Modeling and Solving of Multiple Conflict Situations in Shared Spaces

Chris Schiermeyer (), Federico Pascucci (), Nils Rinke (), Volker Berkhahn () and Bernhard Friedrich ()
Additional contact information
Chris Schiermeyer: Institute for Risk and Reliability, Leibniz Universität Hannover
Federico Pascucci: Institute for Transportation and Urban Engineering, Technische Universität Braunschweig
Nils Rinke: Institute for Risk and Reliability, Leibniz Universität Hannover
Volker Berkhahn: Institute for Risk and Reliability, Leibniz Universität Hannover
Bernhard Friedrich: Institute for Transportation and Urban Engineering, Technische Universität Braunschweig

A chapter in Traffic and Granular Flow '17, 2019, pp 451-458 from Springer

Abstract: Abstract When streets are designed according to the shared space principle, road users tend to interact spontaneously and to negotiate priority with each other by adapting their trajectory and speed. Despite the success of this design principle in the recent years, traffic engineers still cannot rely on microsimulation tools for shared spaces, which would be extremely useful to compute performance indicators describing safety and quality of traffic. In view of this, in the previous research the authors have developed a three-layered social force-based model, capable to simulate the operation of shared space environments. The aim of the current work is to extend the model by including conflict solving strategies for multiple conflict situations, i.e., conflicts which involve more than two road users. A methodological approach based on aggregated probabilities is proposed to determine road users’ behavioral strategy. The goodness of the model is shown by means of an observed situation involving multiple pedestrians and motorists.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-11440-4_49

Ordering information: This item can be ordered from
http://www.springer.com/9783030114404

DOI: 10.1007/978-3-030-11440-4_49

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().