This paper analyzes the day-to-day adjustment process of users’behaviors in a transport network which is affected by relevant alterations such as disruptions due to critical events which cause the impossibility to us...
详细信息
This paper analyzes the day-to-day adjustment process of users’behaviors in a transport network which is affected by relevant alterations such as disruptions due to critical events which cause the impossibility to use one or more *** representing the progressive adjustment of the flows on the network to reach a new equilibrium,a dayto-day discrete-time model is proposed,based on the idea that people are bounded rational in their choices,*** often do not behave according to the optimal solution but they accept solutions they consider ***,in their choice process,are influenced by the topological similarity between the route they are currently using and *** means that they tend to prefer the solutions that are more similar to the one they are already *** parallel,users exhibit a myopic behavior,i.e.,they tend to overestimate the goodness of a route if,when using it,they suddenly experience a significant reduction in travel time compared to what they are used *** the paper it is shown that such route choice behaviour implies that the steady state of the system corresponds to a Bounded Rational User Equilibrium,i.e.,a state that does not diverge from the user equilibrium more than a certain value which increases when the relative importance given to the topological similarity *** model also assumes that these biases vanish,at least with respect to those routes that are most frequently used by users,after a sufficient amount of *** certain conditions,it is then shown that the steady state can eventually collapse into a User *** effectiveness of the proposed model is assessed via simulation results in which two test networks are analyzed in detail to show the evolution of the users’behaviour in a transport network after a disruption.
In the context of formal verification of Multi-Agent systems, it is common to check whether a subset of agents (also called a coalition) can achieve specific goals of interest, usually expressed as temporal properties...
详细信息
Recent advances in Multi-Agent systems (MAS) have shown the importance of this field in computer science. Applications can vary in many different research areas in which the problems can be tackled with distributional...
详细信息
Simulating everyday traffic scenarios is not an easy task. Many aspects have to be taken into consideration and properly modelled, from static components, like traffic lights, to dynamic components, like vehicles. Due...
详细信息
Traffic congestion in freeways poses significant challenges, impacting travel times and environmental sustainability. This paper proposes a novel approach to enhance ramp metering control using predictive traffic insi...
详细信息
In this paper, we present the results achieved by performing a test addressed to evaluate the capabilities of the so-called AI content Detectors or AI Detection systems. Such systems promise to find out whether a give...
详细信息
We present here the main research topics and activities on the design, security, safety, and robustness of machine learning models developed at the Pattern Recognition and Applications Laboratory (PRALab) of the Unive...
详细信息
We present here the main research topics and activities on security, safety, and robustness of machine learning models developed at the Pattern Recognition and Applications (PRA) Laboratory of the University of Caglia...
详细信息
The transition to electric transportation is gaining more and more importance in the last years leading to new challenges to be addressed. A key role in this framework is represented by public transportation systems. ...
详细信息
The transition to electric transportation is gaining more and more importance in the last years leading to new challenges to be addressed. A key role in this framework is represented by public transportation systems. This paper introduces a Discrete Event (DE) optimization model to optimize the charging scheduling of electric buses (EBs). By accounting for time tabling constraints, energy demand satisfaction, and the capability for simultaneous multi-socket charging, our model addresses the complexities inherent in managing EB fleets. Utilizing a periodic model to capture cyclical system behavior, we incorporate a detailed battery model reflecting nonlinear charging profiles to enhance accuracy in power requirement prediction and charging duration estimation. Validation of our model is performed using real-world data, demonstrating its practical applicability.
This paper aims to investigate the presence of cognitive biases, more specifically of Availability heuristics, Representativeness heuristics and Framing, in OpenAI's ChatGPT 3.5 and ChatGPT 4, as well as the lingu...
详细信息
暂无评论