Mobility Insights Heidelberg - Urban Traffic Flow Monitoring, Mobility Streams

[#1]

Team Name	Mobility Insights Heidelberg
Track	Public Sector, IoT
Use Case	Urban Traffic Flow, Mobility Streams
Technology	Python, JavaScript, SAS Viya Visual Data Mining and Machine Learning,  Integration if Open Source Software in the SAS Viya Platform, SAS Visual Analytics, IOT, Forecasting, Optimization, Text Analytics, NLP, Statistics, Data Management, Timeseries Management, Geocoding with the OSM Api and Google Maps APIs, Model Interpretability, Trustworthy AI, Model Deployment, Model Integration in Online Parking Application.
Region	Use Case in Heidelberg, Germany (Team Members from UK, Almaty Kazakhstan, Yerevan, Armenia and Germany)
Team lead	Benjamin Gärtner @benj_gaertner
Team members	Julian Dinter @JDinter, James Swinnerton @jswinnerton1  @mh-at-fujitsu @pm_at_fujitsu,   Dzmitry Vabishchewich, Denis Ryzhov, Esther Euteneuer, David Häsler, Max Kastner, Dominik Fischer. Team Mentor: @SnowTiger (Ulrich Reincke)
Is your team interested in participating in an interview?	Y
Optional: Expand on your technology expertise	We are looking for the following expertise for our team:  Python (Data Collection, Data Cleaning, Data Exploration, Data Visualization), JavaScript (Data Visualization), Geographic Information Systems
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Plan	Discover, analyze, and forecast as well as a simulation of mobility streams in urban areas by intersecting mobility data (traffic-, bike & people-counting, public transport, and parking data) with weather data (own sensor data, as well as public forecasts) and event data (date, location, size) to increase quality of life und foster environmental sustainability In Heidelberg.
Motivation	Predicting traffic loads and visitor flows is a major challenge in permanent city management and planning. The idea is to discover dependencies between the different means of transportation and the weather as well as further urban data (like e.g. events, holidays). Based on these insights, forecasting and predicting traffic loads and visitor flows in the urban area are key to create a comprehensive city management. The main goal is to generate insights to predict possible hotspots and bottlenecks at an early stage to provide city planners and event organizers with a better understanding and basis for planning. Possible questions could be: - Does the weather influence the choice of transport? - Where are the highest traffic flows located? - Which is the most preferred mean of transportation? - Are there any external influences for the choice of the means of transportation (rain, road works, vacations (school or semester))?
Jury Video
Pitch Video
Team Roles

[Nela10]

Hi,

I am interested to join a team. My backgound is data science and analytics (7 yrs experience).

My skills: Python, AWS, SQL, Power BI, SAS.

[LGroves]

Just a fantastic project - with an impressive team of researchers.  Well executed and interesting study, Mobility Insights Heidelberg - I suspect we'll see you somewhere at the awards ceremony.

Cheers!