A Procedure for Evaluating the Influence of Road Context on Drivers’ Visual Behaviour

Bongiorno, Nicola; Bosurgi, Gaetano; Pellegrino, Orazio

doi:10.3846/16484142.2016.1188852

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…and dynamic (other vehicles), meaning by this term those that could potentially collide with the trajectories of our vehicle. The results, highlighting the limits of validity of some recent studies, contain some proposed indexes useful to give a better understanding of the visual behavior in order to detect any eventual weakness of the road (Bongiorno, Bosurgi, & Pellegrino, 2016).…”

Section: Introductionmentioning

confidence: 95%

Retracted: Effect of driving domain on driving attitude profiles in winter seasons of India

et al. 2020

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The trademark of motor vehicle use and driving attitude profiles explores new safety upgrades and energy redemption because of the role of driving attitude profiles and driving domains on road mishaps and traffic intensities. Thus, the goal of this research was to identify driving attitude profiles for multiple driving domains (on the basis of speed limits and winter conditions) from real‐world driving information and to investigate how these driving environments have an impact on driving attitude profiles. The study for this research was located in Bhubaneswar, India, where driving information from 64 motorists was collected with Fog Monitor (FM‐120) for at least 12 months. The outcomes indicate that both speed limits and winter states influence driving attitude profiles significantly. Specifically, for winter states, the outcomes provide authentication that motorists drive more quietly (normal speed is 21% lower for zero visibility (visibility < 100 m) than under haze conditions (visibility: 2–5 km), while positive and negative accelerations decrease by 7% and 9%, respectively), when deliberating the effect of speed limit more local streets (limits II, III, and IV streets) are the ones that present more reckless driving profiles in terms of acceleration (30%–40% increase from limit I to limit IV streets). The contribution of this study regards the quantification of the impacts of driving domains on driving attitude profiles, providing evidence that winter conditions significantly affect driving attitude profiles, leading motorists to adjust their driving attitude profiles to the driving domains. However, regarding the speed limit, the differences found in driving attitude profiles seem to be more a consequence of the infrastructure characteristics than an adjustment of driving attitude profiles.

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Section: Introductionmentioning

confidence: 95%

Retracted: Effect of driving domain on driving attitude profiles in winter seasons of India

et al. 2020

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“…This situation is intentionally generated for evidencing the effects of the selected variable, but the environmental context is often widely more complex than that represented by a simulator, characterized by very severe and restrained boundary conditions (Bosurgi et al 2010(Bosurgi et al , 2013. Only some recent studies have provided models helpful for quantitatively evaluating the output variables (Habibovic et al 2013;Bongiorno et al 2016;Bosurgi et al 2015), by performing experimentations on traffic congested roads.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Different Visual Strategies of ‘Isolated Vehicle’ and ‘Disturbed Vehicle’

et al. 2018

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This paper analyses the driver’ visual behaviour in the different conditions of ‘isolated vehicle’ and ‘disturbed vehicle’. If the meaning of the former is clear, the latter condition considers the influence on the driving behaviour of various objects that could be encountered along the road. These can be classified in static (signage, stationary vehicles at the roadside, etc.) and dynamic objects (cars, motorcycles, bicycles). The aim of this paper is to propose a proper analysis regarding the driver’s visual behaviour. In particular, the authors examined the quality of the visually informa-tion acquired from the entire road environment, useful for detecting any critical safety condition. In order to guaran-tee a deep examination of the various possible behaviours, the authors combined the several test outcomes with other variables related to the road geometry and with the dynamic variables involved while driving. The results of this study are very interesting. As expected, they obviously confirmed better performances for the ‘isolated vehicle’ in a rural two-lane road with different traffic flows. Moreover, analysing the various scenarios in the disturbed condition, the proposed indices allow the authors to quantitatively describe the different influence on the visual field and effects on the visual behaviour, favouring critical analysis of the road characteristics. Potential applications of these results may contribute to improve the choice of the best maintenance strategies for a road, to select the optimal signage location, to define forecasting models for the driving behaviour and to develop useful instruments for intelligent transportation systems.

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“…There are conflicting opinions on the effectiveness of road markings; if they are of good quality, they can generally improve the perception of the curve geometry and lead to defining trajectories that are more similar to the lane axis (28)(29)(30). But they can also cause higher speeds (31)(32)(33)(34)(35)(36).…”

mentioning

confidence: 99%

Effects of Road Marking Visibility on Vehicles Driving Along Curves: A Preliminary Study in a Simulated Environment

Bosurgi

Marra

Pellegrino

et al. 2022

Transportation Research Record: Journal of the Transportation R

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The role of road markings is fundamental for traffic safety, as it represents an essential optical driving instrument both for effective drivers and autonomous vehicles. This research aims to evaluate the effects of the decay of road marking visibility along curves, specifically the variability in lateral acceleration. Traditionally, issues related to the correct interpretation of a road alignment were studied by means of trajectory analyses. However, they involved information about the vehicle’s geometrical position without any indication on dynamics. To explore this aspect further, an experiment in a simulated environment involving 21 drivers was performed. They drove along a test road in a standardized scenario considering only three variables: the curve direction (right or left), the deviation angle (70° or 30°), and the road marking visibility percentage (100%, 50%, 10%, and 0%). The results, in differences between theoretical (depending on design speed and curve radius) and effective lateral accelerations, provide further evidence of the strategic role of the markings. However, when markings deteriorate, drivers activate some balancing mechanisms to mitigate the dynamic effects along curves and, in turn, to improve comfort and safety. The proposed procedure is not only of direct practical interest, but it is also fully generalizable to other contexts and issues, involving several other elements that may influence the phenomenon, such as road geometry, visibility conditions, and traffic flow speed.

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A Procedure for Evaluating the Influence of Road Context on Drivers’ Visual Behaviour

Cited by 5 publications

References 19 publications

Retracted: Effect of driving domain on driving attitude profiles in winter seasons of India

Retracted: Effect of driving domain on driving attitude profiles in winter seasons of India

Analysis of Different Visual Strategies of ‘Isolated Vehicle’ and ‘Disturbed Vehicle’

Effects of Road Marking Visibility on Vehicles Driving Along Curves: A Preliminary Study in a Simulated Environment

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