Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Foreign objects on railroads contribute to railway accidents. Train driving heavily relies on visual prowess. Drivers must quickly identify and react to these hazards, capabilities that directly impact the safety and efficiency of train operations. As train speeds increase, it becomes increasingly challenging to spot track anomalies. This underscores the importance of studying drivers' visual attention, especially under different speed conditions. This study delved into the nuances of train drivers' hazard detection by analyzing eye movement and response performance to simulated foreign object encroachments at different speeds. Our objective was to identify eye movement indicators predictive of train drivers' hazard response efficacy and to understand how these vary across different speed scenarios. The analysis highlighted distinct predictors for effective hazard response at different speeds. At standard speeds, maintaining consistent attention is crucial. The time spent searching positively correlates with hazard detection efficiency in these conditions. At higher speeds, rapid information processing becomes key, and a shorter average gaze duration indicates better hazard response. The study also revealed that train drivers tend to exhibit a left-leaning attention bias when recognizing ground-level foreign object encroachments. These insights support the development of improved training programs for train drivers, optimization of track and signal marker placement, and design of effective foreign object detection systems.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12228803 | PMC |
http://dx.doi.org/10.1038/s41598-025-09008-9 | DOI Listing |