Analysis of different visual strategies of 'isolated vehicle' and 'disturbed vehicle'

Transport

Orazio Pellegrino¹  Nicola Bongiorno¹  Gaetano Bosurgi¹  Giuseppe Sollazzo¹ 

[1] Dept of Engineering, University of Messina, Italy

关键词: visual behaviour;    road safety;    isolated vehicle;    disturbed vehicle;    driving behaviour;    traffic;   

DOI  :  10.3846/16484142.2017.1343750

学科分类：航空航天科学

来源: Vilnius Gedinimas Technical University

【 摘 要 】

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 information acquired from the entire road environment, useful for detecting any critical safety condition. In order to guarantee 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.

【 授权许可】

CC BY