Conference Papers 2020

Seminar
Day 1 (9 Sep 2020), Session 3, Ride Sharing, 15:30 - 17:30

Status
Accepted, documents submitted

Submitted by / Abstract owner
Kathrin Viergutz

Authors
Kathrin Karola Viergutz

Short abstract
The aim of the conference contribution is to discuss a model that reflects the cause-effect relationships between the interests of users and operators of demand-oriented mobility concepts.

Abstract
The aim of the conference contribution is to discuss the parameters and scenarios of a simulation of demand-oriented mobility concepts. For this purpose, a model is built with the simulation tool SUMO (“Simulation of Urban Mobility”) that illustrates an On-Demand operating concept in a certain examination area with regard to parameters like travel time and fleet size.
On-Demand Mobility, also known as Ridepooling or Demand-Responsive Transport (DRT), is a digital demand-oriented mobility concept, in which temporally and spatially corresponding trip requests of several passengers are bundled in real-time. The resulting route can be dynamically adapted to further trip requests. These mobility concepts are currently being tested in pilot operations in various large and medium-sized cities worldwide. To design a successful On-Demand concept, a complete understanding of the principles of On-Demand is necessary. In particular the inclusion of technological, organisational and operational requirements is one of the challenges of transport and mobility research.
For this purpose, the development of a traffic simulation with the simulation tool SUMO is described. A simulation makes it possible to try out different operating concepts with different assumptions and to analyse the results and effects. These can be used to investigate the cause-and-effect relationships of On-Demand mobility and also serve as a basis for further investigations as well can serve as a preparation of the introduction of a mobility system into the real world. SUMO is an open-source software for microscopic traffic simulation that allows the simulation of different modes of transport and mobility concepts and is constantly being further developed. Suggestions for the development of simulation scenarios are given. The setup of the simulation is illustrated using the example of Schwarzer Berg, a district of the city of Braunschweig in Lower-Saxony, Germany.

Programme committee
Intelligent Mobility - Management and Operation

Topic
The future of transport