Vikash V. Gayah
Orcid: 0000-0002-0648-3360
According to our database1,
Vikash V. Gayah
authored at least 22 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework.
CoRR, 2024
CoRR, 2024
CoRR, 2024
2023
Simulation analysis of urban network performance under link disruptions: Impacts of information provisions in different street configurations.
J. Intell. Transp. Syst., July, 2023
Decentralized arterial traffic signal optimization with connected vehicle information.
J. Intell. Transp. Syst., March, 2023
Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates.
CoRR, 2023
2022
Incorporating Phase Rotation Into a Person-Based Signal Timing Optimization Algorithm.
IEEE Trans. Intell. Transp. Syst., 2022
2020
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation.
SIGKDD Explor., 2020
2019
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
A Scalable and Computationally Efficient Connected Vehicle-Based Signal Control Algorithm.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Analysis of Traffic Statics and Dynamics in Signalized Networks: A Poincaré Map Approach.
Transp. Sci., 2017
2015
Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic: A Statistical Mechanics-Inspired Method.
IEEE Trans. Intell. Transp. Syst., 2015
Design and Evaluation of Network Control Strategies Using the Macroscopic Fundamental Diagram.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
2014
EURO J. Transp. Logist., 2014
Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion.
Proceedings of the American Control Conference, 2014
2013
A method to estimate the macroscopic fundamental diagram using limited mobile probe data.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
2012
The potential of parsimonious models for understanding large scale transportation systems and answering big picture questions.
EURO J. Transp. Logist., 2012
2007
Crash Risk Assessment Using Intelligent Transportation Systems Data and Real-Time Intervention Strategies to Improve Safety on Freeways.
J. Intell. Transp. Syst., 2007
2006
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006