Person
Dimitrios Tsitsokas
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Related units (1)
MOOCs taught by this person (2)
Intro to Traffic Flow Modeling and Intelligent Transport Systems
Learn how to describe, model and control urban traffic congestion in simple ways and gain insight into advanced traffic management schemes that improve mobility in cities and highways.
Intro to Traffic Flow Modeling and Intelligent Transport Systems
Learn how to describe, model and control urban traffic congestion in simple ways and gain insight into advanced traffic management schemes that improve mobility in cities and highways.
Related publications (9)
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Large-scale traffic signal control and multimodal network design
Traffic congestion constitutes one of the most frequent, yet challenging, problems to address in the urban space. Caused by the concentration of population, whose mobility needs surpass the serving capacity of urban networks, congestion cannot be resolved ...
EPFL2022Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks
Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas
Decentralized signal control of congested traffic networks based on the Max-Pressure (MP) controller is theoretically proven to maximize throughput, stabilize the system and balance queues for single intersections under specific conditions. However, its pe ...
2022Efficient Max-Pressure Traffic Management for Large-Scale Congested Urban Networks
Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas
Traffic responsive signal control systems bear high potential in reducing delays in congested networks due to their ability of dynamically adjusting right-of-way assignment among conflicting movements, based on real-time traffic measurements. In this work, ...
2022