6533b82ffe1ef96bd1295096
RESEARCH PRODUCT
ANALYSIS OF DIFFERENT VISUAL STRATEGIES OF 'ISOLATED VEHICLE' AND 'DISTURBED VEHICLE'
Nicola BongiornoGaetano BosurgiOrazio PellegrinoGiuseppe Sollazzosubject
Engineeringmedia_common.quotation_subject020101 civil engineering02 engineering and technologyvisual behaviour; road safety; isolated vehicle; disturbed vehicle; driving behaviour; traffic0201 civil engineeringTransport engineering0502 economics and businessSettore ICAR/04 - Strade Ferrovie Ed AeroportiVisual behaviourQuality (business)media_commontraffic050210 logistics & transportationTA1001-1280business.industryMechanical Engineering05 social sciencesTransportation engineeringSafety conditionvisual behaviourSignageisolated vehicleAutomotive Engineeringdisturbed vehiclebusinessroad safetydriving behaviourdescription
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.
year | journal | country | edition | language |
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2017-01-04 | Transport |