Light distribution in dynamic street lighting: Two experimental studies on its effects on perceived safety, prospect, concealment, and escape

Haans, Antal; Kort, Y.

doi:10.1016/j.jenvp.2012.05.006

Cited by 181 publications

(149 citation statements)

References 19 publications

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“…The proposed scheme improves energy efficiency through adaptive operation enabling progressive control of streetlight brightness. This builds upon the findings of Haans et al [14], where respondents claimed that they felt a better sense of safety when the streetlights were lit in a 'descending' distribution. This 'descending' distribution refers to where a streetlight immediately next to a pedestrian is operated with full brightness, and then gradually dimmed for streetlights that lay further ahead.…”

Section: Adaptive Street Lighting Using Embedded Intelligencesupporting

confidence: 71%

“…Presence detection was adopted by TU Delft [8] to create a dynamic lighting in their intelligent street lighting solution. However, with limited sensing range [13] the proposed systems are unlikely to fulfil the needs of pedestrians' perceived safety [14] and driving safety during darkness [15].…”

Section: Introductionmentioning

confidence: 99%

“…However, operating streetlights at full brightness is often unnecessary [14]. In this paper, we propose an adaptive street lighting scheme which progressively controls streetlight brightness based upon traffic sensing.…”

Section: Introductionmentioning

confidence: 99%

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Energy-efficient street lighting through embedded adaptive intelligence

Lau

Merrett

White

2013

2013 International Conference on Advanced Logistics and Transport

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Abstract-Streetlights place a heavy demand on electricity usage, providing significant financial and environmental burdens. Consequently, initiatives to reduce energy consumption have been proposed, usually by turning off or dimming the streetlight. In this paper, we propose an adaptive lighting scheme based on traffic sensing, which adaptively adjusts streetlight brightness based on current traffic conditions. The algorithm has been validated through simulation using the SUMO and OMNeT++ tools and, for two different geographical locations, the energy consumption evaluated with respect to traffic speed and volume. The simulation results presented indicate that the proposed lighting scheme can consume up to 30% less energy when compared to the state-of-the-art.

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Section: Adaptive Street Lighting Using Embedded Intelligencesupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

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Energy-efficient street lighting through embedded adaptive intelligence

Lau

Merrett

White

2013

2013 International Conference on Advanced Logistics and Transport

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“…For clarity, we acknowledge here that changes in lighting other than photopic illuminance may affect evaluations of reassurance, such as the spectral power distribution [Akashi and others 2004;Knight 2010] and spatial distribution of light [Haans and de Kort 2012]. We also acknowledge that lighting alone does not mediate reassurance but that it is affected also by physical features through evaluation of prospect and escape [Fisher and Nasar 1992], by factors of social psychology such as perceptions of attractivity and power, and expectations of evil intent [van der Wurff and others 1989] and that an effect of lighting may interact with these factors; for example, that a higher illuminance may have little effect in a location with a high level of entrapment (or low possibility for escape) [Blöbaum and Hunecke 2005].…”

Section: Introductionmentioning

confidence: 99%

Specifying Enough Light to Feel Reassured on Pedestrian Footpaths

Fotios

Castleton

2016

LEUKOS

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This article discusses lighting for pedestrians and how investigation of reassurance might lead toward an understanding of the right amount of light. A conventional approach is to evaluate reassurance after dark under road lighting of different illuminance: this tends to show the trivial result that higher illuminances enhance reassurance, and that alone does not enable an optimum light level to be identified. One reason is that the category rating procedure widely used is prone to stimulus range bias; experimental results are presented that demonstrate stimulus range bias in reassurance evaluations. This article also recommends alternative methods for future research. One such method is the day-dark rating approach, which does not tend toward ever higher illuminances, and results are presented of two studies using this method.

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“…Street lighting for pedestrians' perceived safety was studied by Haans and de Kort [36] using three different light distributions: conventional, ascending, and descending. In a conventional light distribution, all streetlights in the test location delivered the same illuminance.…”

Section: A Pedestrian's Perspectivementioning

confidence: 99%

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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Light distribution in dynamic street lighting: Two experimental studies on its effects on perceived safety, prospect, concealment, and escape

Cited by 181 publications

References 19 publications

Energy-efficient street lighting through embedded adaptive intelligence

Energy-efficient street lighting through embedded adaptive intelligence

Specifying Enough Light to Feel Reassured on Pedestrian Footpaths

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

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