A link model approach to identify congestion hotspots
arXiv:2205.08981 · doi:10.1098/rsos.220894
Abstract
Congestion emerges when high demand peaks put transportation systems under stress. Understanding the interplay between the spatial organization of demand, the route choices of citizens, and the underlying infrastructures is thus crucial to locate congestion hotspots and mitigate the delay. Here we develop a model where links are responsible for the processing of vehicles that can be solved analytically before and after the onset of congestion providing insights into the global and local congestion. We apply our method to synthetic and real transportation networks observing a strong agreement between the analytical solutions and the monte carlo simulations, and a reasonable agreement with the travel times observed in 12 cities under congested phase. Our framework can incorporate any type of routing extracted from real trajectory data to provide a more detailed description of congestion phenomena and could be used to dynamically adapt the capacity of road segments according to the flow of vehicles or reduce congestion through hotspot pricing.
arXiv comment29 pages, 40 figures
References in corpus (28)
- OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks
- Generalized Force Model of Traffic Dynamics
- Optimal network topologies for local search with congestion
- Random Walks on Multiplex Networks
- Resilience and efficiency in transportation networks
- Understanding Road Usage Patterns in Urban Areas
- The Price of Anarchy in Transportation Networks: Efficiency and Optimality Control
- Dynamics of jamming transitions in complex networks
- Optimal routing on complex networks
- From the betweenness centrality in street networks to structural invariants in random planar graphs
- A simple contagion process describes spreading of traffic jams in urban networks
- Designing optimal transport networks
- Congestion phenomena on complex networks
- Effective approach to epidemic containment using link equations in complex networks
- Optimal Traffic Networks
- Emergence of hierarchy in cost driven growth of spatial networks
- Traffic optimization in transport networks based on local routing
- Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona
- Critical factors for mitigating car traffic in cities
- Mobility and Congestion in Dynamical Multilayer Networks with Finite Storage Capacity
- A model to identify urban traffic congestion hotspots in complex networks
- Decongestion of urban areas with hotspot-pricing
- A minimal model for congestion phenomena on complex networks
- Jamming transition in traffic flow under the priority queuing protocol
- Optimization of transport protocols with path-length constraints in complex networks
- Multiple abrupt phase transitions in urban transport congestion
- Emergence of spatial transitions in urban congestion dynamics
- A link model approach to identify congestion hotspots