VIM project

Virtual Mobility World


Use cases

The evaluation of the platform will be carried out in the context of the project in different case studies, both offline and online.

Examples of simulation (offline) scenarios are:

  • Traffic efficiency scenario: A traffic scenario for a specific region will be investigated that starts shortly before the rush hour and has the characteristic congestion. Based on measurements such as CO2 emissions or travel times, then e.g. an alternative traffic management will be evaluated. Ideally, in this use case (fictitious) start and finish locations are offered in order not to limit possible solutions to individual traffic. This scenario can be created using real traffic counts and simulated with SUMO. A conceivable second scenario in the context of traffic efficiency is the consideration of a larger motorway network, where heavy traffic develops during the simulation on a motorway. The goal should also be here to keep travel times as low as possible. This can be done for example by early congestion detection.

  • Ride-sharing scenario: A rural scenario will be investigated in which there are different mobility demands. The scenario will include public transport, as well as occurring mobility requests. The goal is then to meet the mobility demand as efficiently as possible. For evaluation, the measures of waiting time and travel time can be used.

  • Accident avoidance scenario: Based on real, high-resolution mobility data, accidents can be virtually reconstructed. The aim of this use case is to study how to avoid accidents via innovative approaches, such as joint avoidance maneuvers using vehicle-to-vehicle communication. Various types of accidents (for example, overtaking, violation of priority) will allow the users of the framework to try different solutions.

Extensions of these use cases to other scenarios and applications should be possible in many ways. For example, the above scenarios can be combined with integration of traffic forecasts and driving recommendations, consideration of electro-mobility and interaction with the energy supply or other smart city simulations.