摘要：AbstractModern urban planning not only has to coordinate the needs of many different inhabitants and traffic participants, but also faces other challenges such as modal shift towards sustainable transportation. A comprehensive database of historical traffic, which would facilitate a decision based on data, is lacking in many cities. This became clear in consultation with our partners from the city of Krefeld. A novel method is the use of public available traffic information such as traffic colors or travel time data from navigation providers.In this contribution a method is applied to estimate the travel duration from the traffic colors on city level. Here we show for the first time how it can be applied cost-effectively and how the accuracy can be estimated in combination with a validation of the database by test drives for urban streets. It will also be investigated, whether speed variation has an influence on the estimation of driving time. We found out that this influence is negligible for the investigated example and the mean deviation of estimation accuracy from the measured values is less than six percent. Based on these promising results, it is possible to build up a database for improved urban and traffic planning at low cost. This can lead to better information for all traffic participants, thus, an improved traffic flow control could result in a reduction of car traffic emissions in the end.
