A driver model based on emotion

Qiong Xiao*, Changzhen Hu, Gangyi Ding

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, according to the problem that existing driver model can’t reflect some situations in actual driving, a driver model which considers the factors such as driver’s emotion, personality and road condition is built, the emotion model is introduced when the driver is in the process of traffic jams, car following, overtaking, lane changing, emergency situation and so on, the influence of the emotion state, driving destination and so on to the driving decision is analyzed, in addition, the driver’s states are detected by a camera, incentive or warning strategies will be given out according to the situation. At last, a virtual vehicle simulation is experimented based on this model.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - 8th International Conference, ICSI 2017, Proceedings
EditorsBen Niu, Hideyuki Takagi, Yuhui Shi, Ying Tan
PublisherSpringer Verlag
Pages608-614
Number of pages7
ISBN (Print)9783319618326
DOIs
Publication statusPublished - 2017
Event8th International Conference on Swarm Intelligence, ICSI 2017 - Fukuoka, Japan
Duration: 27 Jul 20171 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10386 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Swarm Intelligence, ICSI 2017
Country/TerritoryJapan
CityFukuoka
Period27/07/171/08/17

Keywords

  • Driver model
  • Driving decision
  • Emotion
  • Personality
  • Vehicle simulation

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