SUMO User Conference 2021

September 13-15   •   Online

The Paper and Abstract Submission Deadline is now Monday, May 17th, 2021.

Introduction

Traffic simulations are of immense importance for researchers as well as practitioners in the field of transportation. SUMO has been available since 2001 and provides a wide range of traffic planning and simulation applications. SUMO consists of a suite of tools covering road network imports and enrichment, demand generation and assignment, and a state-of-the-art microscopic traffic simulator capable of simulating private and public transport modes, as well as person-based trip chains. Being open source, SUMO is easily extensible by new behavioral models and can be dynamically controlled via a well-defined programming interface. These and other features make SUMO one of the most often used open source traffic simulators with a large and international user community.

Call for Papers

The conference focuses on presenting new and unique results in the field of mobility simulation and modeling using openly available tools and data. We expect a large variety of research topics and usage approaches. If you are working on a research project fitting the topics below, you are kindly invited to submit an abstract. Possible areas of interest include (but are not limited to):

  • Mobility and Demand Modelling
  • Traffic Simulation
  • Open Tools and Open Data
  • Modelling Urban Mobility
  • Traffic Applications
  • Traffic Management Solutions
  • Intermodal Transport
  • Autonomous Driving
  • Logistics Simulation
  • Vehicular Communication
  • E-Mobility
  • Reinforcement learning / Machine Learning

Paper Submission

Attention: We changed our paper submission process. We are now offering two submission types:

1) Scientific Papers:

  • All accepted scientific papers must be presented at the conference.
  • Scientific papers will be reviewed by at least 2 reviewers.
  • All accepted scientific papers will be published in the SUMO proceedings.
  • Scientific papers must be submitted in LaTeX or Word format before midnight, Monday, May 3rd, 2021 Monday, May 17th, 2021.
  • Scientific papers should be between 5 and 20 pages long.

2) Technical Presentations:

  • The SUMO conference gives the opportunity to present your topic during the poster session or an oral short presentation.
  • There is no need to write a scientific paper.
  • Possible technical presentations can be:
    • Results of Bachelor or Master theses
    • Live Demos
    • SUMO Use Cases
    • Project Presentations
    • Work in Progress which would benefit from the feedback of other SUMO users
  • Title and a short abstract (300 words) must be submitted until Monday, May 3rd, 2021 Monday, May 17th, 2021.

Templates and instructions for authors can be found here: https://easychair.org/publications/for_authors
Technical Presentations do not require following a template, feel free to use your own style.

Please submit your papers via EasyChair: https://easychair.org/conferences/?conf=sumo2021

Important Dates

  • Paper and Abstract Submission Deadline: Monday, May 3rd, 2021 Monday, May 17th, 2021.
  • Notification of Acceptance: End of June, 2021.
  • Camera Ready version due: Monday, July 19th, 2021.


Keynote

Ride-hailing and ride-pooling: State of the art, future research directions, and the role of traffic simulation

picture of Klaus Bogenberger

Univ.-Prof. Dr.-Ing. Klaus Bogenberger
Chair of Traffic Engineering and Control
TUM Department of Civil, Geo and Environmental Engineering
Technical University of Munich
Website

Already today, on-demand mobility services such as Uber and Lyft in the USA, and Didi in China have taken over a noticeable share of the modal split. Furthermore, the market value assessment of these companies is now higher than the one of established vehicle producers, as they are considered to have a very high potential despite current losses with regard to autonomous driving. With the elimination of driver costs, it is expected that ride-hailing and ride-pooling can be offered at a substantially lower cost than today, generating a significant increase in demand. To understand the impact of such automated on-demand systems on future transportation systems, simulations are needed to evaluate both fleet efficiency and their interaction with the overall transportation system.

Read more

Studies to date have focused mainly on efficient vehicle-customer assignments and fleet strategies such as proactive repositioning in static networks. For example, a study comparing a current car-sharing operation with an autonomous ride-hailing system was able to show that although 10% empty trips were generated in the ride-hailing operation, it significantly increased fleet utilization. Additionally, it can be observed that system efficiency increases as fleet and demand scale. These positive scaling effects are even more prominent in ride-pooling systems. Larger demand and fleet increase pooling opportunities, which increases the occupancy rate and reduces additional fleet miles per trip request. In a simulation study for Munich, the evaluation of the trajectories of all fleet vehicles showed that these bundling potentials mainly occur on main arterial roads, while additional mileage is induced on secondary roads. These scaling effects in combination with low-cost operation can lead to a fundamental change in the established traffic system. To prevent undesirable effects on the overall system, regulations such as fleet limits, tolling, or public transport integration can help, but their tools still need to be understood in detail.

So far, the mutual effects of ride-hailing and ride-pooling as well as traffic flow have only been modeled in a simplified way. The effective coupling to microscopic traffic simulations like SUMO can be of great benefit here. Such simulation models are already valuable tools in studies on traffic control algorithms, up to the analysis of the effects of automated vehicles. In the context of ride-hailing and ride-pooling, these simulation models can additionally help to further understand traffic flow effects arising from the introduction of large-scale on-demand services. Corresponding impacts of such operations onto traffic states can then be modelled dynamically. Vice-versa, dynamic travel time estimations can be beneficial for the modelling of ride-hailing and ride-pooling operation. Furthermore, the impact of required empty trips due to repositioning or bundled passenger flows due to pooling in urban transportation networks is still poorly understood. In addition, microscopic simulations are needed to efficiently organize boarding and loading processes, detect bottlenecks, and identify any needed infrastructure at an early stage.


Language

The conference language is English.

Venue

Given the extraordinary situation we are facing, this year’s SUMO User Conference will be again online.

Contact

Please contact the conference team via mail at sumo-conference@dlr.de

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