Let's Connect
Follow Us
Watch Us
(+385) 1 2380 262
journal.prometfpz.unizg.hr
Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
25.04.2016
LICENSE
Copyright (c) 2024 Sajjad Samiee, Shahram Azadi, Reza Kazemi, Arno Eichberger

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

Authors:

Sajjad Samiee
K. N. Toosi University of Technology & Graz University of Technology

Shahram Azadi
K. N. Toosi University of Technology

Reza Kazemi
K. N. Toosi University of Technology

Arno Eichberger
Graz University of Technology

Keywords:autonomous driving, lane change manoeuvre, decision making, Drive Assistance System,

Abstract

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.

References

  1. Mathew TV. Lane Changing Models. In: Transportation Systems Engineering. 2014; p. 15.1-15.12.

    Djenouri D, Soualhi W, Nekka E. VANET’s Mobility Models and Overtaking: An Overview. 3rd International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA). 2008; p. 1-6.

    Wang J, Chai R, Wu G. Changing Lane Probability Estimating

    Model Based on Neural Network. 26th Chinese Control and Decision Conference (CCDC). 2014; p. 3915-3920.

    Gipps PG. A Model for the Structure of Lane-changing Decisions. Transportation Research Part B: Methodological.

    ;20(5):403-414. doi: 10.1016/0191-2615(86)90012-3

    Hetrick S. Examination of Driver Lane Change Behavior and the Potential Effectiveness of Warning Onset Rules for Lane Change or “Side” Crash Avoidance Systems [Master Thesis]. Virginia Polytechnic Institute & State University; 1997.

    Penghui L, Mengxia H, Wenhui Z, Xiaoqing X, Yibing L.

    Steering Behavior during Overtaking on Freeways.

Show more
How to Cite
Samiee, S. (et al.) 2016. Towards a Decision-Making Algorithm for Automatic Lane Change Manoeuvre Considering Traffic Dynamics. Traffic&Transportation Journal. 28, 2 (Apr. 2016), 91-103. DOI: https://doi.org/10.7307/ptt.v28i2.1811.

SPECIAL ISSUE IS OUT

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD


Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal