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Graph-Based Sparse Neural Networks for Traffic Signal Optimization.

, , , and . CS&P (Revised Selected Papers), volume 1091 of Studies in Computational Intelligence, page 203-227. Springer, (2021)

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Energy and information of chaotic dynamical systems, and . Chaos,Solitons & Fractals, 12 (9): 1611--1618 (July 2001)Adaptive System for Intelligent Traffic Management in Smart Cities., and . AMT, volume 8610 of Lecture Notes in Computer Science, page 525-536. Springer, (2014)Combined Bayesian Networks and Rough-Granular Approaches for Discovery of Process Models Based on Vehicular Traffic Simulation., , and . IPMU (1), volume 80 of Communications in Computer and Information Science, page 278-287. Springer, (2010)A Genetic Algorithm Approach to Optimization of Vehicular Traffic in Cities by Means of Configuring Traffic Lights.. ISMIS Industrial Session, volume 369 of Studies in Computational Intelligence, page 1-10. Springer, (2011)Random beta-Transformations., and . Int. J. Bifurc. Chaos, 16 (4): 1079-1081 (2006)Small Stochastic Perturbations of Random Maps with Position Dependent Probabilities, , and . Stochastic Analysis and Applications, 22 (4): 1121--1130 (2005)Nonobservable space dimensions and the discreteness of time, and . Chaos, Solitons & Fractals, 24 (1): 13--18 (April 2005)Microscopic traffic simulation models for connected and automated vehicles (CAVs) - state-of-the-art., , , , and . ANT/EDI40, volume 170 of Procedia Computer Science, page 474-481. Elsevier, (2020)Traffic Simulation Framework.. UKSim, page 345-349. IEEE Computer Society, (2012)Weakly Convex and Concave Random Maps with Position Dependent Probabilities, and . Stochastic Analysis and Applications, 21 (5): 983--994 (2003)