Driver's steering behaviour identification and modelling in near rear-end collision
This paper studies and identifies driver's steering manoeuvre behaviour in near rear-end collision. Time-To-Collision (TTC) is utilized in defining driver's emergency threat assessment. The target scenario is set up under real experimental environment and the naturalistic data from the exp...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/75670/1/KhairulAkmalZulkepli_Driver%60sSteeringBehaviourIdentificationandModelling.pdf http://eprints.utm.my/id/eprint/75670/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020172580&doi=10.12928%2fTELKOMNIKA.v15i2.6133&partnerID=40&md5=ec069e2ff826f282edbbcde8f9bd3ffa |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.75670 |
---|---|
record_format |
eprints |
spelling |
my.utm.756702018-04-27T01:42:57Z http://eprints.utm.my/id/eprint/75670/ Driver's steering behaviour identification and modelling in near rear-end collision Hassan, N. Zamzuri, H. Wahid, N. Zulkepli, K. A. Azmi, M. Z. T Technology (General) This paper studies and identifies driver's steering manoeuvre behaviour in near rear-end collision. Time-To-Collision (TTC) is utilized in defining driver's emergency threat assessment. The target scenario is set up under real experimental environment and the naturalistic data from the experiment are collected. Four normal drivers are employed for the experiment to perform the manoeuvre. Artificial Neural Network (ANN) is proposed to model the behaviour of the driver`s steering manoeuvre. The results show that all drivers manage to perform steering manoeuvre within the safe TTC region and the modelling results from ANN are reasonably positive. With further studies and improvements, this model would benefit to evaluate the driving reliability to enhance traffic safety and Intelligent Transportation System. Universitas Ahmad Dahlan 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/75670/1/KhairulAkmalZulkepli_Driver%60sSteeringBehaviourIdentificationandModelling.pdf Hassan, N. and Zamzuri, H. and Wahid, N. and Zulkepli, K. A. and Azmi, M. Z. (2017) Driver's steering behaviour identification and modelling in near rear-end collision. Telkomnika (Telecommunication Computing Electronics and Control), 15 (2). pp. 861-868. ISSN 1693-6930 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020172580&doi=10.12928%2fTELKOMNIKA.v15i2.6133&partnerID=40&md5=ec069e2ff826f282edbbcde8f9bd3ffa |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
language |
English |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Hassan, N. Zamzuri, H. Wahid, N. Zulkepli, K. A. Azmi, M. Z. Driver's steering behaviour identification and modelling in near rear-end collision |
description |
This paper studies and identifies driver's steering manoeuvre behaviour in near rear-end collision. Time-To-Collision (TTC) is utilized in defining driver's emergency threat assessment. The target scenario is set up under real experimental environment and the naturalistic data from the experiment are collected. Four normal drivers are employed for the experiment to perform the manoeuvre. Artificial Neural Network (ANN) is proposed to model the behaviour of the driver`s steering manoeuvre. The results show that all drivers manage to perform steering manoeuvre within the safe TTC region and the modelling results from ANN are reasonably positive. With further studies and improvements, this model would benefit to evaluate the driving reliability to enhance traffic safety and Intelligent Transportation System. |
format |
Article |
author |
Hassan, N. Zamzuri, H. Wahid, N. Zulkepli, K. A. Azmi, M. Z. |
author_facet |
Hassan, N. Zamzuri, H. Wahid, N. Zulkepli, K. A. Azmi, M. Z. |
author_sort |
Hassan, N. |
title |
Driver's steering behaviour identification and modelling in near rear-end collision |
title_short |
Driver's steering behaviour identification and modelling in near rear-end collision |
title_full |
Driver's steering behaviour identification and modelling in near rear-end collision |
title_fullStr |
Driver's steering behaviour identification and modelling in near rear-end collision |
title_full_unstemmed |
Driver's steering behaviour identification and modelling in near rear-end collision |
title_sort |
driver's steering behaviour identification and modelling in near rear-end collision |
publisher |
Universitas Ahmad Dahlan |
publishDate |
2017 |
url |
http://eprints.utm.my/id/eprint/75670/1/KhairulAkmalZulkepli_Driver%60sSteeringBehaviourIdentificationandModelling.pdf http://eprints.utm.my/id/eprint/75670/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020172580&doi=10.12928%2fTELKOMNIKA.v15i2.6133&partnerID=40&md5=ec069e2ff826f282edbbcde8f9bd3ffa |
_version_ |
1643657127333462016 |
score |
13.211869 |