Trucks
 Autonomous vehicles
GreenFlow for Trucks
Helmond cooperative driving environment

17. Advanced traffic network management
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‘What does all this data tell us?’
• Understand: Balance ‘collective’ with ‘the individual’
• Account for: (local) policy objectives
• Control: Re-assess existing control measures and combine with new
• Analyze and predict: data, both historical and real-time
• Result

18. Balance the collective vs. the individual
• Collective network management
• Traditional top down control
• Static data collection
• (Relative) uniform information
• Limited real-time data + control
• Individual vehicle information services
• Personalized and contextualized information
• Real-time data provision
• Pro-active
• User oriented
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19. Succes factors
 Open system architecture on all levels, no vertical
integration
 Access to all data against acceptable costs
 Procurement focus on:
 Quality
 Scalability
 Openess
 Knowledge build up with road authorities and
companies
 Experiment, but prevent invent the wheel!
 Change of roles: road authority – road user – service
providers (more BtC and BtB, less GtC)
 Matching individual and public interests
For smart mobility

20. Thank You!
Questions?
www.dynniq.fi