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Mikloš, Michal, Jaroslav Skvarenina, Martin Jančo, and Jana Skvareninova. "Density of Seasonal Snow in the Mountainous Environment of Five Slovak Ski Centers." Water 12, no. 12 (December 18, 2020): 3563. http://dx.doi.org/10.3390/w12123563.
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Climate change affects snowpack properties indirectly through the greater need for artificial snow production for ski centers. The seasonal snowpacks at five ski centers in Central Slovakia were examined over the course of three winter seasons to identify and compare the seasonal development and inter-seasonal and spatial variability of depth average snow density of ski piste snow and uncompacted natural snow. The spatial variability in the ski piste snow density was analyzed in relation to the snow depth and snow lances at the Košútka ski center using GIS. A special snow tube for high-density snowpack sampling was developed (named the MM snow tube) and tested against the commonly used VS-43 snow tube. Measurements showed that the MM snow tube was constructed appropriately and had comparable precision. Significant differences in mean snow density were identified for the studied snow types. The similar rates of increase for the densities of the ski piste snow and uncompacted natural snow suggested that the key density differences stem from the artificial (machine-made) versus natural snow versus processes after and not densification due to snow grooming machines and skiers, which was relevant only for ski piste snow. The ski piste snow density increased on slope with decreasing snow depth (18 kg/m³ per each 10 cm), while snow depth decreased 2 cm per each meter from the center of snow lances. Mean three seasons maximal measured density of ski piste snow was 917 ± 58 kg/m³ the density of ice. This study increases the understanding of the snowpack development processes in a manipulated mountainous environment through examinations of temporal and spatial variability in snow densities and an investigation into the development of natural and ski piste snow densities over the winter season.
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Stahl, Joan. "THE SNOW SHOW. Lance Fung." Art Documentation: Journal of the Art Libraries Society of North America 24, no. 2 (October 2005): 61–62. http://dx.doi.org/10.1086/adx.24.2.27949384.
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Munehiro, Kazunori, Naohisa Nakamura, and Masaya Sato. "Variation of traffic flow due to accumulated snow formation on road." MATEC Web of Conferences 265 (2019): 02002. http://dx.doi.org/10.1051/matecconf/201926502002.
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Sapporo City has one of the heaviest snowfalls worldwide, and the road conditions in winter are getting remarkably worse. Snow removal works in winter are indispensable in order to secure traffic functions in the city. Snow accumulates on roads as soon as it is removed. It is also a problem that the deposited snow protrudes into the lanes of roads and the traffic flow drops. This study analyzed the size of deposited snow formation and the variation of traffic flow. We set up a camera for a four-lane road managed by Sapporo City (two lanes per side) and observed two seasons continuously. Width of deposited snow and traffic performance (Traffic Volume - Velocity) were analyzed based on the acquired images. The width of deposited snow was from 1.0 m to 2.5 m. When the width of the deposited snow exceeded approx.1.5 m, it was indicated that only one lane of the road will be in operation if it is originally operated as two lanes per side, with about 70% of the traffic volume and about 80% of the speed. In addition, based on the actual situation of use of bicycles and pedestrians in autumn, we propose redistribution of road cross-sections considering snow coverage width.
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Froggatt, Sir Peter. "John Snow, Thomas Wakley, and The Lancet *." Anaesthesia 57, no. 7 (June 13, 2002): 667–75. http://dx.doi.org/10.1046/j.1365-2044.2002.02656.x.
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Rijavec, Robert, and Darja Šemrov. "Effects of Weather Conditions on Motorway Lane Flow Distributions." PROMET - Traffic&Transportation 30, no. 1 (March 1, 2018): 83–92. http://dx.doi.org/10.7307/ptt.v30i1.2521.
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Several factors affect the lane choices made by motorway drivers. According to the driving rules, the nearside lane is the one that is primarily used. The main reasons for lane changes are overtaking, congestion, or restrictions on other lanes. The empirical research presented in this paper presents comprehensive traffic characteristics observed in different traffic lanes on four-lane motorways in Slovenia. The research was focused on the influence of adverse weather conditions on the lane flow distribution, and on the speed of vehicles in different lanes. The lane flow and speed distributions both directly affect road capacity and safety; therefore, estimating these characteristics could improve the reliability of active traffic control when traffic flow perturbation is detected. Field test results show that lane flow distributions and lane speed distributions at a particular site vary depending on weather conditions, namely, dry, wet (rain), low-visibility, and snow conditions.
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Orlov, Maxim. "Investigation of the process of explosive loading of freshwater ice." Thermal Science 23, Suppl. 2 (2019): 561–67. http://dx.doi.org/10.2298/tsci19s2561o.
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The behaviour of freshwater ice under the action of detonation products has been studied. As objects of the study was chosen snow covered ice of medium thickness. The ice cover of 2018 and 2017 on the Tom River was considered in current research. The age of the ice was approximate 130 days, but the temperature of its formation was different. In the first case (2017), the ice formation temperature was 7.5 % lower than in the second case. The sizes of the lanes in the snow covered ice after detonation of 4 kg of emulsion explosive are obtained. It was established that in the second case the diameter of the lane was 15% smaller than in the first case. The ice edge of the lane in the snow-covered and bare ice was determined. The edge of the needle ice, which had a stepped shape, is presented. A qualitative and quantitative assessment of the destruction of ice under explosive loads is given. It was found that the temperature of ice formation influenced the process of its destruction under explosive loads.
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Mihailovic, Aleksandra, Vucinic Vasic, Jordana Ninkov, Suzana Eric, Nebojsa Ralevic, Tomas Nemes, and Aleksandar Antic. "Multivariate analysis of metals content in urban snow near traffic lanes in Novi Sad, Serbia." Journal of the Serbian Chemical Society 79, no. 2 (2014): 265–76. http://dx.doi.org/10.2298/jsc130311052m.
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During December 2009 snow was collected at twenty two locations across the urban area of Novi Sad, directly from roads and from traffic islands near crossroads. The total metal concentration was determined for each of ten metals (Al, Ca, Cu, Fe, K, Mn, Na, Ni, Pb, Zn) using the ICP-OES analytical technique. The metal found to have the lowest concentration was Ni (0.0265 mg dm-3). The metal with the highest concentration was Na (10786 mg dm-3), which is a consequence of sodium chloride being used as de-icing salt on the roads. The metal with the second highest concentration at all locations was Ca; this was most likely the result of soil dust. The Spearman's rank correlation coefficients between analyzed metals were calculated to determine how concentrations of metals were related. A cluster analysis was carried out on the obtained data sets, using both hierarchical and partitioning methods in order to identify associations among metals and/or locations. It was shown that traffic density was not the most important factor that caused differences between the concentrations of the metals in samples.
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Chen, Shengdi, Shiwen Zhang, Yingying Xing, and Jian Lu. "Identifying the Factors Contributing to the Severity of Truck-Involved Crashes in Shanghai River-Crossing Tunnel." International Journal of Environmental Research and Public Health 17, no. 9 (May 1, 2020): 3155. http://dx.doi.org/10.3390/ijerph17093155.
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The impact that trucks have on crash severity has long been a concern in crash analysis literature. Furthermore, if a truck crash happens in a tunnel, this would result in more serious casualties due to closure and the complexity of the tunnel. However, no studies have been reported to analyze traffic crashes that happened in tunnels and develop crash databases and statistical models to explore the influence of contributing factors on tunnel truck crashes. This paper summarizes a study that aims to examine the impact of risk factors such as driver factor, environmental factor, vehicle factor, and tunnel factor on truck crashes injury propensity based on tunnel crashes data obtained from Shanghai, China. An ordered logit model was developed to analyze injury crashes and property damage only crashes. The driver factor, environmental factor, vehicle factor, and tunnel factor were explored to identify the relationship between these factors and crashes and the severity of crashes. Results show that increased injury severity is associated with driver factors, such as male drivers, older drivers, fatigue driving, drunkenness, safety belt used improperly, and unfamiliarity with vehicles. Late night (00:00–06:59) and afternoon rushing hours (16:30–18:59), weekdays, snow or icy road conditions, combination truck, overload, and single vehicle were also found to significantly increase the probability of injury severity. In addition, tunnel factors including two lanes, high speed limits (≥80 km/h), zone 3, extra-long tunnels (over 3000 m) are also significantly associated with a higher risk of severe injury. So, the gender, age of driver, mid-night to dawn and afternoon peak hours, weekdays, snowy or icy road conditions, the interior zone of a tunnel, the combination truck, overloaded trucks, and extra-long tunnels are associated with higher crash severity. Identification of these contributing factors for tunnel truck crashes can provide valuable information to help with new and improved tunnel safety control measures.
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McGowen, Pat, and Rebecca Gleason. "Grand Teton National Park Evaluation of Non-Motorized Use: Post Pathway 2010 (Dornan's to South Jenny Lake)." UW National Parks Service Research Station Annual Reports 33 (January 1, 2011): 65–66. http://dx.doi.org/10.13001/uwnpsrc.2011.3785.
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As stated in the September 2006 Transportation Plan/Final Environmental Impact Statement (EIS) for Grand Teton National Park (GRTE, 2006), âBicycling has become an increasingly popular activity in [GRTE], despite the lack of designated bike lanes and bike paths. Evidence of the interest in bicycling occurs each spring, prior to opening the Teton Park Road to motor vehicles. After the road is cleared of snow by April 1, it remains closed to motor vehicles until May 1. During this time, it is available for non-motorized uses (e.g., bicycling, walking, wheelchairs, rollerblading). The popularity of these activities, especially with local residents, is evident on most days, and during nice weather when the Taggart Lake parking lot is often filled beyond capacity, with the overflow continuing down the road toward Beaver Creek.â Consequently, the plan recommends the adoption of separated shared-use pathways along several roadway corridors within the park. The purpose of these pathways is to enhance mobility for bicyclists and pedestrians in the park, while enhancing their safety by separating them from motorized traffic.
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Ab Ghani, Hadhrami, Rosli Besar, Zamani Md Sani, Mohd Nazeri Kamaruddin, Syabeela Syahali, Atiqullah Mohamed Daud, and Aerun Martin. "Advances in lane marking detection algorithms for all-weather conditions." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (August 1, 2021): 3365. http://dx.doi.org/10.11591/ijece.v11i4.pp3365-3373.
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Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. Throughout the review process, it is observed that the lane marking detection algorithms in literature have mostly considered weather conditions such as fog, rain, haze and snow. A new contour-angle method has also been proposed for lane marker detection. Most of the research work focus on lane detection, but the classification of the types of lane markers remains a significant research gap that is worth to be addressed for ADAS and intelligent transport systems.
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Lyu, Weidong, Hefu Pu, Jiannan (Nick) Chen, and Zelei Gao. "Numerical Study on Optimal Scheme of the Geothermally Heated Bridge Deck System." Energies 13, no. 24 (December 16, 2020): 6633. http://dx.doi.org/10.3390/en13246633.
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Ground source deicing system application in bridge decks is an alternative to salt use, which reduces corrosion and extends the deck service life. Herein, a preliminary parametric numerical analysis is performed to investigate the effects of several important parameters (tube spacing, inlet temperature, flow rate, and concrete cover) on heat transfer performance. Three evaluation indexes (average top surface temperature, snow melting proportion, and heat absorption power) are introduced, and a synthetic evaluation index is proposed to comprehensively consider factors. Mainly referring to the synthetic evaluation index, the optimal design scheme of a geothermally heated bridge deck system under various conditions (layout, lane number, ambient temperature, and tube spacing) is obtained and analyzed to determine the optimal inlet temperature and guide heated bridge deck design. Finally, the influence of wind speed and two adjustment methods are studied. The results indicate that the horizontal layout is the recommended circulating tube layout. The established empirical equations reveal that the optimal inlet temperature is linearly related to ambient temperature and exhibits a quadratic relationship with tube spacing. There is no need to add a heat insulation layer at the bridge deck bottom, and only tubes arranged near the wheels in lanes are recommended.
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Won Bang, Gul, and Yong Ho Kim. "Panorama laser lane system based IoT." International Journal of Engineering & Technology 7, no. 2.12 (April 3, 2018): 46. http://dx.doi.org/10.14419/ijet.v7i2.12.11033.
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Background/Objectives: Lane marking to recognize road condition helps driver safely drive. Device in this study is developed as a complement because existing lane marking is able to difficult to identify lane according to its environment.Methods/Statistical analysis: Lane marking has been built by spraying tiny particles of glass on a paint for the purpose of retro-reflection against headlamps in automobile at night. But paint with tiny particles of glass is eliminated by automobiles and function of retro-reflection tends to lost over time. That makes lanes invisible well on rainy days at night. Panorama laser lane system based on mobile network with remote control is designed to irradiate laser beam sequentially toward the road on rainy or snowy day at night for safety guidance.Findings: The system provides visible lane markings on rainy days or at night because laser beam lights the lane on the road to help avoid traffic accident.Improvements/Applications: Smart road to provide safety drive will be built by the installation of system at 20 meters in the road particularly dangerous section of road or accident black spot.
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Lv, Caixia, and Xuejing Zhang. "Moving Vehicle Tracking Optimization Method Based on SPF." Complexity 2020 (November 12, 2020): 1–14. http://dx.doi.org/10.1155/2020/8829167.
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In the intelligent transportation system, the license information can be automatically recognized by the computer and the vehicle can be tracked. Red light running, illegal change of lanes, vehicle retrograde, and other illegal driving events are reasonably recorded. This is undoubtedly an effective help for the traffic police to relieve the huge work pressure. However, in China, a considerable number of vehicle tracking methods have certain limitations in resisting complex external environmental influences. The external environmental factors include but not limited to variable factors such as camera movement, jitter, and severe rain and snow. These factors cannot be controlled well, so the tracking accuracy is greatly reduced. In regard to this, this paper proposes an optimization method for moving vehicle tracking based on SPF. First, according to the size of the overlapping area of the motion area between the two images, the researcher can construct and simplify the vertex adjacency matrix that reflects the characteristics of the undirected bipartite graph. Then according to the corresponding relationship between the vertex adjacency matrix and the regional behavior and vehicle behavior, the researcher completes the regional behavior analysis and vehicle behavior analysis. On this basis, a particle filter vehicle tracking algorithm based on segmentation compensation is introduced, and the vector sum of the tracked segmentation area is used as the final position of the target vehicle. In this way, as many scattered particles fall on the target area as possible, which will greatly improve the efficiency of particle utilization, enhance tracking accuracy, and avoid the problem of tracking failure caused by too fast vehicle movement. Through experimental simulation, it can be seen that the method proposed in this paper can greatly enhance the vehicle tracking ability when tracking vehicles in “complex environments.”
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Haq, Muhammad Tahmidul, Milan Zlatkovic, and Khaled Ksaibati. "Freeway Truck Traffic Safety in Wyoming: Crash Characteristics and Prediction Models." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 10 (May 18, 2019): 333–42. http://dx.doi.org/10.1177/0361198119847980.
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The State of Wyoming experiences a high percentage of truck traffic along all its highways, especially Interstate 80 (I-80). The increased interactions between trucks and other vehicles have raised many operational and safety concerns. This paper presents a safety analysis and a development of safety performance functions (SPFs) along I-80, with a focus on truck crashes. Nine years of historical crash data in Wyoming (2008–2016) were used to observe the involvement of light, medium, and heavy trucks in crashes. Analysis of the major contributory factors showed that 54% of the total truck-related crashes occurred during icy road conditions and about 46% during snowy weather conditions, and approximately 45% involved driving too fast and driving in improper lane. The analysis also included segments with horizontal curves and vertical grades and their impacts on truck crashes. The crash rate analysis showed higher truck crash rate compared with total crash rate considering equal vehicle miles traveled as exposure. A zero-inflated negative binomial model was applied to develop Wyoming-specific SPFs for various truck crash types. The effects of traffic, road geometry characteristics, and weather parameters influencing different truck-related crashes were quantified from these models. Downgrades and steep upgrade sections were found to increase truck-related crashes. The number of rainy days per year was found to be a significant variable affecting truck-related crashes. On the other hand, the presence of climbing lanes has significant safety benefits.
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Niittymäki, Jarkko, and Matti Pursula. "Saturation Flows at Signal-Group-Controlled Traffic Signals." Transportation Research Record: Journal of the Transportation Research Board 1572, no. 1 (January 1997): 24–32. http://dx.doi.org/10.3141/1572-04.
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The main goal of this research was to update the basic saturation flow values of signalized intersections. The secondary goal was to analyze the effects of certain external factors (such as weather, road, and traffic conditions) on saturation flow. The updating is based on extensive field measurements and simulations. Altogether, about 39,000 queues were observed in this study. Field measurements at 30 locations were made according to the method described in the Highway Capacity Manual and simulations were done with the Helsinki University of Technology HUT-SIM simulator, which was calibrated and carefully validated for Finnish road conditions. A summary of calibration parameters is also presented. The new base value for straight-through lanes is 1, 940 vehicles per hour; the previous value was 1, 700 vehicles per hour. In general, the updated saturation flow values of different lane types are 5 to 20 percent larger than the previous base values. The saturation flow models of different lane types are described. The effects of geometric and traffic composition factors, such as percentage of turning vehicles, traffic composition, lane width, and approach grade, were examined and modeled. Effects of weather, road surface, light conditions, and speed level were also analyzed. The drop in saturation flow was about 20 to 30 percent under slippery road and snowy conditions. In rainy conditions, the drop was smaller, about 10 percent. The effect of speed on saturation flow is also described. The most important results of this 2-year project are the saturation flow values for different lane types, knowledge of the effect of external factors (especially during winter), and the large database, which can be used for other purposes. The possibility of using special signal control programs under bad road conditions is discussed. With these kinds of programs, better safety and higher capacity can be achieved.
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Kolle, Shankar Reddy, M. S. Vijayashree, and T. H. Shankarappa. "Highly cited articles in malaria research: a bibliometric analysis." Collection Building 36, no. 2 (April 3, 2017): 45–57. http://dx.doi.org/10.1108/cb-10-2016-0028.
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Purpose The purpose of this paper is to reveal the bibliometric characteristics of highly cited articles in Malaria research for the period of 1991-2015. Design/methodology/approach The data of highly cited articles for the period of 1991 to 2015 were extracted from the Science Citation Index Expended of Web of Science. The keyword “Malaria” was used as topic term to search documents that contained this word in the title or keyword or abstract of the documents that published in 1991 to 2015. A total of 1,614 articles having TC2015 = 100 were retrieved as highly cited articles for further analysis, and Microsoft excel was used for the analysis purpose. Findings A total of 1,614 of highly cited articles were published in the 230 journals for the period of 1991 to 2015, and majority of the articles were appeared in journals that have top impact factor. The articles published in the 2011s have greater average citations and authors per article. Six journals have produced almost a quarter of highly cited articles and remaining articles were published in 224 journals. Proceedings of the National Academy of Sciences of the USA was the most productive journal with 154 articles, which accounts for 9.53 per cent of the total articles, followed by Lancet (110; 6.81 per cent). We found degree collaboration value of 0.971 for the articles, which indicates the clear dominance of multiple authors in publication of highly cited articles in Malaria research. In this study, new indictor called P index was applied for the evaluation of the author’s productivity. As per the p-value, the White, NJ has emerged as the most productive author with the p-value of 0.41 (61 articles), followed by Marsh, K (p = 0.33), Nosten, F (p = 0.32) and Snow, RW (p = 0.31). The USA and the UK were the most productive countries. The article entitled as “Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data” contributed by Lopez et al. (2006) was the most cited article with 2,245 citations in 2015. Research limitations/implications The data for the present study was limited to the publications that indexed in Science Citation index Expended of Web of Science. Originality/value This paper would be useful to the researchers to know the trends and achievements in the Malaria research and also to the library and information science professionals in collection building process.
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Kang, Jae Young, George Burkett, Duane Bennett, and Steven A. Velinsky. "Nonlinear Vehicle Dynamics and Trailer Steering Control of the TowPlow, a Steerable Articulated Snowplowing Vehicle System." Journal of Dynamic Systems, Measurement, and Control 137, no. 8 (August 1, 2015). http://dx.doi.org/10.1115/1.4029527.
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The TowPlow is a novel type of snowplow that consists of a conventional snowplow vehicle and a steerable, plow-mounted trailer. The system is used to plow two typical traffic lanes simultaneously. In this paper, a nonlinear dynamic model of the TowPlow is developed for longitudinal, lateral, and yaw motions. The model considers nonlinearity through a modified Dugoff’s tire friction model, tire rotation dynamics, and quasi-static load transfer. The model is verified through steady-state and transient tests on an actual TowPlow system. A new snow resistance model is developed to allow simulation of the TowPlow in snow clearing operations. Then, active steering control of the trailer axle is derived with the goal of improving safety and efficiency of the TowPlow. The comparison of the simulation results between the controlled system and the uncontrolled system for cornering, slalom, up and down hill, and split friction coefficient braking maneuvers clearly demonstrates the efficacy of active steering control for the trailer axle of the TowPlow.
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Liu, Jun, Yan Qi, Na Cui, and Dave Bergner. "Optimized Route to Clear Diverging Diamond Interchange Using Discrete Optimization Method." Canadian Journal of Civil Engineering, December 8, 2020. http://dx.doi.org/10.1139/cjce-2020-0262.
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Interchanges and intersections are the most complex part of a roadway network and are very challenging for snow plowing operators. The objective of the study is to test if the empirical best plowing route to clear a Diverging Diamond Interchange (DDI) recommended by Clear Roads is also mathematically optimized. A discrete optimization method was employed to find the shortest route. In the study, the DDI is represented as a directed graph model. The task of clearing all lanes is treated as the well-known directed Chinese postman problem, which was then solved by an existing network optimization algorithm upon appropriate modification. The results showed that the best practice plowing route recommended by Clear Roads is one of the computed optimal routes with the Efficiency Index of 2/3. The approach proposed in the study can also be applied to other complex intersections and interchanges and help agencies achieve cost-effective snow control operations.
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Kulović, Mirsad, and Slavko Davidović. "The Effect of Countdown Pedestrian Signals on Pedestrian Behavior in Various Weather Conditions - Case Study in Banja Luka." JTTTP - JOURNAL OF TRAFFIC AND TRANSPORT THEORY AND PRACTICE 3, no. 1-2 (September 5, 2018). http://dx.doi.org/10.7251/jtttp1801022k.
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Pedestrians represent the most vulnerable category of participants in traffic. More and more complex traffic conditions in cities across Europe, and therefore BiH, threaten traffic to become a challenge for pedestrians, and pedestrians often experience traffic as a challenge. Studies of behavior of pedestrians at signalized pedestrian crossings conclude that there is a high level of insecurity and a high percentage of unsafe crossings by pedestrians. Timers that add pedestrian signals indicate the length of the red light, the remaining time to the beginning of the green light for the safe crossing of pedestrians across the street. This paper analyzes the effect of the countdown pedestrian signals - CPSs in different weather conditions, ie the comparison of pedestrian behavior (switching to red light) without CPSs and with CPSs in different weather conditions (sun, snow, rain, no precipitation with a temperature of 0 degrees) was performed. The paper analyzes a traffic light pedestrian crossing over the road that consists of four traffic lanes in Banja Luka, BiH.
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Lee, Jaeyun, Sangcheol Kang, Jaedeok Lim, Seong Geon Kim, and Changmo Kim. "Enhancing the Performance of Vehicle Passenger Detection under Adverse Weather Conditions Using Augmented Reality-Based Machine Learning Approach." Transportation Research Record: Journal of the Transportation Research Board, August 6, 2021, 036119812110312. http://dx.doi.org/10.1177/03611981211031229.
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In response to extreme traffic congestion in metropolitan areas that causes unnecessarily long travel times, high fuel consumption, and excessive greenhouse gas emissions, transportation agencies have implemented various strategies to mitigate traffic congestion. Managed lanes—one of the measures applied worldwide—provide benefits to road users and operating agencies by integrating advanced technologies such as electronic and dynamic tolling systems. However, those agencies already implementing or considering implementing the managed lane strategy are seeking a solution to effectively and properly charge toll rates based on vehicle occupancy and penalize violating vehicles. Vehicle passenger detection systems (VPDSs) have been developed and evaluated worldwide, but limitations still inhibit their full implementation. This study confirms that the performance of the deep learning algorithm, a core VPDS technology, declines under certain adverse weather conditions because of lack of training data sets. The performance of the “you only look once” (YOLOv3) model trained with a normal weather data set decreased by as much as 8.5% when it was tested for adverse weather conditions. In this study, augmented reality (AR) models are developed to enhance the accuracy of vehicle passenger detection (VPDA) by the VPDS by training the algorithm with AR images representing virtual adverse weather conditions. Models trained with AR image sets of various weather categories (fog, rain, and snow) attained VPDA enhanced by up to 7.9%. The final model significantly improves VPDA under adverse weather conditions. The proposed models could be considered for implementation with road weather information systems under adverse weather conditions.