Next Article in Journal
Study on Rule of Overburden Failure and Rock Burst Hazard under Repeated Mining in Fully Mechanized Top-Coal Caving Face with Hard Roof
Next Article in Special Issue
Evaluation of the Brake’s Performance Dependence Upon Technical Condition of Car Tires as a Factor of Road Safety Management
Previous Article in Journal
Optimal Allocation of Renewable Energy Hybrid Distributed Generations for Small-Signal Stability Enhancement
Previous Article in Special Issue
Life Cycle Costing and Eco-Efficiency Assessment of Fuel Production by Coprocessing Biomass in Crude Oil Refineries
Open AccessArticle

Solar Glare Vulnerability Analysis of Urban Road Networks—A Methodology

1
Instituto Dom Luiz, Universidade de Lisboa, 1749-016 Lisboa, Portugal
2
Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
3
Galp Exploration and Production, Lisboa 1600-209, Portugal
*
Author to whom correspondence should be addressed.
Energies 2019, 12(24), 4779; https://doi.org/10.3390/en12244779
Received: 4 November 2019 / Revised: 8 December 2019 / Accepted: 10 December 2019 / Published: 14 December 2019
(This article belongs to the Special Issue Smart Mobility and Energy Transitions)
Solar glare on roads is responsible for momentaneous deterioration of a driver’s view, interfering with driving capacity and causing accidents. The situation of a driver being affected by solar glare on a road is a spatial-temporal variable, since it depends not only on the time of the day and the day of the year, which are determinant for the local Sun position (temporal factors), but also on the local slope and azimuth of the road in the driven direction (spatial factors). The present work describes a method for producing road glare maps along a road network, as well as retrieving glare information from urban roads so that solar glare vulnerability can be easily accessed. Input data are a 1m resolution Digital Surface Model from Light Detection and Ranging data and the road network. Spatial parameters are processed in a Geographic Information System environment. The Urban Glare Algorithm detects glare and outputs temporal matrices and glare maps. Shadows cast by buildings and trees are considered as well as the driver’s eyes height. The method is tested in an area of Lisbon (Portugal). This work is a contribution to road safety systems implementation and constitutes a relevant basis for warning drivers of glare through car navigation systems. View Full-Text
Keywords: solar glare; road safety systems; GIS; Lidar data; shadow algorithm solar glare; road safety systems; GIS; Lidar data; shadow algorithm
Show Figures

Graphical abstract

MDPI and ACS Style

Redweik, P.; Catita, C.; Henriques, F.; Rodrigues, A. Solar Glare Vulnerability Analysis of Urban Road Networks—A Methodology. Energies 2019, 12, 4779.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop