Inferring driver intentions using a driver model based on queuing network

Luzheng Bi*, Xuerui Yang, Cuie Wang

*Corresponding author for this work

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

12 Citations (Scopus)

Abstract

Inferring driver intentions plays an important role in developing human-centric intelligent driver assistance systems. In this paper, we propose a method of inferring the lane-changing intention of drivers by using a driver model based on the queuing network (QN) cognitive architecture. Driver behavior data associated with a range of possible driver intentions are simulated by using the QN-based driver model previously validated. The intentions of drivers are deduced by comparing these sets of simulated behavior data with the collected behavior data of drivers. The experimental results in a driving simulator show that the method can infer typical and rapid lane-changing intention of drivers well.

Original languageEnglish
Title of host publication2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Pages1387-1391
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013 - Gold Coast, QLD, Australia
Duration: 23 Jun 201326 Jun 2013

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Country/TerritoryAustralia
CityGold Coast, QLD
Period23/06/1326/06/13

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