Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Makridis Michail"'
Traffic engineering aims to control infrastructure and population behavior to achieve optimal usage of road networks. Fairness is fundamental to stimulate cooperation in large populations, and plays an important role in traffic engineering, as it inc
Externí odkaz:
http://arxiv.org/abs/2408.01309
City road infrastructure is a public good, and over-consumption by self-interested, rational individuals leads to traffic jams. Congestion pricing is effective in reducing demand to sustainable levels, but also controversial, as it introduces equity
Externí odkaz:
http://arxiv.org/abs/2407.05132
Monetary markets serve as established resource allocation mechanisms, typically achieving efficient solutions with limited information. However, they are susceptible to market failures, particularly under the presence of public goods, externalities,
Externí odkaz:
http://arxiv.org/abs/2406.14728
Automated vehicle technologies offer a promising avenue for enhancing traffic efficiency, safety, and energy consumption. Among these, Adaptive Cruise Control (ACC) systems stand out as a prevalent form of automation on today's roads, with their time
Externí odkaz:
http://arxiv.org/abs/2402.14110
Antifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning
Autor:
Sun, Linghang, Makridis, Michail A., Genser, Alexander, Axenie, Cristian, Grossi, Margherita, Kouvelas, Anastasios
The optimal operation of transportation networks is often susceptible to unexpected disruptions, such as traffic incidents and social events. Many established control strategies rely on mathematical models that struggle to cope with real-world uncert
Externí odkaz:
http://arxiv.org/abs/2402.12665
Autor:
Sun, Linghang, Zhang, Yifan, Axenie, Cristian, Grossi, Margherita, Kouvelas, Anastasios, Makridis, Michail A.
Major cities worldwide experience problems with the performance of their road transportation systems, and the continuous increase in traffic demand presents a substantial challenge to the optimal operation of urban road networks and the efficiency of
Externí odkaz:
http://arxiv.org/abs/2402.00924
We propose a simple and effective method to derive the Fundamental Diagram (FD) from platoon vehicle trajectories. Average traffic state variables are computed using Edie's generalized definitions within time-dependent trapezoidal space-time areas. T
Externí odkaz:
http://arxiv.org/abs/2401.17065
Inference of detailed vehicle trajectories is crucial for applications such as traffic flow modeling, energy consumption estimation, and traffic flow optimization. Static sensors can provide only aggregated information, posing challenges in reconstru
Externí odkaz:
http://arxiv.org/abs/2402.00063
Autor:
Axenie, Cristian, López-Corona, Oliver, Makridis, Michail A., Akbarzadeh, Meisam, Saveriano, Matteo, Stancu, Alexandru, West, Jeffrey
Antifragility characterizes the benefit of a dynamical system derived from the variability in environmental perturbations. Antifragility carries a precise definition that quantifies a system's output response to input variability. Systems may respond
Externí odkaz:
http://arxiv.org/abs/2312.13991
Publikováno v:
Sustainable Automated and Connected Transport