Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
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Article Number | 05004 | |
Number of page(s) | 9 | |
Section | Sustainable Transport and Green Logistics | |
DOI | https://doi.org/10.1051/e3sconf/202338905004 | |
Published online | 31 May 2023 |
Intelligent transportation systems as a factor of strategic transportation planning
Faculty of Management Science, Suan Sunandha Rajabhat University, 1 U Thong Nok rd., Dusit, Bangkok, Thailand, 10300
* Corresponding author: praphatsara.wa@ssru.ac.th
The use of Intelligent Transportation Systems (ITS) in motor vehicles is anticipated to dramatically enhance both traffic safety and mobility. Successful large-scale implementation of these systems depends critically on the enthusiasm of potential users to accept them. However, market segmentation has gotten surprisingly little attention at the current level of ITS technology development, despite the fact that it is required to capture the predicted variance in demands and expectations of drivers in various categories of age, gender, country, etc. Therefore, this study's major objective was to analyze how open drivers of different demographics would be to adopting a wide variety of ITS systems with promising future safety applications.Finding out what people in cars really required in the case of an accident was an important first step. It seems that in order for ITS technology to be broadly embraced, it will be necessary to meet the demands and expectations of a wide range of driver demographics. Surprisingly low adoption rates were seen for alcohol interlocks and electronic license keys despite their effectiveness in reducing road trauma and expenses. There has been some discussion about what these findings mean for the future of ITS.
Key words: intelligent transportation systems / ITS / traffic safety / drivers’ needs and requirements / perceived acceptability
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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