Development and Testing of Road Signs Alert System Using a Smart Mobile Phone
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/5829607 |
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| _version_ | 1832553631295995904 |
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| author | Eric M. Masatu Ramadhani Sinde Anael Sam |
| author_facet | Eric M. Masatu Ramadhani Sinde Anael Sam |
| author_sort | Eric M. Masatu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b9079aa05c314184b5f6909b6bbd14cf |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-b9079aa05c314184b5f6909b6bbd14cf2025-02-03T05:53:40ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/5829607Development and Testing of Road Signs Alert System Using a Smart Mobile PhoneEric M. Masatu0Ramadhani Sinde1Anael Sam2School of Computational and Communication Sciences and EngineeringSchool of Computational and Communication Sciences and EngineeringSchool of Computational and Communication Sciences and EngineeringRoad 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.http://dx.doi.org/10.1155/2022/5829607 |
| spellingShingle | Eric M. Masatu Ramadhani Sinde Anael Sam Development and Testing of Road Signs Alert System Using a Smart Mobile Phone Journal of Advanced Transportation |
| title | Development and Testing of Road Signs Alert System Using a Smart Mobile Phone |
| title_full | Development and Testing of Road Signs Alert System Using a Smart Mobile Phone |
| title_fullStr | Development and Testing of Road Signs Alert System Using a Smart Mobile Phone |
| title_full_unstemmed | Development and Testing of Road Signs Alert System Using a Smart Mobile Phone |
| title_short | Development and Testing of Road Signs Alert System Using a Smart Mobile Phone |
| title_sort | development and testing of road signs alert system using a smart mobile phone |
| url | http://dx.doi.org/10.1155/2022/5829607 |
| work_keys_str_mv | AT ericmmasatu developmentandtestingofroadsignsalertsystemusingasmartmobilephone AT ramadhanisinde developmentandtestingofroadsignsalertsystemusingasmartmobilephone AT anaelsam developmentandtestingofroadsignsalertsystemusingasmartmobilephone |