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A method to estimate the macroscopic fundamental diagram using limited mobile probe data.

, and . ITSC, page 1987-1992. IEEE, (2013)

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Evaluating ITS strategies for real-time freeway safety improvement., , , , and . ITSC, page 1114-1119. IEEE, (2006)Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation., , , and . SIGKDD Explor., 22 (2): 12-18 (2020)C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework., , and . CoRR, (2024)A Survey on Traffic Signal Control Methods., , , and . CoRR, (2019)A Max Pressure Algorithm for Traffic Signals Considering Pedestrian Queues., , and . CoRR, (2024)PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network., , , , , , and . KDD, page 1290-1298. ACM, (2019)Implementing phase rotation in a person-based signal timing optimization framework., , and . ITSC, page 20-25. IEEE, (2018)A method to estimate the macroscopic fundamental diagram using limited mobile probe data., and . ITSC, page 1987-1992. IEEE, (2013)Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion., , , and . ACC, page 5402-5407. IEEE, (2014)A Scalable and Computationally Efficient Connected Vehicle-Based Signal Control Algorithm., , and . ITSC, page 66-71. IEEE, (2018)