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Traffic Shaper 
Driving with mobile application 
tools 
Federica Santuccio 
Innova S.p.a. 
Bilbao, 14/11/2014
What is Traffic Shaper? 
• Traffic Shaper is a project funded under the 
European Mobility and Mobile Industry 
Alliance that started on 1st September 2013 
until 31th August 2015. 
• The total budget allocated is around 575.000 
euro (funded at 70%)
Partners of teh project 
• Associazione dei Comuni Italiani (ANCI) – 
Umbria (coordinator) 
• Innova S.p.a 
• Tconnect Slovenia 
• CFLI Venezia (Consorzio Formazione 
Logistica Intermodale) 
• Encadre
What is Traffic Shaper about? 
Traffic Shaper has the objective to shape the road 
traffic in a centralized way by proposing alternative to 
routes according to different users connected. 
The project aims at developing a mobile application 
tool based on data collected from: 
• pre-existing real-time road traffic data (Tom-Tom 
data) 
• users positions and profiles, from social network 
• atmospheric and air quality data
What’s new in Traffic Shaper? 
• Traffic Shaper provides a tailored solution in 
moving from point A to point B by suggesting 
alternative routes to the different users moving 
along the same way  private user 
• The service intends to identify troubles related to 
natural disease that may cause traffic and favour 
the intervention of public security  public 
user
How?
Technical functioning 
• Back-end system development 
– System Architecture 
– Data sources 
– Traffic simulation 
– Functionalities 
– API 
• Front-end system development 
– Administration GUI 
– Mobile APP 
• Demonstrator
System architecture 1/2 
Source 1 Source 2 Source n 
Data source collector 
User 1 
User 2 
User n 
AP 
I 
Elaboration 
engine 
Admin 
GUI 
DB
System architecture 2/2 
• Data sources: 
– GPS tracker (Dedicated device, Mobile app) 
– Real time data sources (TomTom data) 
– Social network (Twitter) 
• Data source collector: 
– it collects the traffic-road conditions data and it adapts them to our 
platform's format. 
• Elaboration engine 
– takes as input the previous elaborated information (users routes, the 
traffic road condition) and it calculates the best route for each user; 
• API 
– permits to exchange data between the backend and the mobile app and 
the user administration GUI; 
• DB interface
API 
• user registration; 
• user authentication; 
• get route: it permits to send a user request route to the 
backend, in response the user receives the computed route; 
• get my routes: it permits to retrieve all the user requested 
routes; 
• insert new traffic event: it permits the user to send a geo-localized 
traffic event; 
• track my position: it permits to send to the backend to 
current user positions.
Functional block diagram
Administration GUI 
• View the system users list 
• View user profile 
• Statistical information on the user daily habits: 
– preferred routes, 
– most reached places, 
– arrival and departure hour 
• Block user account
ADMINISTRATION GUI
Mobile Application 
• user registration and authentication 
• route selection 
– the user can request a specific route inserting the start point and the 
arrival point; 
• route visualization 
– once the user request a route, the application visualizes the backend 
response, i.e. the best calculated route, directly on screen as a red line 
on Google Maps; 
• reporting traffic condition 
– the user can also be “active”, helping to know where is a traffic 
congestion or an accident; 
• user tracker 
– the app sends automatically information about user’s position to the 
backend. These features can be activated or deactivated by the user.
Mobile application
Mobile application
Problems encountered 
• The trade-off between available data and 
collection of our specific data through data 
collector 
• The correct methodology for route 
recalculation 
• Finding solutions effectively innovative and 
useful for the user
Next steps 
• Finalization of the methodology 
– Re calculation of the routing 
– Multi user management 
• Sources based on pollution Data 
• Mobile app finalization 
• Extension to big Italian cities such as Rome (under 
discussion)
Demo 
Download the app from: 
•http://www.t-connect.it/trafficshaper/download.html 
Your comments are welcome to: 
Remo Pomposini 
remo.pomposini@gmail.com
Thank you for your 
attention 
Federica Santuccio 
Innova S.p.a. 
F.santuccio@innova-eu.net
Elaboration engine 3/3 
• route elaboration engine 
– it performs the simulation, 
– Input: the data coming from the controller 
– Output: the best path for each user. 
– SUMO framework in order to perform traffic simulation. 
• SUMO classic simulation: it uses the Dijkstra algorithm to find the optimal route for each 
car in terms of travelling time. 
– This method is reliable in terms of output, i.e. it find the best route for each user 
– it is very slow, it has a lot of computation; 
• DuaRouter: also this methodology adopt the Dijkstra algorithm for each users, but in this 
case is only performed the shortest path and not a full simulation in the time, 
– it lacks of important output data such as the travel time. 
– The advantage of this method is the execution time that is about 70% -80% less than the first one; 
• follow engine: 
– it follows the user movements in order to calculate traffic in real time; 
• routes interpreter: 
– it converts the route elaboration engine output, in order to show it to the final user;

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Servitization Federica Santuccio

  • 1. Traffic Shaper Driving with mobile application tools Federica Santuccio Innova S.p.a. Bilbao, 14/11/2014
  • 2. What is Traffic Shaper? • Traffic Shaper is a project funded under the European Mobility and Mobile Industry Alliance that started on 1st September 2013 until 31th August 2015. • The total budget allocated is around 575.000 euro (funded at 70%)
  • 3. Partners of teh project • Associazione dei Comuni Italiani (ANCI) – Umbria (coordinator) • Innova S.p.a • Tconnect Slovenia • CFLI Venezia (Consorzio Formazione Logistica Intermodale) • Encadre
  • 4. What is Traffic Shaper about? Traffic Shaper has the objective to shape the road traffic in a centralized way by proposing alternative to routes according to different users connected. The project aims at developing a mobile application tool based on data collected from: • pre-existing real-time road traffic data (Tom-Tom data) • users positions and profiles, from social network • atmospheric and air quality data
  • 5. What’s new in Traffic Shaper? • Traffic Shaper provides a tailored solution in moving from point A to point B by suggesting alternative routes to the different users moving along the same way  private user • The service intends to identify troubles related to natural disease that may cause traffic and favour the intervention of public security  public user
  • 7. Technical functioning • Back-end system development – System Architecture – Data sources – Traffic simulation – Functionalities – API • Front-end system development – Administration GUI – Mobile APP • Demonstrator
  • 8. System architecture 1/2 Source 1 Source 2 Source n Data source collector User 1 User 2 User n AP I Elaboration engine Admin GUI DB
  • 9. System architecture 2/2 • Data sources: – GPS tracker (Dedicated device, Mobile app) – Real time data sources (TomTom data) – Social network (Twitter) • Data source collector: – it collects the traffic-road conditions data and it adapts them to our platform's format. • Elaboration engine – takes as input the previous elaborated information (users routes, the traffic road condition) and it calculates the best route for each user; • API – permits to exchange data between the backend and the mobile app and the user administration GUI; • DB interface
  • 10. API • user registration; • user authentication; • get route: it permits to send a user request route to the backend, in response the user receives the computed route; • get my routes: it permits to retrieve all the user requested routes; • insert new traffic event: it permits the user to send a geo-localized traffic event; • track my position: it permits to send to the backend to current user positions.
  • 12. Administration GUI • View the system users list • View user profile • Statistical information on the user daily habits: – preferred routes, – most reached places, – arrival and departure hour • Block user account
  • 14. Mobile Application • user registration and authentication • route selection – the user can request a specific route inserting the start point and the arrival point; • route visualization – once the user request a route, the application visualizes the backend response, i.e. the best calculated route, directly on screen as a red line on Google Maps; • reporting traffic condition – the user can also be “active”, helping to know where is a traffic congestion or an accident; • user tracker – the app sends automatically information about user’s position to the backend. These features can be activated or deactivated by the user.
  • 17. Problems encountered • The trade-off between available data and collection of our specific data through data collector • The correct methodology for route recalculation • Finding solutions effectively innovative and useful for the user
  • 18. Next steps • Finalization of the methodology – Re calculation of the routing – Multi user management • Sources based on pollution Data • Mobile app finalization • Extension to big Italian cities such as Rome (under discussion)
  • 19. Demo Download the app from: •http://www.t-connect.it/trafficshaper/download.html Your comments are welcome to: Remo Pomposini remo.pomposini@gmail.com
  • 20. Thank you for your attention Federica Santuccio Innova S.p.a. F.santuccio@innova-eu.net
  • 21. Elaboration engine 3/3 • route elaboration engine – it performs the simulation, – Input: the data coming from the controller – Output: the best path for each user. – SUMO framework in order to perform traffic simulation. • SUMO classic simulation: it uses the Dijkstra algorithm to find the optimal route for each car in terms of travelling time. – This method is reliable in terms of output, i.e. it find the best route for each user – it is very slow, it has a lot of computation; • DuaRouter: also this methodology adopt the Dijkstra algorithm for each users, but in this case is only performed the shortest path and not a full simulation in the time, – it lacks of important output data such as the travel time. – The advantage of this method is the execution time that is about 70% -80% less than the first one; • follow engine: – it follows the user movements in order to calculate traffic in real time; • routes interpreter: – it converts the route elaboration engine output, in order to show it to the final user;