## 1 Introduction  
Civil Integrated Management (CIM) can be generally described as a centralized repository of digital information related to the transportation infrastructure network, having at its core, the idea of a \"digital twin\" [1; 2]. The digital twin is a 3D electronic model such as the Building Information Model (BIM), created to represent a real-world object, and the model can be interrogated by users to acquire detailed information or simulate various scenarios [3]. The CIM is also defined as the process of collecting, organizing, managing, and sharing digital information between all the involved stakeholders throughout the entire lifecycle of a project, from early planning to construction and operation and maintenance (O&M) phases [4; 5]. Implementing CIM in a transportation project will affect the entire course of the project, from the critical initial decision-making process to project delivery among the various stakeholders involved, including agencies, contractors, suppliers, and legal authorities [6; 7]. While construction contractors have implemented BIM practices such as 3D modeling, cost estimation, clash detection, etc., for building projects, other CIM practices have not been frequently implemented on transportation projects [8; 9]. Transportation agencies often collect and store a vast amount of data from the surveying, design, construction, and O&M phases [10]. It is necessary to integrate and correlate all the existing data through a workflow model and provide access to all the involved parties to increase the use of digital project-delivery practices [11; 12]. The digital information of an asset increases throughout its lifecycle, stage by stage, but the data become lost when migrating between different stages of a project using traditional workflows [13]. Pertinent information identified during the design stages of an asset can be confirmed and corrected during construction, as well as linked to the asset-management systems (AMSs) after the project completion and utilized for maintenance and operation [14]. The National Cooperative Highway Research Program (NCHRP) defines three levels of CIM maturity (initial, intermediate, and advanced) depending on the capacities of divisions responsible for project phases, extending from the planning phase through the operation and maintenance stages [15; 16]. It was discovered that implementing the intermediate levels of CIM practices could be challenging for some companies [17]. This review article identified the necessity of expanding the research scope to the advanced level of CIM implementation. The concept of each trend and its relative usage in various phases of a project are presented, as well as their related challenges. The objective of this review is to investigate the most recent findings and practices that facilitate the advanced level of CIM implementation in which model-based project execution throughout the asset lifecycle becomes the standard practice. The objective of this review study was related to topics that align with the advanced maturity level of CIM implementation, characterized by lifecycle adoption of CIM including scoping and surveying, construction planning, information management, and operation and maintenance phases. Considering the extensive range of available CIM tools and practices, the scope of this study was strategically narrowed down to encompass a lifecycle approach to integrated digital project management, focusing on innovative practices and transformative technologies that facilitate data-driven and model-centric advancements in transportation infrastructure. Consequently, detailed explorations of contract and material-management systems, comparative assessments of design platforms, and traffic-modeling systems were excluded from this review. The mentioned areas, although critical to the operational execution of CIM, are beyond the intended macro-level synthesis of this review.