TY - JOUR
T1 - Adaptive look-ahead optimization of traffic signals
AU - Porche, Isaac
AU - Lafortune, Stéphane
N1 - Funding Information:
Keywords: Intelligent Transportation Systems; Real-time adaptive traffic signal control; Coordinated traffic signals; Transit priority systems * Research supported in part by the Rackham Merit Fellowship Program, and by the University of Michigan Research Center of Excellence in Intelligent Transporvalion Systems funded by FHWA and industrial affiliates. 'Corresponding author. E-mail: [email protected], [email protected].
PY - 1999
Y1 - 1999
N2 - ALLONS-D is a decentralized real-time traffic control scheme. A description of its basic architecture, system model, and optimization algorithm is given. Through simulations, the scheme is shown to be suitable for adaptive control of an isolated intersection. An efficient tree searching algorithm is used to find a traffic signal plan that minimizes delay. The search is constrained only by maximum and minimum green times per phase. This algorithm is free to consider cyclic and non-cyclic signal plans alike. The rolling horizon concept is used for the calculation and implementation of optimal signal plans. The ALLONS-D scheme has several key differences with other real-time traffic control schemes, such as OPAC. Extensive simulation experiments on a single intersection indicate the success of the ALLONS-D scheme versus any fixed-cycle plan. The tests included a full range of uniform and non-uniform demands from low levels of saturation to the over-saturated case. For arterial networks of intersections, the scheme is shown to be capable of inducing a level of coordination that results in progressive signal plans. In particular, the scheme can be used to coordinate travel times on transit routes. An extension of the scheme to provide network-wide optimization of traffic signals is explained in the form of a two-layer scheme. Some preliminary results using this approach are included. Simulation experiments are performed with a newly developed-traffic simulator called STNS.
AB - ALLONS-D is a decentralized real-time traffic control scheme. A description of its basic architecture, system model, and optimization algorithm is given. Through simulations, the scheme is shown to be suitable for adaptive control of an isolated intersection. An efficient tree searching algorithm is used to find a traffic signal plan that minimizes delay. The search is constrained only by maximum and minimum green times per phase. This algorithm is free to consider cyclic and non-cyclic signal plans alike. The rolling horizon concept is used for the calculation and implementation of optimal signal plans. The ALLONS-D scheme has several key differences with other real-time traffic control schemes, such as OPAC. Extensive simulation experiments on a single intersection indicate the success of the ALLONS-D scheme versus any fixed-cycle plan. The tests included a full range of uniform and non-uniform demands from low levels of saturation to the over-saturated case. For arterial networks of intersections, the scheme is shown to be capable of inducing a level of coordination that results in progressive signal plans. In particular, the scheme can be used to coordinate travel times on transit routes. An extension of the scheme to provide network-wide optimization of traffic signals is explained in the form of a two-layer scheme. Some preliminary results using this approach are included. Simulation experiments are performed with a newly developed-traffic simulator called STNS.
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U2 - 10.1080/10248079908903749
DO - 10.1080/10248079908903749
M3 - Article
AN - SCOPUS:0032593930
SN - 1024-8072
VL - 4
SP - 209
EP - 254
JO - Journal of Intelligent Transportation Systems
JF - Journal of Intelligent Transportation Systems
IS - 3
ER -