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Network-Wide Assessment of Transportation Systems Using an Epidemic Spreading Methodology
Network-wide assessment of transportation systems is a crucial task in traffic planning and management. Several simulation models (including macroscopic, mesoscopic, microscopic, as well as hybrid modeling) and theoretical models (e.g., macroscopic fundamental diagram) provide such assessments with different levels of detail. Although such models present good insight into dynamics of traffic flow (e.g., the relationship between speed and density) they do not discover the interrelationship between traffic flow dynamics and topology of the network. In this paper, the authors have attempted to macroscopically simulate congestion propagation on a regional road network based on the concept of epidemic spreading models (e.g., susceptible-infected-susceptible method). The results showed that at a critical threshold a transition occurs from a free flow phase to a congested phase. In addition, the simulation results verified that such a phase transition happens at the proposed mathematical threshold based on a topological characteristic (i.e., largest eigen value of adjacency matrix). However, the differences in the nature of congestion propagation and epidemic spreading suggest that further studies are needed to develop a hybrid method (i.e., macro-meso-micro) which mixes the proposed method with existing traffic simulation methods.
Network-Wide Assessment of Transportation Systems Using an Epidemic Spreading Methodology
Network-wide assessment of transportation systems is a crucial task in traffic planning and management. Several simulation models (including macroscopic, mesoscopic, microscopic, as well as hybrid modeling) and theoretical models (e.g., macroscopic fundamental diagram) provide such assessments with different levels of detail. Although such models present good insight into dynamics of traffic flow (e.g., the relationship between speed and density) they do not discover the interrelationship between traffic flow dynamics and topology of the network. In this paper, the authors have attempted to macroscopically simulate congestion propagation on a regional road network based on the concept of epidemic spreading models (e.g., susceptible-infected-susceptible method). The results showed that at a critical threshold a transition occurs from a free flow phase to a congested phase. In addition, the simulation results verified that such a phase transition happens at the proposed mathematical threshold based on a topological characteristic (i.e., largest eigen value of adjacency matrix). However, the differences in the nature of congestion propagation and epidemic spreading suggest that further studies are needed to develop a hybrid method (i.e., macro-meso-micro) which mixes the proposed method with existing traffic simulation methods.
Network-Wide Assessment of Transportation Systems Using an Epidemic Spreading Methodology
Nourzad, Seyed Hossein Hosseini (author) / Pradhan, Anu (author)
ASCE International Workshop on Computing in Civil Engineering ; 2013 ; Los Angeles, California
Computing in Civil Engineering (2013) ; 387-394
2013-06-24
Conference paper
Electronic Resource
English
Network-Wide Assessment of Transportation Systems Using an Epidemic Spreading Methodology
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