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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guoshun Lin Yan Chen Yong Qu |
| Copyright Year | 2011 |
| Description | Author affiliation: Transportation Management College Dalian Maritime University Dalian, China (Guoshun Lin; Yan Chen; Yong Qu) |
| Abstract | Most of our highway vehicle management model takes the toll as the main collection of the basis of vehicle data and the highway testing equipment as the highway vehicle dynamic acquisition. This kind mode of fixed location data collection has shortcomings that a larger statistical error and can't be accurately calculated. This paper established a high way traffic information monitoring conceptual model based on the technology of the internet of things with the wireless communication technology of the internet of things. It replaces the traditional highway toll card by smart card (RF card). On this basis, this article aims an accurate statistical model of traffic flow, predicts short-term traffic flow and designed a visual safety warning information system with traffic flow prediction. |
| Starting Page | 671 |
| Ending Page | 673 |
| File Size | 440951 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781612844855 |
| e-ISBN | 9781612844862 |
| DOI | 10.1109/ICCSN.2011.6014178 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Wireless sensor networks Prediction Highway Statistical Internet Communication system security Internet of Things Monitoring |
| Content Type | Text |
| Resource Type | Article |
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