SMART MOBILITY HACKATHON
3 themes & 9 challenges
Solve the mobility challenges of tomorrow! Based on Norway's National Transport plan, Statens Vegvesen and Entur has chosen 3 themes with 9 challenges that formes the foundation for new servies and innovations for Norway's mobility scene.
Traditional public transport (bus, subway, tram ++), shared bikes, shared car services and various forms of shared micro mobility. How can this collectively be used to give us the best transportrecommendations possible?
Utilize traffic data to improve recommendations for passengers travelling with non-private transport (or as an alternative, show how you would have solved this with data that is not currently available).
Data from 9 different sources both static and real time data will be made available for this challenge.
In and around the cities there is a variety of different means of transport available to the public: Traditional public transport (bus, subway, tram ++), shared bikes, shared car services and various forms of shared micro mobility. How can this collectively be used to give us the best transport recommendations possible?
Utilize traffic data to improve recommendations for passengers travelling with non-private trans- port (or as an alternative, show how you would have solved this with data that is not currently available).
Data from 9 different sources both static and real time data will be made available for this challenge.
Although climate change imposes challenges for road traffic, road users should ideally not expe- rience reduced mobility as a result of changing climate. Many measures for ensuring robust and accessible roads have been identified and are implemented regularly. In order to establish good practices and allocate resources efficiently, Statens Vegvesen need better indications of the benefits that these measures have on transport.
Question:
Can traffic data, variations in capacity and number of traffic disruptions be related to the level of investments in providing robustness (protection, renewal, costs of repairs after weather related events)?
Contribute to identifying existing data / required data to develop good indicators of successful infrastructure improvements done to avoid and recover from climate related incidents.
Data from 7 different sources both static and real time data will be made available for this challenge.
The engineering process from initial planning to completed construction of road infrastructure is complex, time consuming and dependent on numerous variables. It also requires a significant amount of material and machinery, both contributing to the carbon footprint.
Make an estimation on carbon footprint related to planning and construction of road infrastructure in Norway with available data (or as an alternative, show how you would have solved this with data that is not currently available).
Data from 5+ different sources both static and real time data will be made available for this challenge.
Vehicle mix, and transportation mode have changed over the past years, but still have a signifi- cant emission of CO2 as well as NOx and PM contributing to poor air quality. This footprint could be calculated top-down based on e.g. fuel consumption or bottom-up based on traffic volume distributed over the road network, congestion, vehicle mix, emission factors, speed limit and geo- metric properties of the road. The Norwegian Environmental Agency and the Norwegian Public Roads Administration are developing an emission database for exhaust with open APIs.
Make an estimation on carbon footprint from road transport in Norway with available data (or as an alternative, show how you would have solved this with data that is not currently available).
Data from 7+ different sources both static and real time data will be made available for this challenge.
Extreme weather affects, among other things, the traffic. This can be seen from the variations in traffic flow (reduced road capacity), and the number of disruptions or road closures. The usual weather-related events causing disruptions are heavy rain, heavy snowfall, or storms with strong wind or storm surges along the coast. This depends on the geographical area. Climate data for the present climate and climate projections for the year 2100 also provide patterns of geographi- cal variations. The Norwegian Public Roads Administration wish to use traffic data together with climate data (for present and future climate) to identify especially vulnerable spots for transport in the face of climate change.
Use existing traffic data and climate data to illustrate /analyze how adverse weather and extreme weather affect traffic patterns, and how we can use this information for better planning and mana- gement (or as an alternative, show how you would have solved this with data that is not currently available).
Data from 6+ different sources both static and real time data will be made available for this challenge.
COVID-19 has challenged public transport. Travellers are asked to use public transport with caution and the total number of seats available have been reduced from traditional levels. This has led to a shift in both the perception and usage of public transport, and consequently also for other means of transport. Many travellers have begun bicycling, walking and using various forms of mi- cro mobility - others choose to use their private car, the latter becoming an increasing challenge.
How can public transportation become safer and remain a great alternative to using private cars in the light of the recent pandemic?
Data from 6+ different sources both static and real time data will be made available for this challenge.
Norway is one of the leading countries on road safety and is working continuously to prevent and reduce the number of road related accidents. To further increase road safety on our roads, big data and new technology is expected to play a vital role.
Objective: The Norwegian Public Roads Administration has developed two data sets containing information on traffic, speed limits, road length, accidents (and more) for E6, E16 and E18. How can this data, in combination with other data, help reduce the number of road related incidents further?
Both the Norwegian Public Roads Administration and Entur acknowledge that they don’t have the complete understanding of all the relevant problems and all the possible solutions. Therefore, we encourage you to show us technical and/or conceptual demonstrations how we more efficiently can leverage data/new technology to achieve an efficient, environmentally friendly and safe transport system. This category is open, but the following points can potentially be used to give direction:
• What data would be on your wishlist in order to solve a specific problem?
• Do you possess data that can provide relevant insight?
• Are you able to see data connections we are not able to see?
