[HTML][HTML] The traffic signal control problem for intersections: a review
Background The intersection traffic signal control problem (ITSCP) has become even more
important as traffic congestion has been more intractable. The ITSCP seeks an efficient …
important as traffic congestion has been more intractable. The ITSCP seeks an efficient …
A review of reinforcement learning applications in adaptive traffic signal control
In urban areas, the problem of recurring daily congestion is constantly increasing. A possible
solution is seen in the application of adaptive traffic signal control (ATSC) systems for the …
solution is seen in the application of adaptive traffic signal control (ATSC) systems for the …
Coordinated transit signal priority supporting transit progression under connected vehicle technology
In this paper, a person-delay-based optimization method is proposed for an intelligent TSP
logic that enables bus/signal cooperation and coordination among consecutive signals …
logic that enables bus/signal cooperation and coordination among consecutive signals …
Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network
Max-pressure signal control has been analytically proven to maximize the network
throughput and stabilize queue lengths whenever possible. Since there are many transit …
throughput and stabilize queue lengths whenever possible. Since there are many transit …
Optimizing traffic control to reduce fuel consumption and vehicular emissions: Integrated approach with VISSIM, CMEM, and VISGAOST
A Stevanovic, J Stevanovic, K Zhang… - Transportation …, 2009 - journals.sagepub.com
One way to reduce excessive fuel consumption and vehicular emissions on urban streets is
to optimize signal timings. Historically, signal timing optimization tools were used to reduce …
to optimize signal timings. Historically, signal timing optimization tools were used to reduce …
A simulation-based optimization algorithm for dynamic large-scale urban transportation problems
This paper addresses large-scale urban transportation optimization problems with time-
dependent continuous decision variables, a stochastic simulation-based objective function …
dependent continuous decision variables, a stochastic simulation-based objective function …
Schedule-driven intersection control
Model-based intersection optimization strategies have been widely investigated for
distributed traffic signal control in road networks. Due to the form of “black-box” optimization …
distributed traffic signal control in road networks. Due to the form of “black-box” optimization …
A computationally efficient simulation-based optimization algorithm for large-scale urban transportation problems
This paper proposes a computationally efficient simulation-based optimization (SO)
algorithm suitable to address large-scale generally constrained urban transportation …
algorithm suitable to address large-scale generally constrained urban transportation …
Bayesian optimization techniques for high-dimensional simulation-based transportation problems
Bayesian optimization (BO) is an attractive method for tackling transportation optimization
problems due to its ability to balance exploitation and exploration. However, scaling BO to …
problems due to its ability to balance exploitation and exploration. However, scaling BO to …
Urban transportation emissions mitigation: Coupling high-resolution vehicular emissions and traffic models for traffic signal optimization
C Osorio, K Nanduri - Transportation Research Part B: Methodological, 2015 - Elsevier
This paper proposes a methodology that allows high-resolution traffic and emissions
models, known as microscopic simulation models, to be efficiently used to address …
models, known as microscopic simulation models, to be efficiently used to address …