Update 2/11/2016: At present, there is new development of the testbed. If you are interested in specific features, you should contact Michal Čap.
A key challenge in understanding market-based on-demand transport services is that it is not just a local problem; i.e., the behavior of an individual market. Since there are usually a number of allocations going on at the same time and individual markets are changing over time another approach is required. In fact, a rigorous evaluation requires a study of how the on-demand transport interacts with the underlying transportation network and even other dynamics of the city as we alluded to in our working paper here.
The field of multiagent systems provides a good framework to study how markets behave when they are embedded in transportation networks. Within this framework, drivers, passengers and even providers are modeled as autonomous agents. This means that each driver, passenger and provider makes its own decisions based on their own preferences and the information that is available to them. Using the multiagent systems framework allows us to capture differences in the preferences of individual drivers, passengers and providers and also competition between them.
In recent papers (see here and our preprint here), we studied how the mechanism performed on in the Hague with a realistic demand profile for passenger requests. The basis of our network-scale evaluation was a simulation tool: the mobility services testbed. This simulation tool was developed by Michal Certicky and Michal Jakob at the Czech Technical University in Prague.
The mobility services testbed provides an easy way of implementing different market mechanisms in the context of on-demand transport. You can get it from github here.
For an overview of other aspects of mechanisms for on-demand transport, see these posts:
- Mechanism design for on-demand transport
- Market-based on-demand transport
- Data-driven market formation in on-demand transport