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80 results for “Truck”
Data from: Sleep apnea, sleep debt and daytime sleepiness are independently associated with road accidents: a cross-sectional study on truck drivers
Background: Recent research has found evidence of an association between motor vehicle accidents (MVAs) or near miss accidents (NMAs), and excessive daytime sleepiness (EDS) or its main medical cause, Obstructive Sleep Apnea (OSA). However, EDS can also be due to non-medical factors, such as sleep debt (SD), which is common among professional truck drivers. On the opposite side, rest breaks and naps are known to protect against accidents. Study objectives: To investigate the association of OSA, SD, EDS, rest breaks and naps, with the occurrence of MVAs and NMAs in a large sample of truck drivers. Methods: 949 male truck drivers took part in a cross-sectional medical examination and were asked to complete a questionnaire about sleep and waking habits, risk factors for OSA and EDS. Results: MVAs and NMAs were reported by 34.8% and 9.2% of participants, respectively. MVAs were significantly predicted by OSA (OR= 2.32 CI95%=1.68-3.20), SD (OR=1.45 CI95%=1.29-1.63), EDS (OR=1.73 CI95%=1.15-2.61) and prevented by naps (OR=0.59 CI95%=0.44-0.79) or rest breaks (OR=0.63 CI95%=0.45-0.89). NMAs were significantly predicted by OSA (OR= 2.39 CI95%=1.47- 3.87) and SD (OR=1.49 CI95%=1.27- 1.76) and prevented by naps (OR=0.52 CI95%=0.32- 0.85) or rest breaks (OR=0.49 CI95%=0.29- 0.82). Conclusions: When OSA, SD or EDS are present, the risk of MVAs or NMAs in truck drivers is severely increased. Taking a rest break or a nap appear to be protective against accidents.
Rhino Redemption Art Truck
I shot a quick scan of Kevin Clark's amazing fire breathing rhino truck at Makerfaire. It would have scanned better with the gulll wings doors closed. Still the scan captures a lot of the crazy detail on this build. You can hear about this and all the amazing things we saw at Makerfaire on the [**3d printing today podcast**](http://threedprintingtoday.com/ "3d Printing Today Podcast") Source: Objaverse 1.0 / Sketchfab
Supplementary material for publication "Optimizing combined tours: The truck-and-cargo-bike case"
<p>Supplementary material for publication "Optimizing combined tours: The truck-and-cargo-bike case" in OR Spectrum.</p> <p>Includes datasets I_1, I_2_W and I_2_M for different values of delta and n and results for the MIP formulations and heuristics.</p> <p> </p> <p> </p> <p>https://doi.org/10.1007/s00291-024-00754-2</p>
Mine Haul Truck Rear Dump Profiles
<p>3D CAD files from photogrammetrical surveys of dump and stockpile faces made by mine haul trucks</p>
Dataset from Primary Survey on Truck Drivers
<p><strong>Brief: </strong>This dataset contains primary survey data collected from truck drivers in Bhopal, India, focusing on the urban distribution network of dairy products. The data can be used for studies related to dairy supply chain optimization, cost minimization, route efficiency, and vehicle capacity utilization in urban settings. The data was collected through primary surveys conducted with truck drivers, evaluating existing distribution routes.<strong><br></strong></p> <p><strong>Methodology</strong>: Data was collected through structured interviews with truck drivers at various locations associated in Bhopal. The survey included questions on current distribution routes, vehicle utilization, challenges faced, and potential areas for improvement in the distribution process.</p> <p><strong>Geographical Location</strong>: Bhopal, Madhya Pradesh, India</p> <p><strong>Usage Notes: </strong> Users should acknowledge the source when using the data. The data is particularly relevant for studies focused on urban distribution efficiency, cost optimization, and the dairy industry in India.<br><br><strong>Acknowledgments</strong>: We would like to thank to all the truck drivers who participated in the survey and provided valuable insights.</p>
Truck Booking Costs
<p>Booking rates and cancellations fees for a DHL route from Madrid to Barcelona for a 10day advance period</p>
NYC Truck Network
<p>New York City road network with Truck Route preferences, speeds, and height restrictions </p>
BQE WIM Data Year 5 (Integration and Operation of an Advanced Weigh-in-Motion (A-WIM) System for Autonomous Enforcement of Overweight Trucks)
<p>BQE (Brooklyn-Queens Expressway) WIM Data for QB (Queens Bound) and SIB (Staten Island Bound)</p>
Trucks vs treks: The relative influence of motorized vs non-motorized recreation on a mammal community
<p>Outdoor recreation is increasing rapidly on public lands, with potential consequences for wildlife communities. Recreation can induce shifts in wildlife activity and habitat use, but responses vary widely even within the same species, suggesting mitigating factors that remain poorly understood. Both the type of recreation – motorized or non-motorized – and the distance of wildlife from human disturbance may be important in developing a general understanding of recreation impacts on wildlife and making more informed management decisions. We conducted a camera-trapping survey in the Colville National Forest (CNF) of northeastern Washington in the summers of 2019 and 2020. We collected ~11,000 trap nights of spatially-extensive data on nine mid-large mammalian species, simultaneously recording the presence and activity patterns of motorized (primarily vehicles on roads) and non-motorized (primarily hikers on trails) recreation and wildlife both along trails and roads and off trails and roads (away from most recreation). We used diel overlap analysis, time lag analysis, and single-season single-species occupancy modeling to examine the impact of recreation on the focal species. Species temporally avoided recreationists either by shifting to more nocturnal hours or delaying return to recently-used recreation sites. Most species also responded spatially by altering use or intensity of use of cameras sites due to recreation, though both positive and negative associations with recreation were documented. Species' responded to non-motorized recreation (e.g., hikers on trails) more often than motorized recreation (e.g., vehicles on roads). Most effects of recreation extended off the trail or road, though in three instances the spatio-temporal response of species to recreation along trails/roads disappeared a short distance away from those features. Our work suggests that a better understanding of landscape-scale impacts of recreation, including fitness consequences, will require additional work to disentangle the effects of different types of recreation and estimating the effective distance at which wildlife responds. Moreover, these results suggest that quiet, non-consumptive recreation may warrant increased attention from land managers given its potential to influence spatiotemporal ecology of numerous species.</p>
MarTREC Data Set for Report: Developing and Applying an Analysis Methodology to Identify Flow Generation Influences between Vessel and Truck Shipments
<p>Truck activity is logically connected to vessel activity at a port. In turn, vessel activity is also influenced by truck shipments. Although one might expect a direct and straightforward relation between these two types of shipments, that is rarely the case. For instance, many maritime containers carry consolidated cargos that have multiple and different final destinations. Also, different truck capacities, customs clearance and regulations play a critical role in determining the actual relation between these two types of shipments. This project aims at shedding light on the nuances of maritime and roadway flow relations by quantitatively analyzing the linkages between these two types of shipments.</p> <p>The study performed a statistical analysis to determine the probability distributions of vessel and truck activity, and then explore the correlation of each activity with the other. The analysis yielded coefficients that function as explanatory values for specific truck flows.</p> <p>The ultimate purpose of this study is to provide a clearer and quantitative understanding of the relationship between maritime and truck shipments, and by doing so, to provide tools to develop a system for managing trucks that maximizes efficiency for industry, while minimizing industry’s negative impacts on a region.</p> <p>For this purpose, the study selected the Port Freeport as a case study.</p>
Increase HIV Testing Among Truck Drivers and Female Sex Workers in Kenya Through Offering HIV Self-Testing
ClinicalTrials.gov study NCT03662165. IPD Sharing: YES. Countries: 1. Publications: 3.
Effects of Weight Reduction on Sleep and Alertness in Long-distance Truck and Bus Drivers
ClinicalTrials.gov study NCT00893646. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of Safety and Health Involvement For Truck Drivers
ClinicalTrials.gov study NCT02105571. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Risk Assessment of Long-Haul Truck Drivers
ClinicalTrials.gov study NCT00381992. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Weight Loss Intervention in Long-Haul Truck Drivers: A Pilot Study
ClinicalTrials.gov study NCT02348983. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Trucks vs treks: The relative influence of motorized vs non-motorized recreation on a mammal community
Open the record for dataset details and reuse information.
Data from: Sleep apnea, sleep debt and daytime sleepiness are independently associated with road accidents: a cross-sectional study on truck drivers
Open the record for dataset details and reuse information.
Dataset of Trucks' Anonymized Recorded Driving and Operation
<p>During a period of 12 months, 54 class N3 trucks from four fleets of German fleet operators were equipped with high resolution GPS data loggers. A total of 1.26 million km of driving data has been recorded and constitutes one of the most comprehensive open datasets to date for high-resolution data of heavy commercial vehicles. This dataset provides metadata of recorded tracks as well as high-resolution time series data of the vehicle speed. Its applications include simulation of electrification for heavy commercial vehicles, modeling logistics processes or driving cycle construction.</p>
Truck Image Dataset
<p>Collection of annotated truck images, from a side point view, used to extract information about truck axles, collected on a highway in the State of São Paulo, Brazil. This is still a work in progress dataset and will be updated regularly, as new images are acquired. More info can be found on: <a href="https://www.researchgate.net/lab/Andre-Luiz-Cunha-Lab">Researchgate Lab Page</a>, OrcID Profiles, or <a href="https://github.com/labITS-stt-eesc">ITS Lab page on Github</a>.</p> <p>The dataset includes 1053 cropped images of trucks, with mixed real world trucks and synthetic trucks from Euro Truck Simulator 2.</p> <p>727 images were taken with three different cameras, on five different locations.</p> <ul> <li>727 images</li> <li>Format: JPG</li> <li>Resolution: 1920xVarious, 96dpi, 24bits</li> <li>Naming pattern: <video_name>_<color|gray>-<Region_of_Interest_ID>-<truck_ID>.jpg</li> </ul> <p>326 images were collected from <a href="https://truckersmp.com/" target="_blank" rel="noopener">Trucker's MP website</a>.</p> <ul> <li>326 images</li> <li>Format: JPG</li> <li>Resolution: 1920xVarious, 96dpi, 24bits</li> <li>Naming Pattern: <HEXID>.jpg</li> </ul> <p>All annotated objects were created with <a href="https://github.com/wkentaro/labelme">LabelMe</a>, and saved in JSON files for each image. For more information about the annotation format, please refer to the LabelMe documentation.</p> <p>Annotated objects are all related to truck axles, in 4 categories, Truck, Axle, Tandem, Tridem. Tandem is a double axle composition, and tridem is a triple axle composition. The number of objects in each category is as follows: </p> <ul> <li>Truck: 1053 </li> <li>Axle: 3927</li> <li>Tandem: 1172</li> <li>Tridem: 188</li> </ul> <p>If this dataset helps in any way your research, please feel free to contact the authors. We really enjoy knowing about other researcher's projects and how everybody is making use of the images on this dataset. We are also open for collaborations and to answer any questions. We also have a paper that uses this dataset, so if you want to officially cite us in your research, please do so! We appreciate it!</p> <p>Marcomini, Leandro Arab, and André Luiz Cunha. "Truck Axle Detection with Convolutional Neural Networks." <em>arXiv preprint <a href="https://arxiv.org/abs/2204.01868">arXiv:2204.01868</a></em> (2022).</p> <p> </p>
Git Truck appendix. Survey results
<p>The survey results from the Git Truck research projects</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.