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Crash Risk Assessment Using Intelligent Transportation Systems Data and Real-Time Intervention Strategies to Improve Safety on Freeways., , , , and . J. Intell. Transp. Syst., 11 (3): 107-120 (2007)Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation., , , and . SIGKDD Explor., 22 (2): 12-18 (2020)Evaluating ITS strategies for real-time freeway safety improvement., , , , and . ITSC, page 1114-1119. IEEE, (2006)Analysis of Traffic Statics and Dynamics in Signalized Networks: A Poincaré Map Approach., , and . Transp. Sci., 51 (3): 1009-1029 (2017)Incorporating Phase Rotation Into a Person-Based Signal Timing Optimization Algorithm., , , and . IEEE Trans. Intell. Transp. Syst., 23 (1): 513-521 (2022)Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates., , , and . CoRR, (2023)A Survey on Traffic Signal Control Methods., , , and . CoRR, (2019)PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network., , , , , , and . KDD, page 1290-1298. ACM, (2019)A Scalable and Computationally Efficient Connected Vehicle-Based Signal Control Algorithm., , and . ITSC, page 66-71. IEEE, (2018)The potential of parsimonious models for understanding large scale transportation systems and answering big picture questions., , and . EURO J. Transportation and Logistics, 1 (1-2): 47-65 (2012)