Regional Traffic Event Detection Using Data Crowdsourcing
نویسندگان
چکیده
Accurate detection and state analysis of traffic flows are essential for effectively reconstructing reducing the risk severe injury fatality. For this reason, several studies have proposed crowdsourcing to resolve problems, in which drivers provide real-time information using mobile devices monitor conditions. Using data collected via event has advantages terms improved accuracy reduced time cost. In paper, we propose a technique that employs collect traffic-related detecting events influence traffic. The uses various machine-learning methods accurately identify location information. Therefore, it can problems typically encountered with conventionally provided information, such as broadly defined locations or inaccurate cost while increasing accuracy. Performance evaluations also demonstrated its validity effectiveness.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13169422