Cooperative lane-change and longitudinal behaviour model extension for traffsim

Christian Backfrieder, Gerald Ostermayer, Manuel Lindorfer, Christoph Mecklenbräuker

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

8 Citations (Scopus)


Behaviors of drivers have an important influence on the throughput, safety and traffic flow of vehicular transportation systems. Especially in simulation scenarios, a smooth, realistic and fully reliable lane-change model is a precondition to achieve reasonable results. An extraordinary challenge is provided by situations with multiple congested lanes, including vehicles intending to change to the adjacent lane even if the target lane is occupied by vehicles stuck in a traffic jam. This paper addresses this special use case by introducing Cooperative Lane- Change and Longitudinal Behaviour Model Extension (CLLxt), which can be applied as an extension to models from literature. The result is a simple but well-functioning cooperative model, which covers both participants, the vehicle intending to change the lane and others which need to react to this intention by providing space. The utilization of CLLxt is demonstrated with an example in TraffSim.

Original languageEnglish
Title of host publicationSmart Cities - 1st International Conference, Smart-CT 2016, Proceedings
EditorsEnrique Alba, Francisco Chicano, Gabriel Luque
Number of pages11
ISBN (Print)9783319395944
Publication statusPublished - 2016
Event1st International Conference on Smart Cities, Smart-CT 2016 - Malaga, Spain
Duration: 15 Jun 201617 Jun 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Conference on Smart Cities, Smart-CT 2016


  • Cooperative lane-change
  • Lane-change model
  • Traffic simulation


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