Betrieb eines On-Demand Shuttles

Within the scope of the project MORE , new mobility concepts are researched and will be put into practice. One of these new mobility concepts is an on-demand shuttle operation in Unicampus Neubiberg. 

An on-demand system can be defined as a transport mode where vehicles do not travel with a predefined timetable at a predefined route to transport passengers. Instead, passengers request a vehicle via an app when they need (flexibility in time) and can travel directly from origin to destination (flexibility in route).

The core of an on-demand shuttle system is an intelligent matching algorithm, where vehicles and passenger requests are matched together in an optimized way. This optimization may have many parameters depending on the type of operation, hence one of the aims of this project is to investigate the interaction of such parameters and their impact on the key performance indicators (KPI) of the on-demand operation.

Algorithms will be developed, adjusted and tested firstly in a microscopic traffic simulation. Since state-of-the-art simulation models does not mostly deal with dynamic routings where vehicles travel an arbitrary route triggered by some passenger requests, an external programming will be necessary. In this way, it will be possible for vehicles to drive to pick-up as well as drop-off points. This is a major achievement in the project, since the standard microsimulation tool can henceforth evolve into an on-demand platform including shuttle systems, micromobility, PRT and many more. 

Different operational scenarios will be defined, such as ride-hailing vs. ride-pooling, real-time booking vs. advanced booking or virtual stops vs. stop anywhere regime as well as assessed via the system KPIs. Results of these scenarios will be used in the design of the live-operation in the campus to have a more efficient and optimised operation. 

Work packages

  • Concept development
  • Set-up of traffic simulation
  • Evaluation of scenarios
  • Live operation


On-demand shuttle stops and available routes, envisaged for the traffic simulation:




Oytun Arslan M.Sc.

Oytun Arslan M.Sc.

Wiss. Mitarbeiter
Gebäude 41/100, Zimmer 6123
+49 89 6004-2525