Wikis

The ideas in the Basket "Pub" need further free brainstorming by various combinations of expertise, i.e. self-organising teams in a pub, radical ideas:

Ideas Presented

• Estimation of friction and slipperiness from sounds emitted tires – acoustic emission analysis; Combine with RWIS and weather and maintenance activities;
• Automatic friction detection using can-bus informations of heavy duty vehicles; Combine info from maintenance activities with road weather info;
  
• Cars observing friction and road weather when moving;
• Automatic speed adjustment from road weather – friction and conditions;

• Customisation and adaptation of general info: there is value in a specific vehicle collecting data which allows modification of more widely available data that may be broadcast on radio: this is for example to adjust vehicle warnings etc. to the preferences of the driver -> routing etc. 

• Current warnings on my daily route will be shown on my refrigerator’s door;

• Personal filtering: we have too much data: collect more about users: age, state of health, car type, status. Create intelligent algorithm that will find the interesting data for him/her (pollutions, allergies);

• eCall: information to be used in route planning;

• Product interfaces to Galileo Centres;

• Weather data needs consolidation and local disaggregation – services to offer;

• Smart location finder (personal services):

Facility / service / location finder;

Multifunctional service with several service options. Etc. toilet, restaurant, weather, road conditions, traffic jams, operation funded by advertisers with maybe governments;

Smart petrol station finder system: GPS;

Enablers: positive taxation treatments, positive legislation (liability, etc), NGOs; lobby groups, community: idealism;

Smart toilette finder;

Parking-lot  information system for truck drivers (along highways especially): process: limited parking lots for trucks, truck drivers are obliged to rest regularly, if no parking lot is available they are forced to drive longer than allowed -> penalties may apply -> safety risk .Idea: information system with pre-booking opportunity;

Supporting automatic driving and guidance on public roads: PT-vehicles (busses) could be guided through traffic. So far the problems are mainly of legal nature, automatic driving is already possible, however, automatic driving on public roads in running traffic requires innovative solutions that fulfil legal requirements;

Driving condition monitoring system & warning; driving style monitor;

Dissolving the need for traffic management centre by co-operative systems;

(C2C, C2I): the emergence of C2C and C2I technologies may lead to a decentralization and automation of traffic management. Maybe in future there will be no need any more for having people and technology in one control room. Traffic managers will be mobile! This is based on: more powerful computer and communications links, ubiquitous information, self-regulating C2C traffic;

• Social mobility info/contact system / Social mobility:

Fellow driver service – intelligent assistance & support; history of the area; he or she is singing with you; tell stories;

Communication means versus driver’s attention; traffic systems inform users about its state; infrastructure to car communication – engine starts;

Person-to-person travel info system; need transport from metro to centre, etc. linked to GPS; transportation face book – social driving;

Carpool planning service, route pooling;

Website for giving info about oncoming trips -> maybe to be combined; to be organised by organisation or similar, driven by incentives;

Known vs unknown people: has to be easy to use for driver (equipped car/driver necessary); user view: as a public transport info system; connected to public transportation (user view); problems: involving drivers providing free cap -> incentives (taxes, petrol price share)

• My Mobile travel manager

  Multimodal approach to public transit; Journey assistant (planning route, tracking & guiding, monitoring changes, alerts). Where I am (already knows), where do I go (arriving place), recommend the best possible rout! When chosen: current weather conditions, expected weather conditions, current road conditions, expected road conditions, other info. Red hot – flashing – something significant happened, recommendation
  
  Adaptive /learning /personal traffic /travel information: traffic information automatically to a mobile utilizing behaviour learning: Automatic traffic information mobile application for commuters utilizing behaviour learning: application in a mobile device track users every-day-life (home-work-shopping-hobbies): personal behaviour (place, times, dates)  tracking is input to a machine learning software: learning software can forecast information needs (for daily trip) and fetch/push e.g. traffic information alerts/warnings to the personal mobile device: user does not need to input or search information: can also utilize calendar information from mobile device.
  
  Real time traffic and weather information on board (satellite navigator), interactive approach: problem: if we make private car use too easy we may discourage use of public transport!
  
  Automatic road condition reporter: automatic information to road operators of problems on the road.

• Multimodal routing system:

Multimodal info system for pedestrians, cyclists, public transit (non-motorised modes) 

Sophisticated routing and route information system for cyclists: Problem: no perfect info system for cycling routes available -> cycle lanes are no part of route network (missing attributes), IDEA: detection and attributing lanes; mobile too: including info on current weather conditions; safety issues; multimodal. Game: participate and get tax reductions etc. -> ecodriving

Traffic nodes: have there been studies on road nodes?: map of Europe, services applications

Cycling routing system: Appropriate data base is required: road network, cycling network, pedestrians network, database mode has to be developed (facilitating adequate attributing) ; info to be included: availability/position, surface quality, maintenance status (snow removal etc.) gradients, linkages to public transport

Infrastructure & telematics: multimodal journey planner with comparison of costs, time, emissions

Multimodal on-line GIS: see openstreetmap.org -> personal level

Trip weather forecast (web), for bicyclists, motorcyclists, skeelers, walkers for pre-trip planning (W pre-trip planning will be better with TWF; A weather company, route planner company; C DEMIS bicycle route planner, KNMI rainfall radar forecast; S web server; V better trip decision; O time is not used in planning; D just do it, easy to implement)

Weather and traffic: get the info to the driver always in time through his cell phone/GPS; How? Cell phones enable to locate you very precisely, voice messages (SMS messages when the driver starts a car: he has to define the final destination and along the road he is informed about the next half an hour of driving conditions - Done locally?

• We need to have better weather and slipperiness information inside the car. Today we have good info of the traffic situation but this is not in line with the weather info. By increasing the quality of the weather info the total info will help in preventing queues and traffic jams;

• Traffic forecast: technology company and mobile industry interest. Needs real time traffic data flow with coverage; historical model with time series GRP;

• Predict car flow, don’t observe car flow, know it before it happens, e.g. if using navigator also send the route to a central and other cars, use information for active car control; 
  
• Cars report: the intelligent sensors built in to the cars report the average speed and the traffic conditions; data are sent to a database and sent to other cars so driver/computer can plan properly;

• Urban data fusion for a better traffic database: collection of traffic data from different sources, especially in an urban context, especially online traffic data, for example: taxi-FCD, motorway traffic control database, traffic-adaptive signal control, traffic information centre. Possibly merging with weather data: mobile weather FCD, stationary traffic;

• Use the car flow prediction for trajectory planning; 
  
• Cross border weather alerts (road section);

• Building a special floating rescue system on the basis of an accident forecasting model: using traffic and weather data for the flexible command of the ambulance vehicles, a) forecasting of the spots of accidents over the road network, b) forecasting of the probable time interval of accidents, c) method to command the ambulance cars in advance on the basis of forecast accident information; 
  
• Traffic data form airborne and space sources;

• Combination of the automatic rescue system (eSafety project) with the traffic regulation and information centres; interaction of the automatic rescue call. System proposed in the eSafety project into the system of traffic regulation and information centres;
• RTFM: Better and tailored user-interfaces of text, image, audio, considering personal characteristics of users: language, disabilities, age, health, and other personal needs;
• Satellite time series: using single pixel information to combine with ground observation to learn fog characteristics. This could later be distributed over the landscape -> which info? More specific!

• Traffic structure: using congestion characteristics to evaluate road conditions;

• Environmental and traffic data -> plenty of items but no services?

• Proximity warning services; GPS plus microwave enables warnings.

Ideas for All baskets