Building smart green mobility in South Tyrol through an open data hub
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The document discusses the vision for smart green mobility in South Tyrol through an open data hub, highlighting innovations in e-mobility, autonomous driving, and mobility-as-a-service. It outlines various projects aimed at enhancing public transport, implementing eco-friendly traffic management, and leveraging real-time data to improve the travel experience. The document emphasizes collaborative efforts among companies, research institutes, and public organizations to drive research and innovation in the mobility sector.
![28
The BrennerLEC project (2016-2021, 4.0 M€)
Duration of test sessions 1.918 hours
Duration of valid test sessions 1.227 hours
On working days 72%
On holidays and days before
holidays
28%
During the summer 27%
During the winter 43%
During the other seasons 30%
Valid test sessions:
• Complete functioning of test site
equipment
• Absence of traffic events (different
VMS messages)
• Minimal observance of reduced speed
limits by light vehicles (average lower
than 115 [km/h])
Impacts’ assessment
Favorable tests conditions
• Wind flowing from the highway in direction to the air quality stations
• Differences in the average speeds measured at the two monitoring sites greater than 10 [km]
• Minimal amount of traffic, greater than 20 vehicles every 10 minutes
730 hours](https://image.slidesharecdn.com/190731noi-190805170303/85/Building-smart-green-mobility-in-South-Tyrol-through-an-open-data-hub-28-320.jpg)
![29
The BrennerLEC project (2016-2021, 4.0 M€)
Results
Results are expressed in terms of difference between the concentrations at km 107+800 (no speed
limits) and at km 103+700 (speed limits). Values are in [µg/m3].
-10% concentrations (at roadside level) @ average speed reduction of 15 [km/h]
NO2
NO](https://image.slidesharecdn.com/190731noi-190805170303/85/Building-smart-green-mobility-in-South-Tyrol-through-an-open-data-hub-29-320.jpg)
Building smart green mobility in South Tyrol through an open data hub
- 1. Building smart green mobility in South Tyrol through an Open Data Hub Roberto Cavaliere NOI Techpark 31.07.2019
- 2. 2 Main innovations in mobility sector E-mobility Source: ABB Cooperative ITS Source: Continental Autonomous Driving Source: Italdesign Source: Deloitte Mobility-as-a-Service
- 3. 3 Main innovations in mobility sector E-mobility Source: ABB Cooperative ITS Source: Continental Autonomous Driving Source: Italdesign Source: Deloitte Mobility-as-a-Service 1 2 3 4
- 4. Think global, act local
- 5. 5 «Glocal» challenges (1): Environment
- 6. 6 «Glocal» challenges (2): Traffic congestion
- 7. 7 «Glocal» challenges (3): Road maintenance Source: Province of Trento
- 8. 8 Opportunities: high-quality PT backbone
- 9. A «smart green mobility» dream for South Tyrol
- 10. 10 Imagine to have… (1) Temporal fees / pay-as-you go, all transportation services included. • Public Transport • Car sharing • Bike sharing / rental • Taxi and other on-demand services (remember old and disabled people!) MaaS becomes a market for creating integrated (e.g. with tourism) and personalized services.
- 11. 11 Imagine to have… (2) Urban mobility only through sustainable / shared modes Entrance to urban areas is possible through flexible / on- demand public transport empowered by e-bike sharing services covering neighboring villages as well, where most inter-modal nodes (e.g. park&ride facilities) are located.
- 12. 12 Imagine to have… (3) Enhanced travel experience while crossing South Tyrol Localized information of POIs through (AI-empowered) virtual assistants. Rewarding schemes that incentivate to adopt a driving style which is more appropriate for the alpine territory they are entering. Source: Mercedes
- 13. 13 Imagine to have… (4) Automated road maintenance services Special autonomous vehicles travel through South Tyrolean roads performing automated services «instructed» by human-supervised tasks’ dispatching platforms, empowered by decision support systems and AI. Source: Volvo
- 14. The road to the dream: the Open Data Hub
- 15. 15 Why an Open Data Hub? Companies Research institutes Public organisations Associations Needs Pilot solutions Needs Pilot solutionsReal research challenges Research outputs Innovative products & services Innovation accelerator
- 16. 16 Why an Open Data Hub? T1: Public Transport and Sharing Mobility T2: Environmental Traffic Management T3: Road Weather Information Systems Mobility Service / Information Providers (Cooperative and autonomous) ITS technologies + AI algorithms Drive technological innovation Fuel service providers’ market
- 17. 17 Why an Open Data Hub? Data «Big Data» Layer «Monitoring» Layer Traffic Parking Air pollution Weather Car sharing Bike sharing E-mobility Ride sharing RWIS «Service» Layer Open data interface Decision Support Systems Service Providers An open ITS environment developed through different EU-funded projects, aiming at driving R&I in South Tyrol in a collaborative form Public transport Real- time «Elaborations» Layer Elaborations providers
- 18. 18 Why an Open Data Hub? Data provider 1 Data provider 2 Data provider N … Smart mobility Data Hub Tourism Data Hub … Content provider API Elaborations provider Service provider 1 Service provider 2 Service provider M … Open API Smart services
- 19. 19 Why an Open Data Hub? Challenge: Ensure that South Tyrol is known by the «Internet of Things» and the virtual reality Source: smileexpo.ru Self driving cars will give real-time local information to (occasional) travelers by connecting to the Open Data Hub Occasional visitors and inhabitants could easily get from futuristic virtual assistants real-time local information thanks to the Open Data Hub.
- 22. 22 The MENTOR project (1) • Demonstration of «seamless mobility concept» (MaaS for alpine towns) • Launch of new sharing services: e- bike sharing for connecting neighboring municipalities, flexible / on-demand public transport ride sharing. • Promotion of services through real- time information at inter-modal points and gamification activities. (2017-2020, 1.4 M€)
- 23. 23 The MENTOR project (2) • Public demonstration of autonomous shuttles (09.2019) • Analysis of future applications for first / last mile services in South Tyrol. • Game changer for (economically) sustainable MaaS schemes? (2017-2020, 1.4 M€)
- 24. 24 The BINGO project (2016-2021, 4.1 M€) • Enhancement of integrated public transport system by means of an open technological ITS platform. • Real-time data integration from all public transport vehicles of all operators. • Next generation ticketing systems, with progressive abandon of magnetic tickets. • Towards a complete «Mobility-as-a- Service» environment in South Tyrol.
- 25. 25 The BrennerLEC project (2016-2021, 4.0 M€) • Environmental traffic management system concept on A22. • Semi-automatic activation of «eco- friendly» traffic policies (in particular: dynamic speed limits) based on joint computation of real-time and forecasts of pollutants’ emissions / dispersion and travel times. • Definition of a concept of “Low Emission Corridor” for the entire Alpine crossing (Affi – Kufstein).
- 26. 26 The BrennerLEC project (2016-2021, 4.0 M€) Dynamic speed limits due to air quality levels Dynamic speed limits due to traffic conditions Joint real-time traffic information & route diversion • Phase 1: 03.2017 -09.2018 • Phase 2: 10.2018 -05.2019 From “manual” approaches (detect / react, calendar tests) to “smart approaches” (decision support system) • Phase 3: 06.2019 -12.2019 • Phase 4: 01.2020 -04.2021
- 27. 27 The BrennerLEC project (2016-2021, 4.0 M€) Phase 1: 03.2017 -09.2018
- 28. 28 The BrennerLEC project (2016-2021, 4.0 M€) Duration of test sessions 1.918 hours Duration of valid test sessions 1.227 hours On working days 72% On holidays and days before holidays 28% During the summer 27% During the winter 43% During the other seasons 30% Valid test sessions: • Complete functioning of test site equipment • Absence of traffic events (different VMS messages) • Minimal observance of reduced speed limits by light vehicles (average lower than 115 [km/h]) Impacts’ assessment Favorable tests conditions • Wind flowing from the highway in direction to the air quality stations • Differences in the average speeds measured at the two monitoring sites greater than 10 [km] • Minimal amount of traffic, greater than 20 vehicles every 10 minutes 730 hours
- 29. 29 The BrennerLEC project (2016-2021, 4.0 M€) Results Results are expressed in terms of difference between the concentrations at km 107+800 (no speed limits) and at km 103+700 (speed limits). Values are in [µg/m3]. -10% concentrations (at roadside level) @ average speed reduction of 15 [km/h] NO2 NO
- 30. 30 (2016-2021, 4.0 M€) The reason why Bad! Good!
- 32. 32 The BrennerLEC project (2016-2021, 4.0 M€) Lessons learnt Total nr. Hourly vehicles vs vertical air temperature gradient Γ > 5°C/km -5 < Γ < 5°C/km Γ < - 5°C/km n < 500 - 0.9 3.9 500 < n < 1000 - 4.0 13.1 1000 < n < 1500 2.1 10.8 18.2 1500 < n < 2000 10.6 14.7 29.8 2000 < n < 2500 15.2 20.5 - 2500 < n < 3000 16.2 19.5 - n > 3000 12.2 23.8 - Speed limits reduction are optimal in certain meteorological conditions and with certain traffic levels
- 33. 33 The BrennerLEC project (2016-2021, 4.0 M€) Phase 2: 10.2018 -05.2019 km 103 km 107 Sottotratto 103 Sottotratto 107
- 34. 34 The BrennerLEC project (2016-2021, 4.0 M€) • Under development an application that can enhance the travel experience on the highway, and support the compliance of the dynamic policies. • In the form of an audio guide that can not only e.g. recommend the transit through the test stretch, but also highlight the presence of POIs. • “Best” drivers will be rewarded according to the real driving speed measured by the application
- 35. 35 Phase 3: 06.2019 -12.2019 Air quality: predict, act, verify | Traffic, measure, act, verify
- 36. 36 Phase 3: 06.2019 -12.2019 • State change as a function of: • (Equivalent) nr. of vehicles • Average speed • Speed variance evaluated on a lane level. • Initial thresholds to be empirically fine-tuned 21 Media Partners 130 110 100 9080
- 37. 37 Phase 3: 06.2019 -12.2019
- 38. 38 Phase 3: 06.2019 -12.2019
- 39. 39 Thanks for the attention! Roberto Cavaliere r.cavaliere@noi.bz.it