1. IST-Africa Hack
TEAM 9: Open Transport Map Applications for
Africa
presented by Daniel Beran, 2019-05-10

2. Introductory motivation
• Traffic is dynamic,
your decision making should be too.
STM tool:
•Server based traffic modeling tool with web API
•Be able to model “what-if” analysis of city traffic
•Pilot cities at the moment: Pilsen (Czechia), Flanders
(Belgium)

3. Existing Pilsen pilot application

6. • Q: Can we develop a STM app for an African city
with open-source data?
IST-Africa Hack
TEAM 9: Open Transport Map Applications for Africa

7. Workflow

8. Web application of Nairobi traffic

11. How it can be improved
•Open source data has its limits.
•For precise modelling we would require:
•Realistic network attributes (i.e. capacity, speed)
•More dense dataset of traffic generators
•Local specific knowledge of car usage
•Calibration data

12. What was achieved
• Co-working of Czech and Kenya local experts
• Basic traffic model of Nairobi in Web STM app
• Bottle necks of traffic modelling with open
source data

13. Thank you for your attention
IST-Africa Hack TEAM 9: Open Transport Map Applications for Africa
František Kolovský
Karel Jedlička
Jan Sháněl
Davince Koyo
Paul Omulokoli
Mugeha Laura
Daniel Beran