DocumentCode :
3504600
Title :
Strategic decision making for automated driving on two-lane, one way roads using model predictive control
Author :
Nilsson, Johan ; Sjoberg, Jonas
Author_Institution :
Active Safety & Chassis, Volvo Car Corp., Göteborg, Sweden
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
1253
Lastpage :
1258
Abstract :
This paper presents an algorithm for strategic decision making regarding when lane change and overtake manoeuvres are desirable and feasible. By considering the task of driving on two-lane, one-way roads, as the selection of desired lane and velocity profile, the algorithm provides useful results in terms of velocity control as well as a decision variable corresponding to whether a lane change manoeuvre should be performed. The decision process is modelled through a mixed logical dynamical system which is solved through model predictive control using mixed integer program formulation. The performance of the proposed control system is explored through simulations of varying driving scenaria on a two-lane, one-way road, which shows the capability of the system to achieve appropriate longitudinal and lateral control strategies depending on the traffic situation.
Keywords :
adaptive control; automated highways; control engineering computing; decision making; driver information systems; integer programming; predictive control; road traffic control; velocity control; ACC; ADAS; LKA; TJA; adaptive cruise control; advanced driver assistance systems; automated driving; desired lane profile selection; desired velocity profile selection; intelligent vehicles; lane change manoeuvre; lane keeping aid; lateral control strategies; longitudinal control strategies; mixed integer program formulation; mixed logical dynamical system; model predictive control; one way roads; overtake manoeuvres; strategic decision making; traffic jam assists; traffic situation; two-lane roads; velocity control; Algorithm design and analysis; Collision avoidance; Decision making; Prediction algorithms; Roads; Safety; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location :
Gold Coast, QLD
ISSN :
1931-0587
Print_ISBN :
978-1-4673-2754-1
Type :
conf
DOI :
10.1109/IVS.2013.6629638
Filename :
6629638
Link To Document :
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