This paper provides a comprehensive review of 68 recent methods for conflict detection and resolution (CD&R) in air traffic control, categorizing them based on a framework that includes state information dimensions, dynamic state propagation methods, conflict detection thresholds, conflict resolution methods, maneuvering dimensions, and management of multiple aircraft conflicts. The authors critique the current system design process and highlight the need for a more structured approach to evaluate and compare CD&R models. The paper discusses the importance of considering various factors such as uncertainty management, coordination between aircraft, and integration with other systems. It also emphasizes the need for a consistent benchmarking method to analyze and validate models, addressing issues like pilot and controller acceptance, robustness to failure, and integration with weather information. The goal is to provide a framework for developing new models and comparing existing ones, ultimately improving the efficiency and safety of air traffic management.This paper provides a comprehensive review of 68 recent methods for conflict detection and resolution (CD&R) in air traffic control, categorizing them based on a framework that includes state information dimensions, dynamic state propagation methods, conflict detection thresholds, conflict resolution methods, maneuvering dimensions, and management of multiple aircraft conflicts. The authors critique the current system design process and highlight the need for a more structured approach to evaluate and compare CD&R models. The paper discusses the importance of considering various factors such as uncertainty management, coordination between aircraft, and integration with other systems. It also emphasizes the need for a consistent benchmarking method to analyze and validate models, addressing issues like pilot and controller acceptance, robustness to failure, and integration with weather information. The goal is to provide a framework for developing new models and comparing existing ones, ultimately improving the efficiency and safety of air traffic management.