Abstract. The recent advancement in Information & Communication Technology (ICT) is seen as a critical enabler to design intelligent smart cities targeting different domains. One such domain is modes of transport in a city. Currently, various cities around the world are envisioning innovative ways to reduce emissions in the cities by increasing physically active mobility. However, there is still limited information about the safety of cyclists and pedestrians within city limits. To address this, we develop a 3D web-based safe routing tool called Vision Zero. Our concept prototype used Augsburg city, Germany, as a case study. The implementation is based on open-source tools. In the back-end, the OGC 3D Portrayal Service standard helps to deliver and integrate various 2D and 3D geospatial contents on a web-based client using CesiumJS. The OGC SensorThings API (STAPI) standard is used to manage historical and real-time open road-incident data from the Federal Statistical Office of Germany. The navigation system is built up based on the routing engine pgRouting, which calculates the safest route based on the mentioned STAPI server and the road-network dataset from OpenStreetMap.

Abstract. Urban platforms are becoming a vital role player in city resources management for achieving the right balance between social and economic services and their impact on the environment. More and more cities are starting to benefit from an urban platform to state the city conditions and re-coin the shape of life depending on data gathered from different city systems. However, urban platforms need further support of data analytics in respect of reaching a smart city platform helping city planners with better decision making. Besides, the majority of operational urban platforms consider 2D data only, missing out on the possible information that could be obtained from 3D city models. This work proposes a concept for an urban platform that supports data manipulation and visualization plus interactive analytic functionalities. As a prototype, an urban platform is implemented for integrating and processing 3D city models and 2D traffic data to derive air pollutants emission rates with analytic visualization, leading urban planning to concentrate on the most affected areas. In addition, interactive features are implemented, including filtering, querying, and classifying data to support the analytic visualization in the developed urban platform.