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Big data for improved traffic flow quality

UVM 2 - Big data for improved traffic flow quality

Project overview:
Network-wide identification and analysis of overloading in the transport network
Identification of areas where pollutant emission levels are being exceeded
Weakness and root cause analysis
Development of a planning tool for environmentally sensitive traffic management


Project partners:
City of Frankfurt/Main
TraffiCon – Traffic Consultants GmbH
GEVAS software GmbH
AS+P Albert Speer + Partner GmbH
PROPROJEKT Planungsmanagement & Projektberatung GmbH

Project duration: May 2019 to April 2021

The project “Big data for improved traffic flow quality” is subsidised by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of “Saubere Luft 2017 – 2020”, its immediate action programme for clean air.

Due to the ongoing urbanisation of the Rhine-Main Metropolitan Region, the growing volume of traffic in Frankfurt/Main is stretching its existing traffic infrastructure further and further beyond its limits. Pollutant emission levels are consistently being exceeded as a result of this. To counter this, the City of Frankfurt/Main is counting on innovative and environmentally friendly traffic management measures. Additionally, a big data web platform is set to be used to analyse traffic and environmental impacts.

The data have to be analysed in detail before the effects of traffic influences and management decisions can be evaluated. That is why a big data web platform is being developed as part of the project entitled “Impact analysis of traffic management measures on the basis of traffic, environmental and weather data”. The impact of traffic management measures is analysed on the basis of current and historical traffic and environmental data. This is expected to equip the operators of the integrated traffic control centre as well as traffic planners and engineers at the department for transport in Frankfurt/Main with a web-based analytical tool which functions intuitively and without any additional software.

On the web platform, large volumes of data inside and outside of the data system of the City of Frankfurt/Main will be analysed as part of a bigger picture. With big data architecture and suitable performance strategies, traffic and environmental effects can be queried with minimal calculation times in a process that is both flexible and user friendly. It will even be possible to select the time frames and areas of effect of individual measures. The effects of extraordinary occurrences such as building sites, major events or school holidays on the volume of traffic can even be analysed, as can the resulting excessive pollutant emission levels. Using graphs, tables and cartography, it will be possible to select individual and situational strategies based on the circumstances and adjust measures accordingly.

The intelligent linking and merging of data into one flexible, intuitive analytical tool is another step towards the digitisation of public transport systems.