Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring
Intelligent transportation infrastructure has gained significant research attention recently. In this paper, an innovative sensor network of smart road stud (SRS) is developed to enhance traffic detection infrastructure characterized by its functionality in traffic data collection, long/short range...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/8830276 |
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| _version_ | 1832554944552501248 |
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| author | Zhimin Tao Wei Quan Hua Wang |
| author_facet | Zhimin Tao Wei Quan Hua Wang |
| author_sort | Zhimin Tao |
| collection | DOAJ |
| description | Intelligent transportation infrastructure has gained significant research attention recently. In this paper, an innovative sensor network of smart road stud (SRS) is developed to enhance traffic detection infrastructure characterized by its functionality in traffic data collection, long/short range wireless data transmission, self-sustained power supply, and remote custom controlled lighting-based traffic guidance. Compared to the traditional traffic detectors and road studs, SRS nodes are installed on lane lines instead of lane center to enable the additional applications besides the detection function, such as traffic monitoring, congestion warning, routing guidance, and so on. SRS detects vehicles based on three-axis geomagnetic sensors. A vehicle detection algorithm is proposed correspondingly under different operation scenarios to count vehicles in two adjacent lanes. Its detecting accuracy can be further improved by a sensor network of multiple SRSs working cooperatively. Field test results show that the vehicle detection accuracy based on the SRS network is about 98% per lane, which is the same level as the commercial detector installed in center of lane, even under the non-standard driving behaviors such as crossing lane line. The high performance, value-added service, and low cost enable wide-range applications of SRS networks as part of intelligent traffic detection infrastructure. |
| format | Article |
| id | doaj-art-abcdeb4ce4b64285b74236dad1805984 |
| 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-abcdeb4ce4b64285b74236dad18059842025-02-03T05:50:05ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/8830276Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic MonitoringZhimin Tao0Wei Quan1Hua Wang2School of Transportation Science and EngineeringSchool of Transportation and Science EngineeringSchool of Transportation and Science EngineeringIntelligent transportation infrastructure has gained significant research attention recently. In this paper, an innovative sensor network of smart road stud (SRS) is developed to enhance traffic detection infrastructure characterized by its functionality in traffic data collection, long/short range wireless data transmission, self-sustained power supply, and remote custom controlled lighting-based traffic guidance. Compared to the traditional traffic detectors and road studs, SRS nodes are installed on lane lines instead of lane center to enable the additional applications besides the detection function, such as traffic monitoring, congestion warning, routing guidance, and so on. SRS detects vehicles based on three-axis geomagnetic sensors. A vehicle detection algorithm is proposed correspondingly under different operation scenarios to count vehicles in two adjacent lanes. Its detecting accuracy can be further improved by a sensor network of multiple SRSs working cooperatively. Field test results show that the vehicle detection accuracy based on the SRS network is about 98% per lane, which is the same level as the commercial detector installed in center of lane, even under the non-standard driving behaviors such as crossing lane line. The high performance, value-added service, and low cost enable wide-range applications of SRS networks as part of intelligent traffic detection infrastructure.http://dx.doi.org/10.1155/2022/8830276 |
| spellingShingle | Zhimin Tao Wei Quan Hua Wang Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring Journal of Advanced Transportation |
| title | Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring |
| title_full | Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring |
| title_fullStr | Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring |
| title_full_unstemmed | Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring |
| title_short | Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring |
| title_sort | innovative smart road stud sensor network development for real time traffic monitoring |
| url | http://dx.doi.org/10.1155/2022/8830276 |
| work_keys_str_mv | AT zhimintao innovativesmartroadstudsensornetworkdevelopmentforrealtimetrafficmonitoring AT weiquan innovativesmartroadstudsensornetworkdevelopmentforrealtimetrafficmonitoring AT huawang innovativesmartroadstudsensornetworkdevelopmentforrealtimetrafficmonitoring |