Interactive Mobility Management without Sensors or Hardware. A platform for Pushing Mobility Policies to the end User

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1 Interactive Mobility Management without Sensors or Hardware A platform for Pushing Mobility Policies to the end User

2 Growth and Evolution of cities

3 Population in cities

4 Traffic h/ inrix-2015-urban-mobilityscorecard/

5 Carbon emissions

6 Walkable urban centres Level 1 or level 2 periphery parking spaces Better public transportation Bicycle friendly city centres and peripheral streets Locally centred city life

7 Open Data & Private Data Open Data Traffic Congestion City events Taxi Stops Public Transport Accident records Private Data Criminal records Pollution in the city Delivery services City occupation Mobile tracking

8 Policies & mobility control City Improve mobility Know citizen mobility Create policies Understand effects Reduce pollution, accidents Companies Friendly with city Save fuel Understand mobility Reduce risks Eco friendly

9 Making Big Data Actionable

10 Main elements: Web App for the city/company to design mobility actions/policies, understand how they are executed and automatically modify them. Off-line Mobile Technology to execute mobility decisions based on policies received from the Web App.

11 is unique Sparksee Mobile in-device off-line technology and tracking It can be used in any existing App with the smallest effort Gives a compromise between needs of user and provider Actionable real time change of criteria

12 uses cases Tow away services Tourism Taxi Home medical services Police management Cycling safe and healthy Adaptive mobility Electric vehicle Delivery areas

13 Smart Mobility Freight delivery optimization Real-time managing load/unload spots to maximize their value Adaptive Mobility Real-time push of information to car navigation systems Tourism & shopping Create smart routes that take into account the city mobility needs.

14 Use data from delivery check-ins to provide value added information about where deliverers might find a free space Assign a route to each truck according to their location and availability Visualise how the fleet is moving around the area, identify hot spots and make the city less crowded

15 Delivery spots Barcelona AreaDUM

16 ~ 2,000 delivery spots > 45,000 check-ins per day Total check in figures - Barcelona AreaDUM Work done by Petar Mrazovic

17 Check ins in one spot - Barcelona AreaDUM Carrer Fontanella 12

18 Average check ins/weekday - Barcelona AreaDUM

19 Barcelona AreaDUM - Auto Correlation Function

20 Check in clustering - Barcelona AreaDUM Larger mean occupancy in central areas of the city! Cluster 6 with very few but significant AreaDUM spots!

21 Check in densities along day - Barcelona AreaDUM Hot spots vary in the morning (8:00-10:00) and evening (18:00-20:00)! Hot spots similar during the day!

22 Density of Ckeck ins Barcelona AreaDUM Different densities. Main streets (Diagonal and Gran via) with lower densities! Denser in the city center (zones 4 & 5) and eixample (zone 1)!

23 Tourism & shopping Use the off-line official tourist guide of Barcelona and have tailored itineraries with detailed information about the city. I can show you a demo during coffee break. Create mobility policies (avoid dangerous areas, increase the visits to certain areas for economic development). Inject those policies at zero effort: automatically. Use tailored criteria to increase the visits to specific shops and POIs. Use case in development for

24 Adaptive mobility Use the Open Data about pollution, events and mobility in the city to change the navigation of the vehicle in the city in real time. Allow SEAT know how the fleet of vehicles behaves and understand how mobility is about. Have a control over the mobility policies applied to fleet. Be friendly with the needs of the city by changing the policies at ease. R+D in cooperation with

25 Thanks!

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