Innovative solutions for mobility 4.0 were the key focus at the first Government Hackathon, the BMVI Data Run 2015. Participants had around 24 hours to mould their ideas into practical concepts. The clear winner was the group AmazingMapMen. They developed an application for intelligent traffic control based on sustainable criteria.
The hackathon took place at BMVI in Berlin. Around 80 participants entered the competition. Data sets from sectors like meteorology, road traffic and barge traffic were provided.
The winner of the category Profitability Potential was the team AmazingMapMen, consisting of experts from con terra, Esri Deutschland and Geocom Deutschland. They also won the audience award.
For their project, the AmazingMapMen relied on real time traffic management via geo data mining. Their target was to provide route recommendations to cars and lorries on motorways. The specific challenge: Using qualified routing to relieve highly frequented road sections and consequently reduce traffic noise or risk of congestion. The impact of the conditions of bridges was also factored into the classification.
The AmazingMapMen therefore also considered a potential incentive structure for drivers and navigation services providers. One proposal was a discount on road tolls for lorry drivers who follow the recommended routes.
The results were presented to the jury via a webbased StoryMap, just three minutes were intended for them. A race against time, yet sufficient to leave a deep impression on the jury members. Apart from AmazingMapMen, Team Aurelis was among the winners of the hackathon.
Following the competition, both teams successfully applied for BMVI funding to implement their projects.
MDM selected the data sets for the competition and provided them to the participants via USB sticks. For the next BMVI Data Run 2016 there is likely to be direct access to the entire offer of MDM.
By the way, the AmazingMapMen will support MDM in the future to further facilitate easier data access, e.g. by transforming the existing data from DATEX II-format to further common data formats.
The team used data sets on traffic volume, and traffic reports, as well as environmental data and information regarding noise barriers from the Federal Highway Research Institute (Bundesanstalt für Straßenwesen). They also accessed other open geo data.
The developed application allows a more effective and sustainable use of the traffic network. The aim of intelligent traffic management it to reduce traffic noise, save infrastructure and thus provide economic benefits to everyone.