Transportation agencies around the world are presented with a set of challenges including climate change and natural disaster, ageing transportation infrastructure, and anticipated changes in forms of mobility. Managing and overcoming those challenges lies in the ability to:\u00a0develop tools that facilitate efficient large-scale assessment and the proactive management of existing infrastructure;\u00a0use information about existing infrastructure to propose innovations to roadway design provisions that would ensure that future infrastructure is capable of handling the anticipated changes.\u00a0The use of remote sensing data and GIS tools including mobile LiDAR data, photogrammetry is critical to achieving the aforementioned objectives. These tools have made large volumes of data readily available to transportation agencies and municipalities, nonetheless, efficient processing and semantic segmentation of critical information from those datasets and the ability to relate the extracted information to other components of the transportation system is extremely challenging.\u00a0To promote more resilient transportation infrastructure, this special issue invites papers that propose novel methods and approaches that help utilize remote sensing and GIS data to promote efficient management and improved design of transportation infrastructure. Potential areas of interest for this call for papers include:\u00a0Semantic segmentation tools for the extraction roadside assets and the assessment of roadway design elements and from remote sensing data;\u00a0Decision support tools that use remote sensing data to improve the efficiency of managing and accessing conditions of existing transportation infrastructure;\u00a0Investigations focused on identification and mapping of sections of the transportation infrastructure that are most vulnerable to natural disaster such as flooding and wildfires;\u00a0Models developed to help understand the relationships between critical design elements of roadway infrastructure, road user behaviour, road user demographics, traffic, and roadway safety.
\nKeywords: Infrastructure Resiliency; Remote Sensing; Traffic Safety;\u00a0Semantic Segmentation;\u00a0LiDAR Technology;\u00a0Roadway Design.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"template":"","format":"standard","topic":[544,430,435,15,437,569,644,576,597,598,529,444,625,622,635,600,523,459,467,676,470,545,589,567,534,572,481,681,493,606,497,682,672],"country":[55],"nsj_language":[57],"class_list":["post-1332","call_for_papers","type-call_for_papers","status-publish","format-standard","hentry","topic-aec-design-tools","topic-big-data","topic-circular-economy","topic-civil-engineering","topic-climate-change","topic-construction-managements","topic-data-analysis-processes","topic-data-management","topic-data-sensing-and-analysis","topic-decision-support-systems","topic-design-methodology","topic-digital-modeling","topic-dynamic-models","topic-environmental-impact","topic-future-developments","topic-geographical-information-system-gis","topic-green-infrastructures","topic-green-mobility","topic-industry-4-0","topic-infrastructures","topic-internet-of-things","topic-machine-learning","topic-management-engineering","topic-methodology","topic-mobility","topic-monitoring","topic-process-management","topic-remote-sensing","topic-resilience","topic-safety-and-security","topic-service-innovation","topic-smart-infrastructure","topic-urban-infrastructures","country-switzerland","nsj_language-english"],"acf":[],"yoast_head":"\n