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An anisotropic continuum model for traffic assignment in mixed transportation networks
(Elsevier Science Inc, 2017-10)
This work deals with a two-dimensional continuum model for the problem of congested traffic assignment in an urban transportation system consisting of a set of freeways superimposed over a dense street network. The formulation ...
A New Network Traffic Modeling Based in Conservative Multiplicative Cascade with Weights Newton Binomial
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2013)
Spatiotemporal Complexity of a City Traffic Jam
(Old City Publishing, 2016)
We model city traffic by a cellular automaton. It consist of a row of interacting cars through a sequence of traffic lights, synchronized by a propagating green signal. We start the system from an initial jammed condition ...
Urban vehicular traffic: Fitting the data with a hybrid stochastic model. Part II
(2018-11-01)
In this second part of our research we used the models presented in Modeling vehicular traffic networks. Part I (Otero et al., 2018) to perform an analysis of the urban traffic as recorded by cameras distributed in a chosen ...
Effect of stochastic transition in the fundamental diagram of traffic flow
(Elsevier B.V., 2016-05-01)
In this work, we propose an alternative stochastic model for the fundamental diagram of traffic flow with minimal number of parameters. Our approach is based on a mesoscopic viewpoint of the traffic system in terms of the ...
Slow-to-Start Traffic Model: Traffic Saturation and Scaling Limits
(Springer, 2020-09)
We consider a one-dimensional traffic model with a slow-to-start rule. The initial position of the cars in R is a Poisson process of parameter λ. Cars have speed 0 or 1 and travel in the same direction. At time zero the ...
Genetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flow
(2014-01-01)
This work presents an algorithm for the optimization of urban traffic flow that computes the vehicle routes and traffic lights timing in real time. The optimization procedure uses a genetic algorithm whose fitness function ...
Mental representation of traffic signs and their classification: informative signs
(2021)
The effect of traffic signs in the driving behavior is not fully understood yet. The knowledge of humans’ cognitive processing of the meaning of traffic signs will improve response time to those signs and the decision ...
Mental representation of traffic signs and their classification: warning signs
(2019)
Elsevier Ltd The effect of traffic signs in the motor behavior of drivers is not fully understood yet. Knowing about how humans process the meaning of signs will improve response time to those signs and the decision making ...
Model-based predictive control for bicycling in urban intersections
(2016)
In this paper, a model predictive control approach for improving the efficiency of bicycling as part of intermodal transportation systems is proposed. Considering a dedicated bicycle lanes infrastructure, the focus in this ...