Analysis of Driver Behaviour and Crash Characteristics during Adverse Weather Conditions

Chakrabarty, Neelima; Gupta, Kamini

doi:10.1016/j.sbspro.2013.11.200

Cited by 40 publications

(22 citation statements)

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“…However, isolating and managing risks related to environmental factors, particularly weather, has been challenging. It can be difficult to determine exposure to weather with precision [7], compounded by the potential correlation between weather and other factors, like road utilization, driver behavior, road conditions, and post-event factors such as delayed response time for emergency medical services [8, 9]. …”

Section: Introductionmentioning

confidence: 99%

Adverse weather conditions and fatal motor vehicle crashes in the United States, 1994-2012

et al. 2016

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BackgroundMotor vehicle crashes are a leading cause of injury mortality. Adverse weather and road conditions have the potential to affect the likelihood of motor vehicle fatalities through several pathways. However, there remains a dearth of assessments associating adverse weather conditions to fatal crashes in the United States. We assessed trends in motor vehicle fatalities associated with adverse weather and present spatial variation in fatality rates by state.MethodsWe analyzed the Fatality Analysis Reporting System (FARS) datasets from 1994 to 2012 produced by the National Highway Traffic Safety Administration (NHTSA) that contains reported weather information for each fatal crash. For each year, we estimated the fatal crashes that were associated with adverse weather conditions. We stratified these fatalities by months to examine seasonal patterns. We calculated state-specific rates using annual vehicle miles traveled data for all fatalities and for those related to adverse weather to examine spatial variations in fatality rates. To investigate the role of adverse weather as an independent risk factor for fatal crashes, we calculated odds ratios for known risk factors (e.g., alcohol and drug use, no restraint use, poor driving records, poor light conditions, highway driving) to be reported along with adverse weather.ResultsTotal and adverse weather-related fatalities decreased over 1994–2012. Adverse weather-related fatalities constituted about 16 % of total fatalities on average over the study period. On average, 65 % of adverse weather-related fatalities happened between November and April, with rain/wet conditions more frequently reported than snow/icy conditions. The spatial distribution of fatalities associated with adverse weather by state was different than the distribution of total fatalities. Involvement of alcohol or drugs, no restraint use, and speeding were less likely to co-occur with fatalities during adverse weather conditions.ConclusionsWhile adverse weather is reported for a large number of motor vehicle fatalities for the US, the type of adverse weather and the rate of associated fatality vary geographically. These fatalities may be addressed and potentially prevented by modifying speed limits during inclement weather, improving road surfacing, ice and snow removal, and providing transit alternatives, but the impact of potential interventions requires further research.Electronic supplementary materialThe online version of this article (doi:10.1186/s12940-016-0189-x) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

Adverse weather conditions and fatal motor vehicle crashes in the United States, 1994-2012

et al. 2016

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“…This suggests that drivers modify their behavior in such conditions. A few studies have shown that weather conditions affect driver behavior significantly [22][23][24][25][26][27][28]. Kilpeläinen and Summala [27] concluded that driver behavior is predominantly affected by the prevailing observable conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Kilpeläinen and Summala [27] concluded that driver behavior is predominantly affected by the prevailing observable conditions. Chakrabartya and Guptab [28] studied driver behavior and crash characteristics during adverse weather conditions including rainy weather and foggy weather. The results showed that the percentage of speeding drivers reduced in both rainy weather and foggy weather.…”

Section: Literature Reviewmentioning

confidence: 99%

Using microscopic video data measures for driver behavior analysis during adverse winter weather: opportunities and challenges

Zangenehpour

St-Aubin

et al. 2015

J. Mod. Transport.

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This paper presents a driver behavior analysis using microscopic video data measures including vehicle speed, lane-changing ratio, and time to collision. An analytical framework was developed to evaluate the effect of adverse winter weather conditions on highway driving behavior based on automated (computer) and manual methods. The research was conducted through two case studies. The first case study was conducted to evaluate the feasibility of applying an automated approach to extracting driver behavior data based on 15 video recordings obtained in the winter 2013 at three different locations on the Don Valley Parkway in Toronto, Canada. A comparison was made between the automated approach and manual approach, and issues in collecting data using the automated approach under winter conditions were identified. The second case study was based on high quality data collected in the winter 2014, at a location on Highway 25 in Montreal, Canada. The results demonstrate the effectiveness of the automated analytical framework in analyzing driver behavior, as well as evaluating the impact of adverse winter weather conditions on driver behavior. This approach could be applied to evaluate winter maintenance strategies and crash risk on highways during adverse winter weather conditions.

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“…Thus, it is crucial to incorporate the psychological factors of a driver (i.e., personality traits) [18], attitudes and intentions [19] and risk-taking [20] for fuel saving and emission reduction studies. Moreover, driver cognitive factors, such as management of attention [21], visual functions [22] and psychomotor behavior [22], have to be explored for emission reduction and fuel saving studies. Hence, the integration of psychological and technical experiments first remains as the main gap in driver travel behavior studies.…”

Section: Introductionmentioning

confidence: 99%

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

et al. 2018

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Road transportation is the main energy consumer and major contributor of ever-increasing hazardous emissions. Transportation professionals have raised the idea of applying the green concept in various areas of transportation, including green highways, green vehicles and transit-oriented designs, to tackle the negative impact of road transportation. This research generated a new dimension called the green driver to remediate urgently the existing driving assessment models that have intensified emissions and energy consumption. In this regard, this study aimed to establish the green driver's behaviors related to fuel saving and emission reduction. The study has two phases. Phase one involves investigating the driving behaviors influencing fuel saving and emission reduction through a systematic literature review and content analysis, which identified twenty-one variables classified into four clusters. These clusters included the following: (i) FE f1 , which is driving style; (ii) FE f2 , which is driving behavior associated with vehicle transmission; (iii) FE f3 , which is driving behavior associated with road design and traffic rules; and (iv) FE f4 , which is driving behavior associated with vehicle operational characteristics. The second phase involves validating phase one findings by applying the Grounded Group Decision Making (GGDM) method. The results of GGDM have established seventeen green driving behaviors. The study conducted the Green Value (GV) analysis for each green behavior on fuel saving and emission reduction. The study found that aggressive driving (GV = 0.16) interferes with the association between fuel consumption, emission and driver's personalities. The research concludes that driver's personalities (including physical, psychological and psychosocial characteristics) have to be integrated for advanced in-vehicle driver assistance system and particularly, for green driving accreditation.

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Analysis of Driver Behaviour and Crash Characteristics during Adverse Weather Conditions

Cited by 40 publications

References 1 publication

Adverse weather conditions and fatal motor vehicle crashes in the United States, 1994-2012

Adverse weather conditions and fatal motor vehicle crashes in the United States, 1994-2012

Using microscopic video data measures for driver behavior analysis during adverse winter weather: opportunities and challenges

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

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