The effect of luminance uniformity on visibility level in road lighting

Güler, Önder; Onaygıl, Sermin

doi:10.1191/1365782803li074oa

Cited by 34 publications

(11 citation statements)

References 5 publications

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“…For example, increased distance between poles reduces visibility of a target. 66 It is therefore expected that pavement obstacles present a range of contrasts, for which the empirical data used here 20 represent only one, and an extension of the relative visual performance model 67 might be a useful tool for exploring the implications.…”

Section: Resultsmentioning

confidence: 99%

Illuminance required to detect a pavement obstacle of critical size

Fotios

Uttley

2016

Lighting Research & Technology

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This paper investigates the illuminance needed to detect trip hazards for pedestrians walking after dark. In previous work, it was assumed that the critical obstacle height is 25 mm: further review of accident data and foot clearance data suggests instead that 10 mm is the critical height. Eye tracking records suggest a tendency for obstacles to be detected approximately 3.4 m ahead. Interpretation of obstacle detection data suggests horizontal photopic illuminances of up to 0.9 lux are required for peripheral detection of a 10 mm obstacle 3.4 m ahead, according to the scotopic/photopic ratio of the lighting and the age of the observer.

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Section: Resultsmentioning

confidence: 99%

Illuminance required to detect a pavement obstacle of critical size

Fotios

Uttley

2016

Lighting Research & Technology

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“…Among these factors, average luminance and uniformity affect motorists' ability to detect potential hazards. The effect of various illuminances and uniformities on hazard detection has been extensively studied [37,38,39,40]. These studies report that motorists perform better at hazard detection when luminance and uniformity are increased.…”

Section: A Motorist's Perspectivementioning

confidence: 97%

A traffic-aware street lighting scheme for Smart Cities using autonomous networked sensors

Lau

Merrett

Weddell

et al. 2015

Computers & Electrical Engineering

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Street lighting is a ubiquitous utility, but sustaining its operation presents a heavy financial and environmental burden.Many schemes have been proposed which selectively dim lights to improve energy efficiency, but little consideration has been given to the usefulness of the resultant street lighting system. This paper proposes a real-time adaptive lighting scheme, which detects the presence of vehicles and pedestrians and dynamically adjusts their brightness to the optimal level. This improves the energy efficiency of street lighting and its usefulness; a streetlight utility model is presented to evaluate this. The proposed scheme is simulated using an environment modelling a road network, its users, and a networked communication system -and considers a real streetlight topology from a residential area. The proposed scheme achieves similar or improved utility to existing schemes, while consuming as little as 1-2% of the energy required by conventional and state-of-the-art techniques.

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“…The results also confirmed that the method can be used to distinguish the variation in the lighting conditions on different sections of the road (Figure 6). Hence, the method is a new tool for monitoring lighting performance and variations of visibility level along the road (see e.g., [35]). In addition, road lighting standards set requirements for maintained average luminance and its uniformity [33].…”

Section: Discussionmentioning

confidence: 99%

Luminance-Corrected 3D Point Clouds for Road and Street Environments

et al. 2015

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Abstract:A novel approach to evaluating night-time road and street environment lighting conditions through 3D point clouds is presented. The combination of luminance imaging and 3D point cloud acquired with a terrestrial laser scanner was used for analyzing 3D luminance on the road surface. A calculation of the luminance (cd/m 2 ) was based on the RGB output values of a Nikon D800E digital still camera. The camera was calibrated with a reference luminance source. The relative orientation between the luminance images and intensity image of the 3D point cloud was solved in order to integrate the data sets into the same coordinate system. As a result, the 3D model of road environment luminance is illustrated and the ability to exploit the method for evaluating the luminance distribution on the road surface is presented. Furthermore, the limitations and future prospects of the methodology are addressed. The method provides promising results for studying road lighting conditions OPEN ACCESSRemote Sens. 2015, 7 11390in future lighting optimizations. The paper presents the methodology and its experimental application on a road section which consists of five luminaires installed on one side of a two-lane road in Otaniemi, Espoo, Finland.

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The effect of luminance uniformity on visibility level in road lighting

Cited by 34 publications

References 5 publications

Illuminance required to detect a pavement obstacle of critical size

Illuminance required to detect a pavement obstacle of critical size

A traffic-aware street lighting scheme for Smart Cities using autonomous networked sensors

Luminance-Corrected 3D Point Clouds for Road and Street Environments

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