When it comes to the word “Smart City”, the first thing that comes to mind is the Internet of Things (IoT), where data collection happens through myriad sensors by means of mmWave and 5G to give us insights into how we manage our assets. Where we have made our level-5 autonomous vehicles’ (AVs) infrastructure ready for the optimum use of connected and autonomous vehicles (CAVs), such vehicles can alter cities and the way people travel in many aspects. However, it is our obligation to future generations to leave them a healthy planet, and thus, we must implement new resilience engineering and construction methods to protect the Earth from natural disasters, global warming, and cyberattacks. Big data analysis and management as well as knowledge regarding how to create resilient and sustainable cities that integrate economic, environment, and society needs are the two crucial aspects that must be considered in civil engineering research and studies. In other words, we must concurrently consider building resilient and sustainable infrastructure systems for cities with spontaneous monitoring, big data analysis, and online asset management to reduce inefficiencies. In this Special Issue, we solicit high-quality original research articles focused on state-of-the-art techniques and methods employed in resilient and smart transport and infrastructure systems. Authors are invited to present original research articles, reviews, or case studies that will stimulate the continuing efforts in the areas of research related to (1) CAVs including but not limited to: CAV infrastructure data mining and big data analytics, infrastructure needs for resiliency, and policy and planning for resilient infrastructure systems; and (2) resilient and smart infrastructure systems including but not limited to nanomaterials and smart materials to harvest energy from infrastructures, innovative smart composite materials for UHPC, 3D printing composites, etc., and concrete composites to make resilient infrastructure systems. We welcome new contexts, methodologies, and findings in both theoretical and application papers of high technical standard across various disciplines, thus facilitating an awareness of techniques and methods in one area that may be applicable to other areas. Topics of interest include but are not limited to: Big data analytics on infrastructure systems for CAVs (data mining, machine learning, AI); CAV infrastructure needs for resiliency; Infrastructure design and management for CAVs (AMEX rankings and efficiency evaluations); CAV operations and controls (network monitoring, LIDAR, Radar); Nondestructive testing for resiliency (infrastructure sensing and imaging); Cyber security, risk-informed decision making, and failure modes; Policy and planning, impact assessment, legal and ethics infrastructure systems; Quantification of various hazard sources (e.g., earthquake, flood, aging); Recent case studies and reported transport system failures (i.e., lessons learned); Recent advances in sustainable and resilient infrastructure systems; Energy harvesting materials for infrastructure systems (thermoelectric materials, piezoelectric materials, nanomaterials, etc.); Innovative smart composite materials for UHPC, 3D printing composites, Geopolymer, etc.; New construction materials and mixture design for resilient infrastructure systems (concrete composites to make resilient infrastructure systems).
Keywords: connected autonomous vehicle; resilient infrastructure systems; LIDAR; radar; cybersecurity; energy harvesting materials; nanomaterials; high-performance and self-healing concrete.