Wikis

GROUP 1 (TOP 5)

Friction model: combined with RWIS and weather and maintenance activities – “PULP FRICTION” – Pub
In-Vehicle Information: about speed, road conditions and traffic situation combined information from maintenance activities with road weather information – Waste –
Free all weather data: free geospatial data, free data platforms “FREEDATA”– Ready
Personal Filtering: Collect information about users: age, state of health, car type, status, and create intelligent algorithm that will find the interesting data for him/her (e.g. pollution, allergias), compare: eCall, MyRoute – Pub
Animals on Road: fasten device that can be shooted on moose, showing their location (GPS-GALILEO) + central data analysis and delivery – Waste

WACSVOD ANALYSIS *) OF THE 5 TOP IDEAS

	FRICTION MODEL – MONITORING, MODELLING, FORECASTING	IN-VEHICLE INFOR-MATION	FREE WEATHER DATA	PERSONAL FILTERING	ANIMALS ON ROAD
W Weak Signals	it is complicated subject or object: how to define it simply. We need more definition on friction	handled in group 2	money – somebody wants to have money not to pay	user interfaces should be safe ad usable, not cause more accidents	difficult to monitor
A Actors	authorities, researchers, manufacturers, funding sector all together, need of new co-operative activity		data owners and data producers	car manufacturers	device developers
C Collaborators	data owners		governments	data producers, researchers, car manufacturers	road authorities
S Structures	development of data bases, joint project of the friction model		data bases, data stores	data bases, data communication, co-operative transport sector	monitoring system
V Values	new good information for different purposes, safe and smooth transport services		could be very high	safer driving, especially older people	safer driving
O Obstacles	money and complicated problem		money	too much information inside the car, too much technology in car	difficult to monitor
D Drivers	optimal maintenance operations, safety on the road		free data for different users and value-added service producers	increasing number of aging people, safe driving	eager device developers

GROUP 2 (TOP 4)

Automatic Traffic MIS (management information system) - Wild
Smart location finder for personal services – new issues e.g. nearest toilet “TOILET-TOMTOM”- Pub
Social Mobility information and contact system - Pub
Multimodal Routing System adaptive / learning personal traffic, mobile route selection – Pub – see group 1

WACSVOD ANALYSIS OF THE 4 TOP IDEAS

	AUTOMATIC TRAFFIC MANAGEMENT INFO SYSTEM	SMART LOCATION FINDER	SOCIAL MOBILITY INFO CONTACT SYSTEM	MULTIMODAL ROUTING SYSTEM FOR NON- MOTORISED MODES
W Weak Signals	lack of cooperations, size of monolithic databases	competition, technology	technology, climate	safety, vulnerability
A Actors	drivers/customers	drivers/customers, service providers	government, individual drivers, companies	cyclists, pedestrians, government, safety institution, operators, insurance
C Collaborators	government	users/consumers, map providers, government	community organisation, government, individual drivers, companies (travel plans)	bicycle organisations, educational organisations, government, volunteers
S Structures	sensors, datawarehouse, realtime needs, standards	open database, interface	legislation, taxation	dynamic information , collaboration, communication, micro-climate info database
V Values	realtime targeted information, road safety, accurate prognosis, less energy consumption	less time waste, location visibility, quality of data	lower cost lower environmental costs, social impact	encouragement to non-motorised transport
O Obstacles	lack of sensor / actual for data standards	cooperation from DB owners	privacy /cultural, safety, legal liability	good network data is missing
D Drivers	Drivers/consumers, entrepreneurs	Open data (collaboration, user-driven)	Climate costs idealism	Encouragement of motorcyclists, insurance

Others:

Fellow Driver Service - Wild
Car2Infrastructure Communication - Wild
MyMobile travel manager - Wild
USA 511 for Europe - Ready
Information on Eco-Efficiency – while planning – while driving - Pub
Social Eguality Issues: age, gender, language – Pub

GROUP 3 (TOP 6)

Eye from above: traffic information from satellites, unmanned planes, helicopters, balloons, aircrafts; meteoinfo from satellites – Wild
Urban data fusion for a better traffic intormation, Traffic forecast models – Pub,
Mobile sensor data acquisition: Mobile phones as sensors – Ready
Cross Border Weather Alerts – Ready – Weather and traffic information through mobile phones
Mapping of risky road stretches - Waste
European databases – Pub – see group 4

WACSVOD – General problems

Ready-to-go ideas are for sure, no weak signals, but work is needed with information providers

Scattered data problematic -> in future traffic information is independent on administrations

Value: legal obstacles

Datawars?

Drivers: demands are growing, more satellites in the future?

Obstacles: creating models becomes unfeasible

Others: eCall and airport weather observations – Waste

GROUP 4 (TOP 4)

Weather Wikipedia – weatherwiki for roadweather; road weather data - Waste
EUROADMAP – Northern Europe Module (NEM) for mapping road weather conditions online – Wild (NEM Pub) – (Conceptual)– see group 3
Mobile Pocket Guidebook with position services – all traffic modes – Ready, see group 2
EYEAR: Road Eye: friction data collection and transmission (acoustic, optical, invehicle etc.) – Ready

WACSVOD ANALYSIS OF THE 4 TOP IDEAS

	EYEAR	MOBILE POCKET GUIDE	EUROADMAP	WEATHER WIKI
W Weak Signals	variety of data, different methods	lack of some data, variety of sources	availability of data, access to data cost?	variability in data quality? Stakeholders?
A Actors	manufacturers of equipments, road authorities, transport operators	meteorological institutes, authorities, operators (transport, tele) service providers, pedestrians, cyclists, passengers, event makers	people and companies and road authorities and meteorologists with interest, national weather services, private weather companies	we don’t know the actors: end-users, manufacturers, authorities, ?
C Collaborators	sensors in vehicles, vehicle info	same without users	as above plus various others	meteorological institute
S Structures	safety for road users	observation network, internet, mobiles, telenetwork	internet based road weather map (e.g. google map), computer networking, weather service – road authorities	www
V Values	lack of validation	optimize travelling time etc. pre-planning of trips, increase safety (slippery), healthy savings, environment (traffic mode)	safety, environment, cost for traveller, traveller information, info for freight transport	social wellbeing, efficient use of existing information
O obstacles	government	lack of data, willingness to pay? price, business model	competition between actors, open interfaces	false reality?
D Drivers	variety of data, different methods	city councils, ageing population, climate change, environment issues		peoples willingness to help: cheap dynamic develop-ment. NB: data to be deliv-ered in graphical form only! i.e. not digital -> quality issue

Others:

Everything that moves gives location information – Passive Transmission of data – Wild
Satellite data and traffic structures – Pub
PORT-related traffic modelling – Ready
Dynamic driving trip services – Waste
Multipurpose use of GPS-based road tolling – Ready
Data collection from Electronic Ticketing System – Ready
Satellite data; Airport Weather observations – see group 3 – Ready, Pub
User interface development – consider social issues: age, language, ecology, equality “RTFM” – Pub, Wild

WACSVOD Analysis - issues to be discussed about each idea

W=Weak Signals - what are those happenings that might disrupt or

change the development path of the idea in the future?

A= Actors - Who are the main actors of realising the idea?

C= Collaborators - Who are the main collaborators in realising the idea?

S= Structures - What are the main (infra)structures needed for the idea?

V= Values - What is the value (monetary/operational/etc.) or added-value for

beneficiaries of the idea?

O=Obstacles - What are the main obstacles hindering the realisation of the idea?

D= Drivers - What are the main drivers promoting the realisation of the idea?

TOP Ideas

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