This paper studies how Connected Vehicle (CV) routing can be leveraged to tame the propagation of congestion after the onset of an incident. To do so, the study focuses on an idealized one-way grid network with a homogenous demand pattern. Congestion propagation dynamics is first modeled analytically and simulated in Aimsun considering a scenario with non-adaptive agents. The results are then compared with a set of scenarios in which a percentage of the actors are CVs who communicate with a centralizer server that reports real-time information on the network state. This information is considered by the vehicles to expand the historic path choice set and repeatedly update their routing choices. The results show that CVs can drastically decrease congestion and improve its dissipation, even at low penetration rate values. The study shows that the CV technology in combination with collaborative routing algorithms can bring substantial benefits to urban mobility in a context of spatial scarcity for the private vehicle.
Controlling congestion propagation in a connected vehicle environment with routing
2017-06-01
1198626 byte
Conference paper
Electronic Resource
English
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