Our achievements

Jungle Bus

Jungle Bus creates better data for transport mobility. The aim is to use this data to create the innovative services of tomorrow. Jungle bus collects and enriches data in collaboration with the Open Street Map community. The project is to set up the Daba’Go application in Abidjan based on data collected by Jungle Bus.

Daba’Go was chosen for its expertise in public transport especially informal in African countries. As part of a large-scale project in the Sahel region, the World Bank is working to map all public transport in the Mauritanian capital, Nouakchott, and to make this data public via open-source platforms such as OSM (OpenStreetMap) and Mapillary.

World Bank

Other Achievements

Daba'Go Achievements

Jungle Bus Achievements

Bank Achievements1

DabaGo and the context of urban mobility in Africa

For years, large African cities have been experiencing strong growth and exponential development, putting urban mobility under pressure. In this ever-changing ecosystem, DabaGo is positioning itself as an essential tool to address the transport issues of African cities.

Public transit, which is environmentally friendly, economical and practical, is obviously part of the solution. The availability of a rich and constantly evolving network leads to a rapid development that induces structural problems for the associated ecosystem and can harm the understanding and experience of users.

Between the irregular passage times and the lack of information due to the independence of the actors, it is difficult if not impossible to obtain the ideal route starting from its cost at its departure station. These difficulties lead the population to use their individual vehicles.

L'application DabaGo

The DabaGo app, 100% free, is adapted to the reality and complexity of each city. This allows the orchestration of the different types of transport and to find the optimal route for each user while respecting the constraints of time, budget or preference of transport of the user.

DabaGo is implementing a new model of predictive algorithms that can use Deep data, Incremental Learning, remote monitoring and an IOT network to evolve live and continuously.

What is at stake ?

DabaGo responds to economic challenges by enabling investment optimisation and access for all to transport, but also to ecological challenges by relieving congestion in cities and reducing individual impact.

L’application permet une optimisation des trajets, rendant chacun, acteur de la mobilité de demain. DabaGo révolutionne donc la mobilité urbaine en s’implémentant dans les Smart Africa et les ODDs. Elle se pose comme un jalon de la smart city.