Traffic congestion is a perpetual problem for the sustainability of transportation development. Traffic congestion causes delays, inconvenience, and economic losses to drivers, as well as air pollution. Identification and quantification of traffic congestion are crucial for decision-makers to initiate mitigation strategies to improve the overall transportation system’s sustainability. In this paper, the currently available measures are detailed and compared by implementing them on a daily and weekly traffic historical dataset. The results showed each measure showed significant variations in congestion states while indicating a similar congestion trend. The advantages and disadvantages of each measure are identified from the data analysis. This study summarizes the current road traffic congestion measures and provides a constructive insight into the development of a sustainable and resilient traffic management system.

A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System

In the Internet of Things (IoT), various devices operate collaboratively in collecting data, relaying information to one another, and processing information intelligently. Due to interactions and dependencies between the IoT devices, the malfunction of one device may trigger a cascade of unexpected and often undesired state changes of other devices, introducing or accelerating catastrophic cascading failures. Understanding the causes of cascading failures and modeling their behavior and effects is crucial for guaranteeing the reliability of IoT systems and delivering the desired quality of service. This article systematically reviews cascading failures modeling and reliability analysis methodologies, as well as mitigation strategies for building the resilience of IoT systems against cascading failures. The review covers diverse IoT applications, from smart grids to smart homes, from sensor networks to IoT cloud computing, and from transportation networks to interdependent infrastructure networks. Opportunities and open research issues are also discussed in relation to restrictions of the current cascading failure models and methods, and potential new technologies and complexity of the constantly evolving IoT systems.

Cascading Failures in Internet of Things: Review and Perspectives on Reliability and Resilience

A multi-objective resilience-economic stochastic scheduling method for microgrid

A probabilistic estimation of traffic congestion using Bayesian network

The power system is vital to energy security, emergency services, critical infrastructures, and the economy. Resilience of the power system against high-impact low-probability events is of particular importance to ensure the stability and reliability of the system planning and operation. The challenges and opportunities towards both the evaluation and improvement of resilience of the power system are explicitly reviewed in this paper. Appropriate criteria with a comprehensive understanding of resiliency are emphasized. In addition, to improve the modern power system resilience, this article considers the short and long-term plans with different categorizations, along with a detailed analysis of the corresponding challenges. Short-term plans refer to resilience-oriented scheduling, and long-term plans indicate fundamental corrections such as hardening and equipment upgrades. Practical methods are discussed in the paper to evaluate and improve the modern power system resilience. Furthermore, some common metrics for long-term and short-term resilience assessment are evaluated and compared. The investigations have shown that microgrids have a high potential to improve resilience of the power system by bringing energy sources closer to load centers, and reducing the grid dependence on transmission lines, which are the most vulnerable equipment against natural disasters. 

Trends in modern power systems resilience: State-of-the-art review

Multi-energy systems (MES) depend on various energy sources to supply reliable and constant energy for our daily activities. The interdependencies between various energy sources could cause the MES...

Tanzina Arfin

Papers

A resilience assessment of an interdependent multi-energy system with microgrids