3. Producción
Browse
3 results
Search Results
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Urban road network resilience assessment on freight logistics by simulating disruptive events(Springer, 2022-01-01)The assessment of resilience in port road networks under disruptive events is a key issue related to urban logistics. This paper addresses an original simulation method to evaluate resilience using macro and micro simulation based on stochastic theory. The results provide insight into the resilience index of the network. This paper specifies the most influential network links around the area of influence produced by a logistics transport avenue in Lima-Peru. A function that includes redundancy and robustness of the system as a performance measure is proposed to measure resilience. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evaluating the Resilience of Urban Road Networks Against Recurrent Disruptions: A Hysteretic Approach(Institute of Electrical and Electronics Engineers Inc., 2026-01-01)Performance-based resilience measures arise from the need to quantify the dynamic response of transportation systems to extreme disruptive events, where recovery is central. Extending the scope of these measures to recurrent events demands a proper assessment of the disruptive stage, which exhibits a progressive behavior determined by cascading failure. To account for both disruptive and recovery stages, we propose a hysteretic model built upon standard traffic microsimulation data, where the arriving flow is described by a three-stage Ornstein-Uhlenbeck stochastic process. By relating its deterministic component to the solution of a differential equation analogous to a mass-spring system, we construct a hysteresis curve that describes system resilience as a unified process, covering both the disruptive and recovery stages, whereas its enclosed area represents performance loss. Finally, we propose a new quantitative resilience measure, the normalized hysteretic resilience (NHR), associated with the hysteresis loop. The methodology is demonstrated for the case study of the influence area of a bus rapid transit (BRT) terminal when a critical segment is blocked by a traffic accident. Findings show that the NHR measure is suitable to quantify the nonlinear behavior of traffic flows and consistent with existing resilience measures. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Control Theory and Bayesian Networks for Black Spots Study(Institute of Electrical and Electronics Engineers Inc., 2025-01-01)Traffic accidents are recurring ordinary disruptive events in an urban road network. To measure the performance and recovery of an urban road network, it is necessary to identify and predict the locations on the network where they occur. The application of control theory to identify black spots has mainly focused on interstate and inter-regional highways. However, there is limited literature on the application of these theories to urban road networks and in the definition of black spots. This article introduces an innovative methodology for defining black spots based on control theory, which is adapted to urban road networks with appropriate measurement metrics that prove more suitable than those used following Euclidean norms. To predict whether a traffic accident occurs at a black spot, a Bayesian network is employed, which also indicates the reliability of the accident classification result. It demonstrates better efficiency than methodologies based on logistic regression and Naive Bayes, which is why this algorithm is chosen. The article concludes by measuring the impact of the most significant black spots in an urban road network in Metropolitan Lima, using the concept of transport resilience.2