The Relationship between the Traffic Accidents and Meteorological Condition on Beijing-Tianjin-Tanggu Expressway

2012 ◽  
Vol 188 ◽  
pp. 300-307
Author(s):  
De Ping Ding ◽  
Zhi Cong Yin ◽  
Xun Li ◽  
Zhuang Xie
Keyword(s):  
Correlation Coefficient ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Meteorological Data ◽  
Meteorological Condition ◽  
Temporal Distribution ◽  
Weather Conditions ◽  
Adverse Weather ◽  
Two Peaks ◽  
The Relationship

Abstract. Based on the monthly datasets, including the number of traffic accidents, casualties and meteorological data, the relationship between the traffic accidents and meteorological conditions is studied. The results are as follows: (1) There are two peaks of the number of traffic accidents, which are the saddle-shaped peak from Apr to Jun and the second peak in Oct respectively. The number of traffic accidents in February is the least. The temporal distribution of the casualty is different from that of traffic accident. Most casualties happened in Jul. and the second in Apr. and Oct. The susceptibility of traffic accident and casualty in Hebei, Beijing and Tianjin decreased successionally from high to low. (2) A new result is obtained: in comparison with the number of traffic accidents, the correlation between meteorological condition and casualty is higher. The main reason is that the adverse weather conditions always cause drivers fail to control the vehicle or to make right decision. Therefore, the accident causing casualty should be focused on while the monthly weather-related accident is discussed. (3) The correlation coefficient between the number of casualty and precipitation or relative humidity is significantly positive. Otherwise, the correlation coefficient between the number of casualty and visibility or pressure is significantly negative.

scholarly journals Study on the influence of skid resistance on traffic safety of highway with a high ratio of bridges and tunnels

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Yongjie Ding ◽  
Danni Li ◽  
Mingxuan Huang ◽  
Xuejuan Cao ◽  
Boming Tang
Keyword(s):  
Correlation Analysis ◽  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prediction Models ◽  
Back Propagation ◽  
Weather Conditions ◽  
High Ratio ◽  
Skid Resistance ◽  
The Relationship

ABSTRACT The safety of highways with a high ratio of bridges and tunnels is related to multiple factors, for example, the skid resistance of the pavement surface. In this study, the distribution of accidents under different conditions was calculated to investigate the relationship between the road skid resistance and the incidence of traffic accidents based on the traffic accident data of the Yuxiang highway. Statistical results show that weather conditions and road alignment may affect traffic accidents. The correlation analysis method was used to study the relationship between three factors and traffic accidents. The results show that road alignment, weather conditions and road skid resistance are related to the incidence of traffic accidents. The traffic accident prediction models were established based on back propagation neural network to verify the correlation analysis results. It is confirmed that road alignment, weather conditions and road skid resistance are the factors that affect traffic accidents.

scholarly journals Adverse Weather Evokes Nostalgia

2018 ◽  
Vol 44 (7) ◽  
pp. 984-995 ◽  
Author(s):  
Wijnand A. P. van Tilburg ◽  
Constantine Sedikides ◽  
Tim Wildschut
Keyword(s):  
Cognitive Load ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Psychological Benefits ◽  
Adverse Weather

Four studies examined the link between adverse weather and the palliative role of nostalgia. We proposed and tested that (a) adverse weather evokes nostalgia (Hypothesis 1); (b) adverse weather causes distress, which predicts elevated nostalgia (Hypothesis 2); (c) preventing nostalgia exacerbates weather-induced distress (Hypothesis 3); and (d) weather-evoked nostalgia confers psychological benefits (Hypothesis 4). In Study 1, participants listened to recordings of wind, thunder, rain, and neutral sounds. Adverse weather evoked nostalgia. In Study 2, participants kept a 10-day diary recording weather conditions, distress, and nostalgia. We also obtained meteorological data. Adverse weather perceptions were positively correlated with distress, which predicted higher nostalgia. Also, adverse natural weather was associated with corresponding weather perceptions, which predicted elevated nostalgia. (Results were mixed for rain.) In Study 3, preventing nostalgia (via cognitive load) increased weather-evoked distress. In Study 4, weather-evoked nostalgia was positively associated with psychological benefits. The findings pioneer the relevance of nostalgia as source of comfort in adverse weather.

scholarly journals Influence of adverse weather on drivers’ perceived risk during car following based on driving simulations

2019 ◽  
Vol 27 (4) ◽  
pp. 282-292 ◽  
Author(s):  
Chen Chen ◽  
Xiaohua Zhao ◽  
Hao Liu ◽  
Guichao Ren ◽  
Xiaoming Liu
Keyword(s):  
Perceived Risk ◽  
Traffic Accidents ◽  
Driving Simulator ◽  
Weather Conditions ◽  
Entropy Weight ◽  
Car Following ◽  
Adverse Weather Conditions ◽  
Adverse Weather ◽  
Entropy Weight Method ◽  
Four Levels

Abstract Adverse weather has a considerable impact on the behavior of drivers, which puts vehicles and drivers in hazardous situations that can easily cause traffic accidents. This research examines how drivers’ perceived risk changes during car following under different adverse weather conditions by using driving simulation experiment. An expressway road scenario was built in a driving simulator. Eleven types of weather conditions, including clear sky, four levels of fog, four levels of rain and two levels of snow, were designed. Furthermore, to simulate the car-following behavior, three car-following situations were designed according to the motion of the lead car. Seven car-following indicators were extracted based on risk homeostasis theory. Then, the entropy weight method was used to integrate the selected indicators into an index to represent the drivers’ perceived risk. Multiple linear regression was applied to measure the influence of adverse weather conditions on perceived risk, and the coefficients were considered as indicators. The results demonstrate that both the weather conditions and road type have significant effects on car-following behavior. Drivers’ perceived risk tends to increase with the worsening weather conditions. Under conditions of extremely poor visibility, such as heavy dense fog, the measured drivers’ perceived risk is low due to the difficulties in vehicle operation and limited visibility.

scholarly journals Modeling Infection of Strawberry Flowers by Botrytis cinerea Using Field Data

2000 ◽  
Vol 90 (12) ◽  
pp. 1367-1374 ◽  
Author(s):  
Xiangming Xu ◽  
David C. Harris ◽  
Angela M. Berrie
Keyword(s):  
Vapor Pressure ◽  
Botrytis Cinerea ◽  
Vapor Pressure Deficit ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Gray Mold ◽  
Weather Variables ◽  
Infection Models ◽  
The Relationship ◽  
Field Plots

The incidence of strawberry flower infection by Botrytis cinerea was monitored in unsprayed field plots in three successive years together with meteorological data and numbers of conidia in the air. There were large differences in conidia numbers and weather conditions in the 3 years. Three sets of models were derived to relate inoculum and weather conditions to the incidence of flower infection; by inoculum only, by weather variables only, and by both inoculum and weather variables. All the models fitted the observed incidence satisfactorily. High inoculum led to more infection. Models using weather variables only gave more accurate predictions than models using inoculum only. Models using both weather variables and inoculum gave the best predictions, but the improvement over the models based on weather variables only was small. The relationship between incidence of flower infection and inoculum and weather variables was generally consistent between years. Of the weather variables examined, daytime vapor pressure deficit and nighttime temperature had the greatest effect in determining daily incidence of flower infection. Infection was favored by low day vapor pressure deficit and high night temperature. The accuracy and consistency of the weather-based models suggest they could be explored to assist in management of gray mold.

scholarly journals Pyrogenic Transformation of Geosystems of the Western Cibaikalia: Factors, Conditions, Current State

2021 ◽  
Vol 35 ◽  
pp. 3-18
Author(s):  
A. Yu. Bibaeva ◽  
Keyword(s):  
Baikal Region ◽  
Temporal Distribution ◽  
Field Research ◽  
Ground Cover ◽  
Weather Conditions ◽  
Thunderstorm Activity ◽  
Coniferous Forests ◽  
Adverse Weather ◽  
Pyrogenic Transformation ◽  
Mountain Taiga

The factors of pyrogenic impact on the taiga geosystems of the Western Baikal region against the background of the modern transformation of the global atmospheric circula-tion are studied in the paper. The results of world scientific research on modeling climate change and related adverse weather phenomena (prolonged droughts, thunderstorm activity, etc.) are presented. The natural factors contributing to the increase in the pyrogenic transformation of geosystems are described. The study of the spatio-temporal distribution of fires is carried out on the basis of data from remote sensing of the Earth. Information about unfavorable weather conditions and dangerous hydrometeorological phenomena, data on atmospheric phenomena (thunderstorm activity), daily values of air temperature and soil temperature under natural cover at different depths are analyzed in order to factorial analysis of forest fire sources in the study area. The characteristic of the current stage of geosystems is given based on field research conducted in June 2020. It was revealed that catastrophic fires registered in the study area in 1997 and 2015 occurred against the background of minimal thunderstorm activity. At the same time, in the central part of the Western Baikal region thunderstorms were the leading factor in the 2015 fires. Five years after the fire, the restoration of mountain taiga light coniferous forests is characterized by the predominance of the community of Chamaenerion angustifolium (L.) Scop. The successional dynamics of the geosystems of mountain taiga dark coniferous forests is going through the Betula rotundifolia Spach. with Ledum palustre L. and cereal-forb ground cover. Undergrowth of tree species (mainly pine) is rare and uneven about 800–1200 specimens per hectare.

scholarly journals Contribution to Accident Prediction Models Development for Rural Two-Lane Roads in Serbia

2016 ◽  
Vol 28 (4) ◽  
pp. 415-424 ◽  
Author(s):  
Draženko Glavić ◽  
Miloš Mladenović ◽  
Aleksandar Stevanovic ◽  
Vladan Tubić ◽  
Marina Milenković ◽  
...  
Keyword(s):  
Multivariate Regression ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prediction Models ◽  
Future Research ◽  
Practical Application ◽  
Accident Prediction ◽  
Accident Data ◽  
Road Characteristics ◽  
The Relationship

Over the last three decades numerous research efforts have been conducted worldwide to determine the relationship between traffic accidents and traffic and road characteristics. So far, the mentioned studies have not been carried out in Serbia and in the region. This paper represents one of the first attempts to develop accident prediction models in Serbia. The paper provides a comprehensive literature review, describes procedures for collection and analysis of the traffic accident data, as well as the methodology used to develop the accident prediction models. The paper presents models obtained by both univariate and multivariate regression analyses. The obtained results are compared to the results of other studies and comparisons are discussed. Finally, the paper presents conclusions and important points for future research. The results of this research can find theoretical as well as practical application.

scholarly journals MATISSE: an ArcGIS tool for monitoring and nowcasting meteorological hazards

2015 ◽  
Vol 12 (1) ◽  
pp. 163-169 ◽  
Author(s):  
V. Rillo ◽  
A. L. Zollo ◽  
P. Mercogliano
Keyword(s):  
Prediction Models ◽  
Meteorological Data ◽  
Weather Prediction ◽  
Weather Conditions ◽  
Meteorological Conditions ◽  
Economic Losses ◽  
Statistical Characterization ◽  
Adverse Weather ◽  
Aviation Hazards ◽  
Meteorological Hazards

Abstract. Adverse meteorological conditions are one of the major causes of accidents in aviation, resulting in substantial human and economic losses. For this reason it is crucial to monitor and early forecast high impact weather events. In this context, CIRA (Italian Aerospace Research Center) has implemented MATISSE (Meteorological AviaTIon Supporting SystEm), an ArcGIS Desktop Plug-in able to detect and forecast meteorological aviation hazards over European airports, using different sources of meteorological data (synoptic information, satellite data, numerical weather prediction models data). MATISSE presents a graphical interface allowing the user to select and visualize such meteorological conditions over an area or an airport of interest. The system also implements different tools for nowcasting of meteorological hazards and for the statistical characterization of typical adverse weather conditions for the airport selected.

Analysis and Countermeasure of Traffic Accidents in a Dalians Transportation Group

2014 ◽  
Vol 501-504 ◽  
pp. 2436-2440
Author(s):  
Jin Yao Li
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Regional Difference ◽  
Safety Management ◽  
Weather Conditions ◽  
Accident Analysis ◽  
Prevention Measures ◽  
Safety Education ◽  
Climatic Characteristics ◽  
And Training

Nowadays, traffic accidents have become one of the ten major threats to human health, and reducing the damage to life and property has been the people's demands. Traffic accident analysis has its inherently regional difference. The main objectives of this paper is to conduct investigation and statistical analysis on the weather conditions, month, week, hour, road environment, the drivers age and driving-age of the accidents, based on the traffic accidents records of a Dalians transportation group from 2008 to 2012. According to the acquired statistics and countering the geographical and climatic characteristics of Dalian area, this paper put forward traffic accident prevention measures proposed for Dalian area:Timely safety education and training for the drivers, establishing enterprise safety culture and establishing and improving the safety management system of modern traffic.

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