Towards a Decision Making Algorithm for Automatic Lane Change Maneuver Considering Traffic Dynamics

Sajjad Samiee*, Shahram Azadi, Reza Kazemi, Arno Eichberger

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper proposes a novel algorithm for decision-making on autonomous lane change manoeuvre in vehicles. The proposed approach defines a number of constraints, based on the vehicle’s dynamics and environmental conditions, which must be satisfied for a safe and comfortable lane change manoeuvre. Inclusion of the lateral position of other vehicles on the road and the tyre-road friction are the main advantages of the proposed algorithm. To develop the lane change manoeuvre decision-making algorithm, first, the equations for the lateral movement of the vehicle in terms of manoeuvre time are produced. Then, the critical manoeuvring time is calculated on the basis of the constraints. Finally, the decision is made on the feasibility of carrying out the manoeuvre by comparing the critical times. Numerous simulations, taking into account the tyre-road friction and vehicles’ inertia and velocity, are conducted to compute the
critical times and a model named TUG-LCA is presented based on the corresponding results.
Original languageEnglish
Pages (from-to)91-103
JournalPromet - Traffic & Transportation
Issue number2
Publication statusPublished - 2016

Fields of Expertise

  • Mobility & Production

Treatment code (Nähere Zuordnung)

  • Application
  • Theoretical

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