Adaptive roadway lighting has received increasing attention as a way to both improve safety and avoid over-lighting. This project developed and tested a real-time adaptive lighting method that is responsive to data from multiple sources and looks promising for both increasing safety and saving energy. <\/p>\n\n\n\n
Roadway lighting is one effective way to enhance safety for drivers, as street lights provide sight beyond the field of view of a vehicle’s headlights. Adaptive lighting schemes adjust and control roadway lighting, at the level of each luminaire, on the basis of real-time data such as traffic volumes and weather conditions. Recently, the state departments of transportation in Washington and Oregon improved portions of their roadway lighting facilities to include new light-emitting diode (LED) luminaires, which are both more energy efficient and brighter than conventional lighting. Although the states are not currently adjusting light levels, the new luminaires are capable of adaptive control through a central system. <\/p>\n\n\n\n
The researchers developed an\nadaptive lighting methodology on the basis of a thorough review of the\nliterature and data collected in Washington state from the LED luminaire sites.\nThey considered multiple types of data, including traffic, weather, and crash\ndata. The resulting method considers real-time, multi-source data and is based on best\npractices and operational requirements that ensure\ntimely responsiveness, appropriate lighting level, and uniformity. The methodology also includes an active\ntraffic management component that supports the provision of advisory messages\nbased on the same input data. <\/p>\n\n\n\n
The researchers also developed\nan adaptive lighting simulation platform and used it to compare the utility and\nenergy consumption of the new methodology with those of other common adaptive\nand conventional lighting schemes. Average\nbrightness and uniformity affect the ability\nof drivers to detect\npotential hazards, and the study\u2019s definition of utility included level of\nbrightness and average vehicle stopping distances. The results\nof the simulations were that the utility of the new lighting method was\ncomparable to that of existing adaptive methods and that energy savings was higher.\n<\/p>\n\n\n\n
WA-RD 889.1<\/p>\n\n\n\n
Authors: Haizhong Wang<\/a> Sponsors: WSDOT Technical Monitor: Ted Bailey<\/a> Adaptive roadway lighting has received increasing attention as a way to both improve safety and avoid over-lighting. This project developed and tested a real-time adaptive lighting method that is responsive to data from multiple sources and looks promising for both increasing safety and saving energy. <\/p>\n","protected":false},"author":1,"featured_media":1411,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[63],"tags":[],"class_list":["post-1408","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-unpublished"],"acf":[],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/posts\/1408","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/comments?post=1408"}],"version-history":[{"count":4,"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/posts\/1408\/revisions"}],"predecessor-version":[{"id":3217,"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/posts\/1408\/revisions\/3217"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/media\/1411"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/media?parent=1408"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/categories?post=1408"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/trac\/wp-json\/wp\/v2\/tags?post=1408"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Yinhai Wang<\/a>
Zhibin Li
Hao Yang
Kristian Henrickson
John Ash
UW Department of Civil and Environmental Engineering<\/p>\n\n\n\n
Chen Chen
Shangjia Dong
OSU School of Civil and Construction Engineering<\/p>\n\n\n\n
PacTrans
WSDOT<\/p>\n\n\n\n
WSDOT Project Manager: Doug Brodin <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"