Traffic disruption and recovery in road networks

Abstract

We study the impact of disruptions on road networks, and the recovery process after the disruption is removed from the system. Such disruptions could be caused by vehicle breakdown or illegal parking. We analyze the transient behavior using domain wall theory, and compare these predictions with simulations of a stochastic cellular automaton model. We find that the domain wall model can reproduce the time evolution of flow and density during the disruption and the recovery processes, for both one-dimensional systems and two-dimensional networks

Taming macroscopic jamming in transportation networks

“…Different network structures would lead to changes in phase transition points (i.e., the effective traffic capacity of the system under control), which should be investigated in detail in future works. We believe that they will trigger rich varieties of studies such as tolerance of transportation networks [35,36], selective protection of nodes [37][38][39][40], and the effects of spacial structure in a link [41][42][43].…”

Assessing road network vulnerability: A user equilibrium interdiction model

“…Although artificially generated, these grids replicate the structure of many postindustrial cities that are developed around the concept of city-block (Blumenfeld, 1949). Furthermore, grids can be easily scaled up, for this reason are frequently used to build dataset to evaluate algorithms (Bekhor and Toledo, 2005;Chiou, 2005;Zhang et al, 2014). Popular Bureau of Public Roads (BPR) formula is used to formulate the relationship between travel times and traffic flows.…”

A Disruption Recovery Problem with Time Windows Change in the Last Mile Delivery of Online Shopping

“…Mu et al [4] proposed a disrupted vehicle routing problem (VRP) to deal with the disruptions that occur at the execution stage of a VRP plan, while Zhang el al. [21] analyzed the effect of disruptions on road networks and the recovery process by using domain wall theory.…”