A Study on the Effect of Intelligent Speed Adaptation to Bus Drivers

Intelligent Speed Adaptation (ISA) is a system which informs, warns and discourages the driver to exceed the statutory local speed limit. The in-vehicle speed limit is set automatically as a function of speed limit indicated on the road. GPS allied to digital speed limit maps allows ISA technology t...

Full description

Bibliographic Details
Main Authors: Ab Patar, MNA (Author), Ismail, MS (Author), Makhtar, AK (Author)
Format: Article
Language:English
Online Access:View Fulltext in Publisher
Description
Summary:Intelligent Speed Adaptation (ISA) is a system which informs, warns and discourages the driver to exceed the statutory local speed limit. The in-vehicle speed limit is set automatically as a function of speed limit indicated on the road. GPS allied to digital speed limit maps allows ISA technology to continuously update the vehicle speed limit to the road speed limit. The main purpose of this study is to investigate the effect of Intelligent Speed Adaptation (ISA) to University Teknologi MARA (UiTM)'s bus drivers. This study is focusing on speed profile and the effect on driver's psychology before and after the intervention of ISA technology. To achieve this objective, one experiment was conducted on GPS-ISA instrument involving about 10 respondents from various backgrounds. The instruments used in order to collect data are GPS-ISA device and a set of questionnaire. The data obtained from GPS-ISA device is speed profile. Speed profile is used to indicate the speeding and speed variation. On the other hand, the data obtained from the questionnaire are frustration level, attention level and ISA acceptance level. These data are used to evaluate driver's psychology on ISA. The expected result is the UiTM's bus drivers are tended to reduce the speed during implementation of ISA, and they felt comfortable with the device. It is important to reduce speed, especially in a campus zone like UiTM to avoid an accident from occur because there is high density of vehicles on the road as well as the pedestrians (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Centre of Humanoid Robots and Bio-Sensor (HuRoBs), Faculty of Mechanical Engineering, Universiti Teknologi MARA.
ISBN:1877-7058
DOI:10.1016/j.proeng.2012.07.331