Analysis of Vehicle Maneuverability and Driving Characteristics on a Curved Road Condition

Kang, Xuejian; Namgung, Moon; Fujiwara, Akimasa; Kim, Wonchul; Wang, Weijie

doi:10.1007/s12205-018-1803-y

Cited by 29 publications

(10 citation statements)

References 40 publications

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“…We also predicted more roadkill in straighter roads particularly for species that do not show behavioural avoidance towards tra c (e.g., herpetofauna, Jacobson et al, 2016). Vehicles generally circulate faster in straight (less sinuous) roads (Kang et al, 2019) which may increase roadkill likelihood (Tejera et al 2018). On the other hand, sinuosity affects visibility which decreases the ability of drivers to prevent collision on the roads and therefore we may nd more roadkills in sinuous road sections.…”

Section: Introductionmentioning

confidence: 74%

The road of >1000 corpses: landscape and road-related features that promote mortality in the Amazon

Medrano-Vizcaíno

Grilo

Brito‐Zapata³

et al. 2022

Preprint

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Roads impact wildlife around the world; however, dedicated studies are lacking in many biodiverse areas such as the Amazon. Identifying which species are more often hit by vehicles and which landscape and road-related features promote roadkill is essential to guide future development and ensure adequate mitigation actions. For six months, we monitored 240 km of roads in the Ecuadorian Amazon and recorded 1125 dead vertebrates (148 species). Reptiles were the most affected class with 380 individuals (56 species), followed by amphibians with 278 individuals (11 species), birds with 259 individuals (62 species), and mammals with 208 individuals (20 species). We used Random Forest models to explore the role of various land cover types and road sinuosity on the observed mortality. Additionally, we created heatmaps to visualize the road segments where roadkills were more frequent. For all vertebrates, mortality was more likely in straight road sections near rivers. The effect of other variables was taxa-specific. Amphibian mortality was more likely near bare soil or forest, birds and mammals died more often near herbaceous-shrubby vegetation, whereas reptile mortality occurred more often further from herbaceous-shrubby vegetation. Road segments with a high mortality (roadkill hotspots) varied across taxa. These hotspots identify areas where further research is needed to assess road impacts and where mitigation could prevent collisions. Among records, we found rare and threatened species, including some that may be new to science. Roadkill surveys not only aid in quantifying threats and informing future planning but can also provide insight into local biodiversity.

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Section: Introductionmentioning

confidence: 74%

The road of >1000 corpses: landscape and road-related features that promote mortality in the Amazon

Medrano-Vizcaíno

Grilo

Brito‐Zapata³

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…From the perspective of visual comfort, the addition of contour marks provides a method to improve the light environment of highway tunnel with low illumination mainly focusing on line of sight induction ( 39 ). The tunnel sidewall with high luminance can optimize the driving environment and improve the visual parameters of drivers ( 40 ). From the perspective of non-visual effects, it is generally believed that short wavelengths and light can affect the circadian system of humans ( 24 ), especially in inhibiting melatonin, thus reducing fatigue and activating body functions ( 41 ).…”

Section: Discussionmentioning

confidence: 99%

Impact of Light Environment on Driver's Physiology and Psychology in Interior Zone of Long Tunnel

Weng

Yang

et al. 2022

Front. Public Health

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In tunnels, lighting not only affects visual performance, but also non-visual aspects such as drivers' physiological fatigue and mental stress. The non-visual impacts in the interior zone of long tunnels are particularly prominent as drivers are confined for a long time. To alleviate this problem, this study aims to investigate the relationship between drivers' physiological and psychological states and lighting environments. The physiological signal test system (MP150) breathing belt was used to record the changes of heart rate variability (HRV) of drivers when passing through the interior zone of a long tunnel under various lighting conditions. In particular, sympathetic indicators of physiological fatigues and the ratio of low frequency and high frequency (LF/HF) representing mental load were obtained. By analyzing the temporal variation in these two indicators, it is found that environmental luminance perception can more accurately reflect drivers' physiological and psychological states in the long tunnel than road luminance. An increase in road luminance or background luminance will result in a decrease in the mental stress, thereby reducing fatigue sense. Compared to simply increasing road luminance, mental stress of drivers decreased more obviously when the background luminance of long tunnel increased. Based on this, this paper proposed a method to regulate non-visual effect by adding contour markers without increasing light source intensity for the improvement in lighting performance, driving safety, and energy efficiency in long tunnels.

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“…Wang et al integrated driving condition recognition realized by learning vector quantization neural network into the PMP based energy management to optimize the fuel economy of PHEVs, and significant optimization effect was achieved [26]. Generally, the process of driving condition recognition can be divided into two steps: the determination of condition category [27] and category classification [28]. The methods to determine condition categories include principal component analysis (PCA) [29,30] and cluster analysis [30,31].…”

Section: Introductionmentioning

confidence: 99%

Machine learning and whale optimization algorithm based design of energy management strategy for plug‐in hybrid electric vehicle

Hou

Guo

Xing

et al. 2021

IET Intelligent Trans Sys

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In this paper, a novel energy management strategy with the improved adaptability to various conditions for plug‐in hybrid electric vehicle (PHEV) is proposed. The control parameters, derived from the benchmark test, are optimized offline for different driving conditions. The optimized parameters are implemented according to different driving behaviours identified online. The offline and online cooperation improves performance of energy management strategy in different driving conditions. Three main efforts have been made: Firstly, the valuable features that describe different driving conditions are extracted by random forest (RF) and the features are used for determining driving condition categories, utilized for online driving condition identification by support vector machine (SVM). Secondly, the control thresholds in the developed control strategy are optimized by whale optimization algorithm (WOA) under different driving conditions. The optimal control thresholds for different driving conditions will be called online after certain traffic condition is categorized. At last, simulation‐based evaluation is performed, validating the enhanced performance of the proposed methods in energy‐saving in different driving conditions.

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Analysis of Vehicle Maneuverability and Driving Characteristics on a Curved Road Condition

Cited by 29 publications

References 40 publications

The road of >1000 corpses: landscape and road-related features that promote mortality in the Amazon

The road of >1000 corpses: landscape and road-related features that promote mortality in the Amazon

Impact of Light Environment on Driver's Physiology and Psychology in Interior Zone of Long Tunnel

Machine learning and whale optimization algorithm based design of energy management strategy for plug‐in hybrid electric vehicle

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Analysis of Vehicle Maneuverability and Driving Characteristics on a Curved Road Condition

Cited by 29 publications

References 40 publications

The road of &gt;1000 corpses: landscape and road-related features that promote mortality in the Amazon

The road of &gt;1000 corpses: landscape and road-related features that promote mortality in the Amazon

Impact of Light Environment on Driver's Physiology and Psychology in Interior Zone of Long Tunnel

Machine learning and whale optimization algorithm based design of energy management strategy for plug‐in hybrid electric vehicle

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The road of >1000 corpses: landscape and road-related features that promote mortality in the Amazon

The road of >1000 corpses: landscape and road-related features that promote mortality in the Amazon