Academic Journal
Development and Testing of Road Signs Alert System Using a Smart Mobile Phone.
| Title: | Development and Testing of Road Signs Alert System Using a Smart Mobile Phone. |
|---|---|
| Authors: | Masatu, Eric M., Sinde, Ramadhani, Sam, Anael |
| Source: | Journal of Advanced Transportation; 4/21/2022, p1-14, 14p |
| Subject Terms: | Traffic signs & signals, Cell phones, Driver assistance systems, Application program interfaces, Intelligent transportation systems, Smartphones |
| Geographic Terms: | Tanzania, Arusha (Tanzania) |
| Abstract: | Road traffic accident is a major problem worldwide resulting in significant morbidity and mortality. Advanced driver assistance systems are one of the salient features of intelligent systems in transportation. They improve vehicle safety by providing real-time traffic information to the driver. Road signs play an important role in road safety. To be effective, road signs must be visible at a distance that enables drivers to take the necessary actions. However, static road signs are often seen too late for a driver to respond accordingly. In this study, a system for alerting drivers about road signs has been developed and tested using a smart mobile phone. The study was carried out in Tanzania along an 80 km highway stretch from Arusha to Moshi town. The Haversine formula was used to measure and estimate the distance between two pairs of coordinates using the smartphone-based navigation application, Google Map. The application provides a voice alert to a needed action that enhances driver's attention. We propose an alternative method that identifies and modifies a specific class of energy inefficiencies. According to the experimental results, the proposed methodology has the benefits of high accuracy within a user radius of 10 meters, minimum bandwidth, and low-cost application. Furthermore, the system application was secured by limiting access to the application program interface key to avoid unauthorized access to sensitive information. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 156418845 RelevancyScore: 916 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 915.920227050781 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development and Testing of Road Signs Alert System Using a Smart Mobile Phone. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Masatu%2C+Eric+M%2E%22">Masatu, Eric M.</searchLink><br /><searchLink fieldCode="AR" term="%22Sinde%2C+Ramadhani%22">Sinde, Ramadhani</searchLink><br /><searchLink fieldCode="AR" term="%22Sam%2C+Anael%22">Sam, Anael</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of Advanced Transportation; 4/21/2022, p1-14, 14p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Traffic+signs+%26+signals%22">Traffic signs & signals</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+phones%22">Cell phones</searchLink><br /><searchLink fieldCode="DE" term="%22Driver+assistance+systems%22">Driver assistance systems</searchLink><br /><searchLink fieldCode="DE" term="%22Application+program+interfaces%22">Application program interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+transportation+systems%22">Intelligent transportation systems</searchLink><br /><searchLink fieldCode="DE" term="%22Smartphones%22">Smartphones</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Tanzania%22">Tanzania</searchLink><br /><searchLink fieldCode="DE" term="%22Arusha+%28Tanzania%29%22">Arusha (Tanzania)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Road traffic accident is a major problem worldwide resulting in significant morbidity and mortality. Advanced driver assistance systems are one of the salient features of intelligent systems in transportation. They improve vehicle safety by providing real-time traffic information to the driver. Road signs play an important role in road safety. To be effective, road signs must be visible at a distance that enables drivers to take the necessary actions. However, static road signs are often seen too late for a driver to respond accordingly. In this study, a system for alerting drivers about road signs has been developed and tested using a smart mobile phone. The study was carried out in Tanzania along an 80 km highway stretch from Arusha to Moshi town. The Haversine formula was used to measure and estimate the distance between two pairs of coordinates using the smartphone-based navigation application, Google Map. The application provides a voice alert to a needed action that enhances driver's attention. We propose an alternative method that identifies and modifies a specific class of energy inefficiencies. According to the experimental results, the proposed methodology has the benefits of high accuracy within a user radius of 10 meters, minimum bandwidth, and low-cost application. Furthermore, the system application was secured by limiting access to the application program interface key to avoid unauthorized access to sensitive information. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2022/5829607 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: Tanzania Type: general – SubjectFull: Arusha (Tanzania) Type: general – SubjectFull: Traffic signs & signals Type: general – SubjectFull: Cell phones Type: general – SubjectFull: Driver assistance systems Type: general – SubjectFull: Application program interfaces Type: general – SubjectFull: Intelligent transportation systems Type: general – SubjectFull: Smartphones Type: general Titles: – TitleFull: Development and Testing of Road Signs Alert System Using a Smart Mobile Phone. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Masatu, Eric M. – PersonEntity: Name: NameFull: Sinde, Ramadhani – PersonEntity: Name: NameFull: Sam, Anael IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 04 Text: 4/21/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 01976729 Titles: – TitleFull: Journal of Advanced Transportation Type: main |
| ResultId | 1 |