(dynamic) ride (sharing) by TUM

[tschlenther]

TU Munich has developed a module for simulating private ride sharing.
It is described in this master's thesis.

It works via listener that matches riders and drivers between the iterations (before replanning).

• So far, the matching algroithm seems not to be replaceable.
• The driver's plan is adjusted in order to reflect pickup and dropoff activities. BUT: changes to plans are reversed after the mobsim...
• Waiting for each other is implemented.
• More parameters like minimum rider leg distance, penalty for no match, etc.

Case Study:

They investigated strategies to incentivize dynamic ride sharing in an Upper Austria model.