The TIMON project received over 5 million euros in funding from the European Union's Horizon 2020 research and innovation programme to develop an integrated mobility system relying on cooperative networks and open data. The project involves 11 partners across Europe led by the University of Deusto in Spain. It aims to increase road safety, improve transport flexibility, and reduce pollution and congestion by collecting data from vehicles, infrastructure, and open sources to provide real-time routing and prediction services through a web platform and mobile apps. The services will be tested through pilots involving drivers, cyclists and public transport users in Helmond, Netherlands and Ljubljana, Slovenia.

1. This project has received funding from the
[European Union’s Horizon 2020 research and
innovation programme under grant agreement
No 723970
TIMON
Enhanced real time services for
optimized multimodal mobility
relying on cooperative networks
and open data
Enrique Onieva

2. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
FACTS AND FIGURES
§ TIMON
§ Work programme: Smart, green and integrated transport
§ Call: Mobility for Growth 2014. MG.3.5-2014. Cooperative - ITS for safe,
congestion-free and sustainable mobility
§ Type of action: Research and Innovation Actions
§ Grant Agreement: 636220
§ CONSORTIUM
§ 11 partners at EU level
§ Coordinated by the University of Deusto (Spain)
§ Overall budget: 5.605.213 €
§ Duration: 42 months (June 2015 - November 2018)

3. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
GENERAL OBJECTIVES
§ To increase road safety
§ To achieve more flexible transport
§ By taking advantage of the different data available related to
transport and mobility, from different sources:
§ infrastructure, open data, vehicles and VRU
§ To reduce pollution emissions by 6-10%
§ To relieve traffic congestion by 12-20%

4. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
OVERALL CONCEPT
§ Development of a web platform and mobile applications for the
delivery of information services to road agents, drivers and
vulnerable road users.
§ Driving hazard alerts
§ Traffic congestion
§ Route optimization Infrastructure sensors
Open data
Vehicles&VRU
Multi-modal dynamic commuter
Enhanced RT Traffic
Information API
Getting involved users
Emergency vehicle approaching
Road Hazard warning
Dynamic Route re-planning for
drivers
Services for Drivers
Vehicle density awareness
Collision alert
Dynamic route re-planning
Services for VRUs
TIMON
Server
Open platform and
APP development
SERVICES FOR CITIZENS
SERVICE FOR BUSINESS
TIMON COLLABORATIVE ECOSYSTEM
DATA SOURCES Vehicular hybrid
networks
LTE
ITS-G5
Artificial Intelligence
Route
planning
Congestion
prediction
Cooperative positioning
TECHNOLOGIES

5. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
SPECIFIC OBJECTIVES
§ Identify transport open data sources of information and its harmonization.
§ Increase accuracy on the position of vehicles and VRUs by means of the
cooperative positioning techniques enhancing GNSS positioning
§ Develop hybrid networks for assuring communication between vehicles and
VRU, supporting ETSI-G5 and mobile cellular LTE
§ Leverage the information gathered from different sources, by applying
artificial intelligence techniques: traffic behaviour patterns detection,
optimized routing
§ Implement ITS real time services enhancing dynamic maps and cloud
computing, in the areas of: driver assistance, vulnerable users and
multimodal dynamic commuter or enhanced real time traffic information API

6. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
TECHNOLOGICAL CHALLENGES
§ Cooperative positioning
§ Positioning under GNSS signal blocking
§ High precision
§ Hybrid communication networks
§ Short-long range synergy (ITS-G5+LTE)
§ Reducing investment in infrastructure
§ Artificial Intelligence (Led by Deusto)
§ Congestion prediction
§ Optimization of intermodal routes

7. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
INNOVATIVE ASPECTS
§ Current mobility services only collect data from
infrastructure and/or open data sources.
§ TIMON
§ Collects and processes data from a variety of sources
§ Vehicles as sensors: providing position, time stamp, speed…
§ Vehicles/motorcycles are prosumers: they provide data to the system and
consume information from it.
§ Open data and infrastructure.
§ Collects data in Real-time à real-time services.

8. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
DATA SOURCES
§ More tan 20 data sources integrated and harmonized
§ All of them standardized under the DATEX-II
Bike Rental Parking Availability Car Sharing
Real-time Weather Taxi Contact Details Electric Vehicle Charging Stations
Traffic Light Locations Traffic Bluetooth Sensors Traffic Light Inductive Loop Sensors
Traffic Roadworks & Accidents Traffic Delays & Congestion Train GTFS
Pollution guidance Pedestrian Zones GPS Data from Vehicles
Bus RT-GTFS Train RT-GTFS (…)

9. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
PILOT OF SOLUTIONS
§ Testing in Helmond, the Netherlands
§ Real data used
§ Phase 1: Subsystem testing (September 2016; June 2017)
§ Phase 2: Global system validation (February 2018)
§ Piloting in real environment in Ljubljana
(Slovenia), May 2018.
§ Participation of citizens as users of the TIMON
system.
§ 50-80 participants: drivers, motorcyclists and
public transport users.

10. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
ADVANCED ARTIFICIAL INTELLIGENCE
§ Motivation
§ Interpretability
§ Overcome classic artificial intelligence techniques
§ Focused on system accuracy but Not in its interpretability
§ Imbalance
§ Traffic data is usually highly imbalanced:
§ Abnormal situations are very rare
§ Some predictions have a high degree of accuracy, but they are not useful
§ There won't be a traffic jam at 4:30 am
§ Methods
§ Fuzzy Logic à “Low”, “medium”, “high”, “about 50”, “slow”, “fast”
§ Evolutionary Algorithms à Flexibility to optimize any model’s structure
§ Multi-Objective Optimization à {Price vs Quality} {Accuracy vs Complexity}

11. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
ADVANCED ARTIFICIAL INTELLIGENCE
§ Objectives
§ Short-term congestion prediction
§ Through the use of bio-inspired metaheuristics to optimize fuzzy logic based systems
§ Optimization of point-to-point routes
§ Implementing bioinspired optimizers in a multi-modal way to respond to user requirements
§ Results
§ Evaluation of "classical" data mining techniques and comparison of 384 models
§ Data reduction by Instances selection and Attributes selection
§ Enhanced algorithms
§ Adjusting the importance of each rule to prediction
§ Rule generation based on evolutionary algorithms
§ Fitness function adjustment to consider imbalances
§ Improved crossover and mutation operators

12. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
ADVANCED ARTIFICIAL INTELLIGENCE
§ Real Time Traffic + Traffic Prediction
System Services
§ TIMON Cloud data collection and
preparation
§ Traffic information engine calculation of
future traffic status
§ Geographic information system module
locates information in the road network
§ Geo-referenced information is sent to the
TIMON Cloud

13. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
ADVANCED ARTIFICIAL INTELLIGENCE
§ Multimodal Route Planning Service
§ Based on OpenTripPlanner
§ Open, robust and flexible
§ Data Integration
§ GTFS à public transport à intermodal routes
§ Slopes à emissions calculation à green routes
§ Slopes à bike friendly routes
§ Traffic predictions à optimal routes
§ Multi-objective optimization through differential evolution

14. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
ADVANCED ARTIFICIAL INTELLIGENCE
§ RESULTS
§ Reduction of data needed to predict >70%
§ Accuracy (prediction hit) >90%
§ Sensitivity (hit in anomalous states) >80%
§ Time to of training (24 cameras) <10 min.
§ Time to predict (24 points) <0.1 sec.
§ Complexity of models <10 rules

15. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
EXPECTED POTENTIAL IMPACT
§ Increase of road safety
§ Drivers and VRU will be alerted of potentially hazardous events
§ Predictions and routes provided users to choose safer routes
§ Hybrid vehicular communications and enhanced positioning will help to distribute real time accurate
information
§ Reduction of traffic congestion
§ The system will suggest the most optimized multimodal transport route according to user`s profile
§ Since the traveling duration can be predicted more accurately, it will be possible to boost and improve
car sharing initiatives
§ Flexibility of transport
§ Users will be provided with accurate multimodal travel-services, indicating the best route and mean of
transport
§ Reduction in pollution emissions
§ Routes produced take into account data related to vehicles’ consumption, the steepness of the routes
and all the available public transports in the city for the multimodal routing.

16. This project has received funding from the [European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 723970
TIMON project has received funding from the European Union’s Horizon 2020 research
and innovation programme under Grant Agreement no 636220.
THANK YOU
Enrique Onieva
enrique.onieva@deusto.es www.timon-project.eu
Indicator Units used Reference Objective Current Vehicles
Data sources ingested Number of data sources Open and closed data sources 20 25 Car, bus, train, bike
Traffic flow
improvement
% reduction of traffic
congestion
Route planning which considers RT traffic
information and predictions
12 TBD Car, bus, motorcycle
Traffic predictions
% accuracy in traffic
predictions
Traffic predictions for 15, 30, 45 and 60 mins to
avoid traffic congestion
>80% Interurban: 90%
Highway: 98%
Car, bus
Route calculations
% duration error Routes that consider Duration, Length, Safety,
Inclination
<35% 30%
Car, bike,
motorcycle, public
transport, walk
Real time information to
road users
% accuracy of RT
information
The system updates the information every 15
minutes: with sensors or with floating data
Sensors: 90%
Floating data: 70%
Sensors: 95%
FD: TBD
Car, bus, motorcycle
Improvement of
transport flexibility
Types of routes or
parameters
Route planner that considers flexible parameters
to be adjusted to the users’ needs
1 alternative route
improves
100% of routes
improve
Car, bike,
motorcycle, public
Improvement or
positioning technologies
% enhancement in
accuracy of positioning
Positioning in low GNSS coverage areas 50% >50% Car
Sensors and in-vehicle
computers development
Type and number of
sensors
Equipment installed in Ljubljana
3 OBUs and several
RSUs
37 BT sensors, 3 OBUs
and 10 RSUs
Car, motorcycle, bus
CO2 or fuel consumption
reduction
% reduction of emissions Routes consider fuel consumption 6 TBD Car
Standardisation of on-/
or offboard software
Programming Languages,
Middleware types
Work under DATEX II standardization
All information in
DATEX II
All information in
DATEX II
Car, bike,
motorcycle, bus
Development of new
urban mobility systems
Number of different
transport modes
Multimodal route planning system Route planner
Flexible route
calculator
Car, bike, motorcycle